Copper indium gallium selenide(CIGS)thin-film solar cells have attracted substantial attention due to their high efficiency and scalable fabrication processes.However,achieving optimized and reproducible performance r...Copper indium gallium selenide(CIGS)thin-film solar cells have attracted substantial attention due to their high efficiency and scalable fabrication processes.However,achieving optimized and reproducible performance remains challenging because of the complex process flows and interdependent,multidimensional parameters inherent to these heterojunction devices.Elucidating the process-structureperformance relationship between manufacturing parameters and device output is therefore essential.In this study,we demonstrate an effective approach for optimizing CIGS performance using interpretable machine learning(ML)and construct a whole-process database comprising 756 experimental samples.Through multi-model comparison,the Categorical Boosting(CatBoost)algorithm is identified as the optimal model across four performance metrics,yielding a coefficient of determination(R2)of 0.755 for power conversion efficiency(PCE)with a root mean square error(RMSE)of 2.3%.By integrating Shapley additive explanations(SHAP)with parallel-coordinates visualization,this study systematically quantifies the dominant contributions of the anti-reflection coating(ARC)and fabrication methodologies,while revealing critical compositional trade-offs.Moreover,a Golden Process Corridor for high-efficiency devices is established,indicating that improved performance is associated with ARC deposition,the three-stage co-evaporation method,an absorber thickness of 2.0–3.0μm,[Cu]/([Ga]+[In])ratio of 0.89–0.95,and[Ga]/([Ga]+[In])ratio of 0.29–0.42.ML demonstrates strong predictive capability for device performance,offering a transferable roadmap to accelerate process optimization for singlejunction and tandem CIGS devices while reducing research and development costs.展开更多
This study focused on improving the cathode performance of Ba0.6Sr0.4Co0.85Nb0.15O3-δ(BSCN)-based perovskite materials through molybdenum(Mo)doping.Pure BSCN and Mo-modified-BSCN—Ea0.6Sr0.4Co_(0...This study focused on improving the cathode performance of Ba0.6Sr0.4Co0.85Nb0.15O3-δ(BSCN)-based perovskite materials through molybdenum(Mo)doping.Pure BSCN and Mo-modified-BSCN—Ea0.6Sr0.4Co0.85Nb0.1Mo0.05O3-δ(B S CNM0.05),Ba0.6Sr0.4Co0.85Nb0.05Mo0.1O3-δ(BSCNM0.1),and Ba0.6Sr0.4Co0.85Mo0.15O3-δ(BSCM)—with Mo doping contents of 5mol%,10mol%,and15mol%,respectively,were successfully prepared using the sol-gel method.The effects of Mo doping on the crystal structure,conductivity,thermal expansion coefficient,oxygen reduction reaction(ORR)activity,and electrochemical performance were systematically evaluated using X-ray diffraction analysis,thermally induced characterization,electrochemical impedance spectroscopy,and single-cell performance tests.The results revealed that Mo doping could improve the conductivity of the materials,suppress their thermal expansion effects,and significantly improve the electrochemical performance.Surface chemical state analysis using X-ray photoelectron spectroscopy revealed that 5mol%Mo doping could facilitate a high adsorbed oxygen concentration leading to enhanced ORR activity in the materials.Density functional theory calculations confirmed that Mo doping promoted the ORR activity in the materials.At an operating temperature of 600℃,the BSCNM0.05cathode material exhibited significantly enhanced electrochemical impedance characteristics,with a reduced area specific resistance of 0.048Ω·cm~2,which was lower than that of the undoped BSCN matrix material by 32.39%.At the same operating temperature,an anode-supported single cell using a BSCNM0.05cathode achieved a peak power density of 1477 mW·cm-2,which was 30.71%,56.30%,and 171.50%higher than those of BSCN,BSCNM0.1,and B SCM,respectively.The improved ORR activity and electrochemical performance of BSCNM0.05indicate that it can be used as a cathode material in low-temperature solid oxide fuel cells.展开更多
This work investigates the transient performance and stability of CO2/H2O co-electrolysis in an air-free environment using a flat-tube solid oxide electrolysis cell(SOEC)stack.The results showed that the transie...This work investigates the transient performance and stability of CO2/H2O co-electrolysis in an air-free environment using a flat-tube solid oxide electrolysis cell(SOEC)stack.The results showed that the transient behavior of the stack with and without blowing gas into the air electrode is almost the same.With a current density of 0.67 A·cm-2@750℃,the stack operated for over 200 h under co-electrolysis conditions without air blowing,and the voltage drop rate of the stack was approximately 0.203%/100 hours.Microstructure analysis revealed a significant loss of nickel particles and an apparent for-mation of an insulating phase strontium chromate(SrCrO4)on the surface of the current collection layer of the air electrode,which are identified as key factors contributing to the performance degradation of the stack.This study provides a reference for development of efficient fuel preparation technology based on SOEC stack in airless environments.展开更多
Organic solar cells(OSCs)have progressed rapidly in recent years,driven by advances in donor polymers,non-fullerene acceptors,and increasingly complex binary and multicomponent blend architectures.Despite these achiev...Organic solar cells(OSCs)have progressed rapidly in recent years,driven by advances in donor polymers,non-fullerene acceptors,and increasingly complex binary and multicomponent blend architectures.Despite these achievements,device performance remains governed by strongly coupled molecular,morphological,and processing variables,making materials optimization inherently multidimensional and difficult to navigate using conventional trial-and-error approaches.The growing availability of experimental data and computational descriptors has therefore encouraged the integration of machine learning(ML)techniques into OSC research as a complementary strategy for accelerating materials discovery and device optimization.Among the available ML strategies,ensemble learning has proven particularly well suited to OSC systems,where datasets are often limited,heterogeneous,and derived from diverse experimental conditions.This review provides a focused and materials-oriented examination of ensemble learning applications in OSC research,spanning donor and acceptor screening,blend optimization,and stability-related prediction tasks.Bagging-based,boosting-based,and stacking-based approaches are discussed in relation to their roles in predicting key photovoltaic metrics,including power conversion efficiency(PCE),open-circuit voltage(Voc),short-circuit current density(Jsc),and related device parameters.The interplay between data sources,descriptor selection,and model performance is critically analyzed,with particular attention to model interpretability through feature-importance evaluation and other explainable learning techniques.Finally,current challenges are discussed,and ensemble learning is positioned as a practical and interpretable tool for accelerating rational OSC materials design.展开更多
Seismic source locations can characterize the spatial and temporal distributions of seismic sources,and can provide important basic data for earthquake disaster monitoring,fault activity characterization,and fracture ...Seismic source locations can characterize the spatial and temporal distributions of seismic sources,and can provide important basic data for earthquake disaster monitoring,fault activity characterization,and fracture growth interpretation.Waveform stacking-based location methods invert the source locations by focusing the source energy with multichannel waveforms,and these methods exhibit a high level of automation and noise-resistance.Taking the cross-correlation stacking(CCS)method as an example,this work attempts to study the influential factors of waveform stacking-based methods,and introduces a comprehensive performance evaluation scheme based on multiple parameters and indicators.The waveform data are from field monitoring of induced microseismicity in the Changning region(southern Sichuan Basin of China).Synthetic and field data tests reveal the impacts of three categories of factors on waveform stacking-based location:velocity model,monitoring array,and waveform complexity.The location performance is evaluated and further improved in terms of the source imaging resolution and location error.Denser array monitoring contributes to better constraining source depth and location reliability,but the combined impact of multiple factors,such as velocity model uncertainty and multiple seismic phases,increases the complexity of locating field microseismic events.Finally,the aspects of location uncertainty,phase detection,and artificial intelligencebased location are discussed.展开更多
Crude petroleum pollution causes some serious ecological disasters in the ocean.Marine sediment microbial fuel cells(MSMFCs)have been utilized as a novel method for in-situ degradation and a long-term power source.Her...Crude petroleum pollution causes some serious ecological disasters in the ocean.Marine sediment microbial fuel cells(MSMFCs)have been utilized as a novel method for in-situ degradation and a long-term power source.Herein,the effect of different concentrations of rhamnolipids biosurfactant on the electrochemical performance of MSMFCs anode and the higher efficiency of oil degradation are creatively investigated.The results indicate that the anode in sediment containing rhamnolipids effectively enriches the indigenous electrogenic Pseudophaeobacter and Pseudomonas,which significantly enhances the electrochemical performance of the MSMFCs.Under rhamnolipids at the concentration of 200 mg kg-1in sediment,the anode specific capacitance(401.45 Fm-2),exchange current density(4.87×10-2mAm-2),and cell maximum power density(140.24 mWm-2)increase by 2.50,38.65,and 2.11 times,respectively,in comparison with its natural sediment.And the oil degradation rate(40.06%)was higher than the blank(17.55%).It demonstrates that the synergistic effect between electrochemical catalytic degradation and emulsifying solubilization of rhamnolipids surfactant directly accelerates the degradation of petroleum in marine sediment,which will provide a novel method and theoretical guidance for in-situ degradation and efficient removal of crude petroleum on ocean floor.展开更多
Polycrystalline SnSe thin film materials have gained increasing attention as a promising solution for fabricating microscale,flexible,self-powered electronic components in the field of thermoelectric(TE)materials and ...Polycrystalline SnSe thin film materials have gained increasing attention as a promising solution for fabricating microscale,flexible,self-powered electronic components in the field of thermoelectric(TE)materials and devices.However,it is still a great challenge to simultaneously achieve preferred crystal orientation and optimize carrier concentration for SnSe thin films,which are two crucial factors affecting the TE performance,due to the high volatility of Se.Herein,a simple and scalable method using the magnetron co-sputtering technique with SnSe2 and SnSe targets is proposed for preparing highly textured polycrystalline SnSe thin films with appropriate carrier concentration.It was found that during the high-temperature deposition process,SnSe2 transforms into SnSe,improving their anisotropy of electronic bands around the valley extrema,inducing localized strain field and stacking faults,and the incorporation of Se facilitates an increase in carrier concentration.The co-sputtered SnSe thin films show a 45%higher power factor of 2.77µW cm-1K-2 compared to that constructed by mono-sputtered SnSe films with the SnSe target alone.Additionally,localized strain field and stacking faults also serve as centers for phonon scattering,thereby reducing lattice thermal conductivity.Consequently,the estimated zT value of 0.65 at 650 K of the polycrystalline SnSe film reaches a relatively high level.展开更多
To enhance the electrochemical performance of the reversible solid oxide cell(RSOC),a facile way through adopting A-site deficient Pr0.94PrBaCo1.5Fe0.5O5+δ(PBCF94)as an air electrode for RSOC is reported....To enhance the electrochemical performance of the reversible solid oxide cell(RSOC),a facile way through adopting A-site deficient Pr0.94PrBaCo1.5Fe0.5O5+δ(PBCF94)as an air electrode for RSOC is reported.The designed A-site Pr-deficient air electrode is expected to provide abundant oxygen vacancies,macroscopic nanoparticle generation,excellent redox properties and oxygen mobility,which ultimately contribute to the enhanced electrocatalytic activity.The results confirm that the RSOC with an A-site deficient air electrode exhibits considerable peak power density up to 1.53 W·cm-2,and the desirable electrolysis current density reaches 2.29 A·cm-2at 1.5 V and 800℃.Correspondingly,the RSOC exhibits remarkable long-term reversible stability of 200 h.Thus,the A-site deficient Pr0.94PrBaCo1.5Fe0.5O5+δair electrode could be the potential one for RSOC application.展开更多
Water plays a critical role on the performance, stability and lifetime of proton exchange membrane fuel cells(PEMFCs). The addition of poly tetrafluoroethylene(PTFE) to the gas diffusion layer, especially, the cat...Water plays a critical role on the performance, stability and lifetime of proton exchange membrane fuel cells(PEMFCs). The addition of poly tetrafluoroethylene(PTFE) to the gas diffusion layer, especially, the cathode side, would optimize the transportation of water, electron and gas and thus improve the performance of the fuel cell. But until now, the studies about directly applying the PTFE to the catalyst layer are rarely reported. In this paper, the membrane electrode is fabricated by using directly coating catalyst to the membrane method(CCM) and applying PTFE directly to the cathode electrode catalyst layer. The performance of the single cell is determined by polarization curves and durability tests. Electrochemical impedance spectroscopy(EIS) and scanning electron microscopy(SEM) techniques are used to characterize the electrochemical properties of PEMFC. Also the performance of a 10-cells stack is detected. Combining the performance and the physical-chemistry characterization of PEMFC shows that addition of appropriate content of PTFE to the electrode enhances the performance of the fuel cell, which may be due to the improved water management. Addition of appropriate content of PTFE enhances the interaction between the membrane and the catalyst layer, and bigger pores and highly textured structure form in the MEA, which favors the oxygen mass transfer and protons transfer in the fuel cell. While superfluous addition of PTFE covers the surface of catalysts and hindered the contact of catalyst with Nation, which leads to the reduction of electrochemical active area and the decay of the fuel cell performance. The proposed research would optimize the water management of the fuel cell and thus improve the performance of the fuel cell.展开更多
In the context of intelligent manufacturing,the modern hot strip mill process(HSMP)shows characteristics such as diversification of products,multi-specification batch production,and demand-oriented customization.These...In the context of intelligent manufacturing,the modern hot strip mill process(HSMP)shows characteristics such as diversification of products,multi-specification batch production,and demand-oriented customization.These characteristics pose significant challenges to ensuring process stability and consistency of product performance.Therefore,exploring the potential relationship between product performance and the production process,and developing a comprehensive performance evaluation method adapted to modern HSMP have become an urgent issue.A comprehensive performance evaluation method for HSMP by integrating multi-task learning and stacked performance-related autoencoder is proposed to solve the problems such as incomplete performance indicators(PIs)data,insufficient real-time acquisition requirements,and coupling of multiple PIs.First,according to the existing Chinese standards,a comprehensive performance evaluation grade strategy for strip steel is designed.The random forest model is established to predict and complete the parts of PIs data that could not be obtained in real-time.Second,a stacked performance-related autoencoder(SPAE)model is proposed to extract the deep features closely related to the product performance.Then,considering the correlation between PIs,the multi-task learning framework is introduced to output the subitem ratings and comprehensive product performance rating results of the strip steel online in real-time,where each task represents a subitem of comprehensive performance.Finally,the effectiveness of the method is verified on a real HSMP dataset,and the results show that the accuracy of the proposed method is as high as 94.8%,which is superior to the other comparative methods.展开更多
Hydrogen fuel cell ships are one of the key solutions to achieving zero carbon emissions in shipping.Multi-fuel cell stacks(MFCS)systems are frequently employed to fulfill the power requirements of high-load power equ...Hydrogen fuel cell ships are one of the key solutions to achieving zero carbon emissions in shipping.Multi-fuel cell stacks(MFCS)systems are frequently employed to fulfill the power requirements of high-load power equipment on ships.Compared to single-stack system,MFCS may be difficult to apply traditional energy management strategies(EMS)due to their complex structure.In this paper,a two-layer power allocation strategy for MFCS of a hydrogen fuel cell ship is proposed to reduce the complexity of the allocation task by splitting it into each layer of the EMS.The first layer of the EMSis centered on the Nonlinear Model Predictive Control(NMPC).The Northern Goshawk Optimization(NGO)algorithm is used to solve the nonlinear optimization problem in NMPC,and the local fine search is performed using sequential quadratic programming(SQP).Based on the power allocation results of the first layer,the second layer is centered on a fuzzy rule-based adaptive power allocation strategy(AP-Fuzzy).The membership function bounds of the fuzzy controller are related to the aging level of the MFCS.The Particle Swarm Optimization(PSO)algorithm is used to optimize the parameters of the residual membership function to improve the performance of the proposed strategy.The effectiveness of the proposed EMS is verified by comparing it with the traditional EMS.The experimental results show that the EMS proposed in this paper can ensure reasonable hydrogen consumption,slow down the FC aging and equalize its performance,effectively extend the system life,and ensure that the ship has good endurance after completing the mission.展开更多
Performance degradation shortens the life of solid oxide fuel cells in practical applications.Revealing the degradation mechanism is crucial for the continuous improvement of cell durability.In this work,the effects o...Performance degradation shortens the life of solid oxide fuel cells in practical applications.Revealing the degradation mechanism is crucial for the continuous improvement of cell durability.In this work,the effects of cell operating conditions on the terminal voltage and anode microstructure of a Ni-yttria-stabilized zirconia anode-supported single cell were investigated.The microstructure of the anode active area near the electrolyte was characterized by laser optical microscopy and focused ion beam-scanning electron microscopy.Ni depletion at the anode/electrolyte interface region was observed after 100 h discharge tests.In addition,the long-term stability of the single cell was evaluated at 700℃for 3000 h.After an initial decline,the anode-supported single cell exhibits good durability with a voltage decay rate of 0.72%/kh and an electrode polarization resistance decay rate of 0.17%/kh.The main performance loss of the cell originates from the initial degradation.展开更多
To investigate the effects of dietary supplementation with hydrolyzed wheat gluten (HWG) on growth performance, cell immunity and serum biochemical indices of weaned piglets, 160 crossed (Large White×andrace)...To investigate the effects of dietary supplementation with hydrolyzed wheat gluten (HWG) on growth performance, cell immunity and serum biochemical indices of weaned piglets, 160 crossed (Large White×andrace) and weaned piglets were randomly divided into 4 treatments with 4 replicates of 10 piglets each. The piglets in each treatment were fed an experimental diet containing either 0 g kg-1 HWG (control group), 30 g kg-1 HWG (3% HWG group), 50 g kg-1 HWG (5% HWG group), or 2.5 g kg-1 glycyl-L-glutamine (0.25% Gly-Gln group). The results showed that the diarrhea rates in 3% HWG and 5% HWG groups were significantly lower than in control group from d 1 to 14 (P〈0.05), while the average daily gain (ADG) in each of two groups was increased (P〉0.05). When compared with control group, dietary supplementation with 3% HWG increased the ratio of CD4+:CD8+ and the ratio of serum albumin and globulin concentrations (A:G) on d 14 and 28, as well as the proliferation of T- and B-lymphocytes (P〉0.05) on d 28. In addition, on d 14 and 28, the A:G ratio in 5% HWG group was significantly higher than in control group (P〈0.05), while the ratio of CD4+:CD8+ increased slightly (P〉0.05). Interestingly, 0.25% Gly-Gln group had higher proportion of CD3+ (P〉0.05) and CD4+ (P〈0.05) on d 14 than control group, but growth performances of 0.25% Gly-Gln group were negatively affected at all experiment stages. These results suggested that HWG might improve the growth performance of piglets by strengthening cell immunity and decreasing the occurrence of diarrhea during the prophase after weaning.展开更多
A solid state H2S/air electrochemical cell having the configuration of H2S, (MoS2+NiS+Ag)/YSZ/Pt, air has been examined with different H2S flow rates and concentrations at atmospheric pressure and 750-850 ℃. Performa...A solid state H2S/air electrochemical cell having the configuration of H2S, (MoS2+NiS+Ag)/YSZ/Pt, air has been examined with different H2S flow rates and concentrations at atmospheric pressure and 750-850 ℃. Performance of the fuel cell was dependent on anode compartment H2S flow rate and concentration. The cell open-circuit voltage increased with increasing H2S flow rate. It was found that increasing both H2S flow rate and H2S concentration improved current-voltage and power density performance. This is resulted from improved gas diffusion in anode and increased concentration of anodic electroactive species. Operation at elevated H2S concentration improved the cell performance at a given gas flow rate. However, as low as 5% H2S in gas mixture can also be utilized as fuel feed to cells. Highest current and power densities, 17500mA·cm-2 and 200mW·cm-2, are obtained with pure H2S flow rate of 50ml·min-1 and air flow rate of 100ml·min-1 at 850℃.展开更多
As the demand for green energy with high efficiency and low carbon dioxide(CO2)emissions has increased,solid oxide fuel cells(SOFCs)have been intensively developed in recent years.Integrated gasification fuel cells(IG...As the demand for green energy with high efficiency and low carbon dioxide(CO2)emissions has increased,solid oxide fuel cells(SOFCs)have been intensively developed in recent years.Integrated gasification fuel cells(IGFCs)in particular show potential for large-scale power generation to further increase system efficiency.Thus,for commercial application of IGFCs,it is important to design reliable multi-stacks for large systems that show long-term stability and practical fuel gas for application to industrial equipment.In this work,a test rig(of a 5 kW SOFC system,with syngas from industrial gasifiers as fuel)was fabricated and subjected to long-term tests under high fuel utilization to investigate its performance.The maximum steady output power of the system was 5700 W using hydrogen and 5660 W using syngas and the maximum steady electrical efficiency was 61.24%while the fuel utilization efficiency was 89.25%.The test lasted for more than 500 h as the fuel utilization efficiency was larger than 83%.The performances of each stack tower were almost identical at both the initial stage and after long-term operation.After 500 h operation,the performances of the stack towers decreased only slightly under lower current and showed almost no change under high current.These results demonstrate the reliability of the multi-stack design and the prospect of this SOFC power-generation system for further enlarging its application in a MWth demonstration.展开更多
To improve the low-temperature performances of Li-ion cells, three types of linear carboxylic ester-based electrolyte, such as EC/EMC/EA(1:1:2, mass ratio), EC/EMC/EP(1:1:2, mass ratio) and EC/EMC/EB(1:1:2,...To improve the low-temperature performances of Li-ion cells, three types of linear carboxylic ester-based electrolyte, such as EC/EMC/EA(1:1:2, mass ratio), EC/EMC/EP(1:1:2, mass ratio) and EC/EMC/EB(1:1:2, mass ratio), were prepared to substitute for industrial electrolyte(EC/EMC/DMC). Then, 18650-type Li Mn2O4-graphite cells(nominal capacity of 1150 mA ·h) were assembled and studied. Results show that the cells containing three types of electrolyte are able to undertake 5C discharging current with above 93% capacity retention at-20 °C. Electrochemical impedance spectra show that the discharge capacity fading of Li-ion cells at low temperature is mainly ascribed to the charge transfer resistance increasing with temperature decreasing. In comparison, the cells containing electrolyte of 1.0 mol/L LiPF6 in EC/EMC/EA(1:1:2, mass ratio) have the highest capacity retention of 90% at-40 °C and 44.41% at-60 °C, due to its lowest charge-transfer resistance.展开更多
Small-molecule organic solar cells(SMOSCs)have attracted considerable attention owing to the merits of small molecules,such as easy purification,well-defined chemical structure.To achieve high-performance SMOSCs,the r...Small-molecule organic solar cells(SMOSCs)have attracted considerable attention owing to the merits of small molecules,such as easy purification,well-defined chemical structure.To achieve high-performance SMOSCs,the rational design of well-matched donor and acceptor materials is extremely essential.In this work,two new small molecular donor materials with subtle change in the conjugated side thiophene rings are synthesized.The subtle change significantly affects the photovoltaic performance of molecular donors.Compared with chlorinated molecule MDJ-Cl,the non-chlorinated analogue MDJ exhibits decreased miscibility with the non-fullerene acceptor Y6,can more efficiently quench the excitons of Y6.As a result,a improved PCE of 11.16% is obtained for MDJ:Y6 based SMOSCs.The results highlight the importance of fine-tuning the molecular structure to achieve high-performance SMOSCs.展开更多
In this paper, we investigated the effect of rapid thermal annealing (RTA) on solar cell performance. An opto-electric conversion efficiency of 11.75% (Voc = 0.64 V, Jsc = 25.88 mA/cm2, FF=72.08%) was obtained und...In this paper, we investigated the effect of rapid thermal annealing (RTA) on solar cell performance. An opto-electric conversion efficiency of 11.75% (Voc = 0.64 V, Jsc = 25.88 mA/cm2, FF=72.08%) was obtained under AM 1.5G when the cell was annealed at 300℃ for 30 s. The annealed solar cell showed an average absolute efficiency 1.5% higher than that of the as-deposited one. For the microstructure analysis and the physical phase confirmation, X-ray diffraction (XRD), Raman spectra, front surface reflection (FSR), internal quantum efficiency (IQE), and X-ray photoelectron spectroscopy (XPS) were respectively applied to distinguish the causes inducing the efficiency variation. All experimental results implied that the RTA eliminated recombination centers at the p-n junction, reduced the surface optical losses, enhanced the blue response of the CdS buffer layer, and improved the ohmic contact between Mo and Cu(In, Ga)Se2 (CIGS) layers. This leaded to the improved performance of CIGS solar cell.展开更多
In this work, the perovskite solar cells(PSCs) were fabricated with the bandgap-tunable(FA)_x(MA)1-xPbI_3 absorber layers through a facile two-stage deposition route.The doping was realized by adding the formamidin...In this work, the perovskite solar cells(PSCs) were fabricated with the bandgap-tunable(FA)_x(MA)1-xPbI_3 absorber layers through a facile two-stage deposition route.The doping was realized by adding the formamidinium iodide(FAI) into a precursor MAI solution.Both the surface morphology and electrochemical impedance spectra(EIS) were conducted to evaluate the absorber layers or solar cells.After the optimization, the best PSC performance of 14.73% was achieved at a nominal FAI content of 12.5 at.%.The performance enhancement was attributed to both the enhancement of visible light harvesting and carrier transport capability.Besides, the stability of a PSC device based on the single MAPbI_3 absorber layer was also investigated, and a power conversion efficiency(PCE) of 11.27 % remained even after laying in vacuum for 10 days.展开更多
基金the Jiangxi Provincial Natural Science Foundation(No.20242BAB20162,20242BAB23034,20224BAB214015)the National Natural Science Foundation of China(No.52264042)for the financial support for this work。
摘要Copper indium gallium selenide(CIGS)thin-film solar cells have attracted substantial attention due to their high efficiency and scalable fabrication processes.However,achieving optimized and reproducible performance remains challenging because of the complex process flows and interdependent,multidimensional parameters inherent to these heterojunction devices.Elucidating the process-structureperformance relationship between manufacturing parameters and device output is therefore essential.In this study,we demonstrate an effective approach for optimizing CIGS performance using interpretable machine learning(ML)and construct a whole-process database comprising 756 experimental samples.Through multi-model comparison,the Categorical Boosting(CatBoost)algorithm is identified as the optimal model across four performance metrics,yielding a coefficient of determination(R2)of 0.755 for power conversion efficiency(PCE)with a root mean square error(RMSE)of 2.3%.By integrating Shapley additive explanations(SHAP)with parallel-coordinates visualization,this study systematically quantifies the dominant contributions of the anti-reflection coating(ARC)and fabrication methodologies,while revealing critical compositional trade-offs.Moreover,a Golden Process Corridor for high-efficiency devices is established,indicating that improved performance is associated with ARC deposition,the three-stage co-evaporation method,an absorber thickness of 2.0–3.0μm,[Cu]/([Ga]+[In])ratio of 0.89–0.95,and[Ga]/([Ga]+[In])ratio of 0.29–0.42.ML demonstrates strong predictive capability for device performance,offering a transferable roadmap to accelerate process optimization for singlejunction and tandem CIGS devices while reducing research and development costs.
基金financially supported by the National Natural Science Foundation of China(No.22309067)the Open Project Program of the State Key Laboratory of Materials-Oriented Chemical Engineering,China(No.KL21-05)the Marine Equipment and Technology Institute,Jiangsu University of Science and Technology,China(No.XTCX202404)。
摘要This study focused on improving the cathode performance of Ba0.6Sr0.4Co0.85Nb0.15O3-δ(BSCN)-based perovskite materials through molybdenum(Mo)doping.Pure BSCN and Mo-modified-BSCN—Ea0.6Sr0.4Co0.85Nb0.1Mo0.05O3-δ(B S CNM0.05),Ba0.6Sr0.4Co0.85Nb0.05Mo0.1O3-δ(BSCNM0.1),and Ba0.6Sr0.4Co0.85Mo0.15O3-δ(BSCM)—with Mo doping contents of 5mol%,10mol%,and15mol%,respectively,were successfully prepared using the sol-gel method.The effects of Mo doping on the crystal structure,conductivity,thermal expansion coefficient,oxygen reduction reaction(ORR)activity,and electrochemical performance were systematically evaluated using X-ray diffraction analysis,thermally induced characterization,electrochemical impedance spectroscopy,and single-cell performance tests.The results revealed that Mo doping could improve the conductivity of the materials,suppress their thermal expansion effects,and significantly improve the electrochemical performance.Surface chemical state analysis using X-ray photoelectron spectroscopy revealed that 5mol%Mo doping could facilitate a high adsorbed oxygen concentration leading to enhanced ORR activity in the materials.Density functional theory calculations confirmed that Mo doping promoted the ORR activity in the materials.At an operating temperature of 600℃,the BSCNM0.05cathode material exhibited significantly enhanced electrochemical impedance characteristics,with a reduced area specific resistance of 0.048Ω·cm~2,which was lower than that of the undoped BSCN matrix material by 32.39%.At the same operating temperature,an anode-supported single cell using a BSCNM0.05cathode achieved a peak power density of 1477 mW·cm-2,which was 30.71%,56.30%,and 171.50%higher than those of BSCN,BSCNM0.1,and B SCM,respectively.The improved ORR activity and electrochemical performance of BSCNM0.05indicate that it can be used as a cathode material in low-temperature solid oxide fuel cells.
基金co-supported by the National Key R&D Program of China(No.2022YFB4002203)Baima Lake Laboratory Joint Funds of the Zhejiang Provincial Natural Science Foundation of China(No.LBMHY24B060003)Ningbo Key R&D Project(No.2023Z155).
摘要This work investigates the transient performance and stability of CO2/H2O co-electrolysis in an air-free environment using a flat-tube solid oxide electrolysis cell(SOEC)stack.The results showed that the transient behavior of the stack with and without blowing gas into the air electrode is almost the same.With a current density of 0.67 A·cm-2@750℃,the stack operated for over 200 h under co-electrolysis conditions without air blowing,and the voltage drop rate of the stack was approximately 0.203%/100 hours.Microstructure analysis revealed a significant loss of nickel particles and an apparent for-mation of an insulating phase strontium chromate(SrCrO4)on the surface of the current collection layer of the air electrode,which are identified as key factors contributing to the performance degradation of the stack.This study provides a reference for development of efficient fuel preparation technology based on SOEC stack in airless environments.
基金support provided by the Geran Translasi UKM(TR-UKM),grant number UKM-TR2024-09funded by Universiti Kebangsaan Malaysia(UKM).
摘要Organic solar cells(OSCs)have progressed rapidly in recent years,driven by advances in donor polymers,non-fullerene acceptors,and increasingly complex binary and multicomponent blend architectures.Despite these achievements,device performance remains governed by strongly coupled molecular,morphological,and processing variables,making materials optimization inherently multidimensional and difficult to navigate using conventional trial-and-error approaches.The growing availability of experimental data and computational descriptors has therefore encouraged the integration of machine learning(ML)techniques into OSC research as a complementary strategy for accelerating materials discovery and device optimization.Among the available ML strategies,ensemble learning has proven particularly well suited to OSC systems,where datasets are often limited,heterogeneous,and derived from diverse experimental conditions.This review provides a focused and materials-oriented examination of ensemble learning applications in OSC research,spanning donor and acceptor screening,blend optimization,and stability-related prediction tasks.Bagging-based,boosting-based,and stacking-based approaches are discussed in relation to their roles in predicting key photovoltaic metrics,including power conversion efficiency(PCE),open-circuit voltage(Voc),short-circuit current density(Jsc),and related device parameters.The interplay between data sources,descriptor selection,and model performance is critically analyzed,with particular attention to model interpretability through feature-importance evaluation and other explainable learning techniques.Finally,current challenges are discussed,and ensemble learning is positioned as a practical and interpretable tool for accelerating rational OSC materials design.
基金supported by National Natural Science Foundation of China(Nos.42374076,42174128 and 42004115)Natural Science Foundation for Excellent Young Scholars of Hunan Province,China(No.2022JJ 20057)+1 种基金Central South University Innovation-Driven Research Programme(No.2023CXQD063)the Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology(No.2022B1212010002).
摘要Seismic source locations can characterize the spatial and temporal distributions of seismic sources,and can provide important basic data for earthquake disaster monitoring,fault activity characterization,and fracture growth interpretation.Waveform stacking-based location methods invert the source locations by focusing the source energy with multichannel waveforms,and these methods exhibit a high level of automation and noise-resistance.Taking the cross-correlation stacking(CCS)method as an example,this work attempts to study the influential factors of waveform stacking-based methods,and introduces a comprehensive performance evaluation scheme based on multiple parameters and indicators.The waveform data are from field monitoring of induced microseismicity in the Changning region(southern Sichuan Basin of China).Synthetic and field data tests reveal the impacts of three categories of factors on waveform stacking-based location:velocity model,monitoring array,and waveform complexity.The location performance is evaluated and further improved in terms of the source imaging resolution and location error.Denser array monitoring contributes to better constraining source depth and location reliability,but the combined impact of multiple factors,such as velocity model uncertainty and multiple seismic phases,increases the complexity of locating field microseismic events.Finally,the aspects of location uncertainty,phase detection,and artificial intelligencebased location are discussed.
基金financially supported by the National Natural Science Foundation of China(No.22075262)。
摘要Crude petroleum pollution causes some serious ecological disasters in the ocean.Marine sediment microbial fuel cells(MSMFCs)have been utilized as a novel method for in-situ degradation and a long-term power source.Herein,the effect of different concentrations of rhamnolipids biosurfactant on the electrochemical performance of MSMFCs anode and the higher efficiency of oil degradation are creatively investigated.The results indicate that the anode in sediment containing rhamnolipids effectively enriches the indigenous electrogenic Pseudophaeobacter and Pseudomonas,which significantly enhances the electrochemical performance of the MSMFCs.Under rhamnolipids at the concentration of 200 mg kg-1in sediment,the anode specific capacitance(401.45 Fm-2),exchange current density(4.87×10-2mAm-2),and cell maximum power density(140.24 mWm-2)increase by 2.50,38.65,and 2.11 times,respectively,in comparison with its natural sediment.And the oil degradation rate(40.06%)was higher than the blank(17.55%).It demonstrates that the synergistic effect between electrochemical catalytic degradation and emulsifying solubilization of rhamnolipids surfactant directly accelerates the degradation of petroleum in marine sediment,which will provide a novel method and theoretical guidance for in-situ degradation and efficient removal of crude petroleum on ocean floor.
基金supported by the National Natural Science Foundation of China(Grant Nos.52073290 and 51927803)Science Fund for Distinguished Young Scholars of Liaoning Province(Grant No.2023JH6/100500004)+1 种基金Shenyang science and technology plan project(Grant No.23-407-3-23)the National Natural Science Foundation of China(Grant No.52201121)。
摘要Polycrystalline SnSe thin film materials have gained increasing attention as a promising solution for fabricating microscale,flexible,self-powered electronic components in the field of thermoelectric(TE)materials and devices.However,it is still a great challenge to simultaneously achieve preferred crystal orientation and optimize carrier concentration for SnSe thin films,which are two crucial factors affecting the TE performance,due to the high volatility of Se.Herein,a simple and scalable method using the magnetron co-sputtering technique with SnSe2 and SnSe targets is proposed for preparing highly textured polycrystalline SnSe thin films with appropriate carrier concentration.It was found that during the high-temperature deposition process,SnSe2 transforms into SnSe,improving their anisotropy of electronic bands around the valley extrema,inducing localized strain field and stacking faults,and the incorporation of Se facilitates an increase in carrier concentration.The co-sputtered SnSe thin films show a 45%higher power factor of 2.77µW cm-1K-2 compared to that constructed by mono-sputtered SnSe films with the SnSe target alone.Additionally,localized strain field and stacking faults also serve as centers for phonon scattering,thereby reducing lattice thermal conductivity.Consequently,the estimated zT value of 0.65 at 650 K of the polycrystalline SnSe film reaches a relatively high level.
基金supported by the National Key R&D Program of China(No.2022YFB4002202)the National Natural Science Foundation of China(Nos.52172199 and 52302334)+5 种基金the Young Elite Scientists Sponsorship Program by CAST(No.2022QNRC001)Hubei Province(No.2023BAB115)Jiangsu Province(Nos.BZ2022027 and BE2023092)Changzhou City(No.CZ20230010)supported by the State Key Laboratory of Materials Processing and Die&Mould Technology,Huazhong University of Science and Technology(No.P2023-025)Material Science and Engineering Discipline Guidance Fund of China University of Mining and Technology(No.CUMTMS202203).
摘要To enhance the electrochemical performance of the reversible solid oxide cell(RSOC),a facile way through adopting A-site deficient Pr0.94PrBaCo1.5Fe0.5O5+δ(PBCF94)as an air electrode for RSOC is reported.The designed A-site Pr-deficient air electrode is expected to provide abundant oxygen vacancies,macroscopic nanoparticle generation,excellent redox properties and oxygen mobility,which ultimately contribute to the enhanced electrocatalytic activity.The results confirm that the RSOC with an A-site deficient air electrode exhibits considerable peak power density up to 1.53 W·cm-2,and the desirable electrolysis current density reaches 2.29 A·cm-2at 1.5 V and 800℃.Correspondingly,the RSOC exhibits remarkable long-term reversible stability of 200 h.Thus,the A-site deficient Pr0.94PrBaCo1.5Fe0.5O5+δair electrode could be the potential one for RSOC application.
基金supported by National Natural Science Foundation of China(Grant No. 21276199)Doctoral Program of Ministry of Education of China(Grant No. 20070247055)+2 种基金Program for Young Excellent Talents in Tongji University of China(Grant No. 2006KJ022)Shanghai Municipal Leading Academic Discipline Program of China(Grant No. B303)111 Project of China(Grant No. B08019)
摘要Water plays a critical role on the performance, stability and lifetime of proton exchange membrane fuel cells(PEMFCs). The addition of poly tetrafluoroethylene(PTFE) to the gas diffusion layer, especially, the cathode side, would optimize the transportation of water, electron and gas and thus improve the performance of the fuel cell. But until now, the studies about directly applying the PTFE to the catalyst layer are rarely reported. In this paper, the membrane electrode is fabricated by using directly coating catalyst to the membrane method(CCM) and applying PTFE directly to the cathode electrode catalyst layer. The performance of the single cell is determined by polarization curves and durability tests. Electrochemical impedance spectroscopy(EIS) and scanning electron microscopy(SEM) techniques are used to characterize the electrochemical properties of PEMFC. Also the performance of a 10-cells stack is detected. Combining the performance and the physical-chemistry characterization of PEMFC shows that addition of appropriate content of PTFE to the electrode enhances the performance of the fuel cell, which may be due to the improved water management. Addition of appropriate content of PTFE enhances the interaction between the membrane and the catalyst layer, and bigger pores and highly textured structure form in the MEA, which favors the oxygen mass transfer and protons transfer in the fuel cell. While superfluous addition of PTFE covers the surface of catalysts and hindered the contact of catalyst with Nation, which leads to the reduction of electrochemical active area and the decay of the fuel cell performance. The proposed research would optimize the water management of the fuel cell and thus improve the performance of the fuel cell.
基金supported by the National Natural Science Foundation of China(NSFC)under Grants(Nos.U21A20483,62373040 and 62273031).
摘要In the context of intelligent manufacturing,the modern hot strip mill process(HSMP)shows characteristics such as diversification of products,multi-specification batch production,and demand-oriented customization.These characteristics pose significant challenges to ensuring process stability and consistency of product performance.Therefore,exploring the potential relationship between product performance and the production process,and developing a comprehensive performance evaluation method adapted to modern HSMP have become an urgent issue.A comprehensive performance evaluation method for HSMP by integrating multi-task learning and stacked performance-related autoencoder is proposed to solve the problems such as incomplete performance indicators(PIs)data,insufficient real-time acquisition requirements,and coupling of multiple PIs.First,according to the existing Chinese standards,a comprehensive performance evaluation grade strategy for strip steel is designed.The random forest model is established to predict and complete the parts of PIs data that could not be obtained in real-time.Second,a stacked performance-related autoencoder(SPAE)model is proposed to extract the deep features closely related to the product performance.Then,considering the correlation between PIs,the multi-task learning framework is introduced to output the subitem ratings and comprehensive product performance rating results of the strip steel online in real-time,where each task represents a subitem of comprehensive performance.Finally,the effectiveness of the method is verified on a real HSMP dataset,and the results show that the accuracy of the proposed method is as high as 94.8%,which is superior to the other comparative methods.
基金supported by the National Key R&D Program of China(2022YFB4301403).
摘要Hydrogen fuel cell ships are one of the key solutions to achieving zero carbon emissions in shipping.Multi-fuel cell stacks(MFCS)systems are frequently employed to fulfill the power requirements of high-load power equipment on ships.Compared to single-stack system,MFCS may be difficult to apply traditional energy management strategies(EMS)due to their complex structure.In this paper,a two-layer power allocation strategy for MFCS of a hydrogen fuel cell ship is proposed to reduce the complexity of the allocation task by splitting it into each layer of the EMS.The first layer of the EMSis centered on the Nonlinear Model Predictive Control(NMPC).The Northern Goshawk Optimization(NGO)algorithm is used to solve the nonlinear optimization problem in NMPC,and the local fine search is performed using sequential quadratic programming(SQP).Based on the power allocation results of the first layer,the second layer is centered on a fuzzy rule-based adaptive power allocation strategy(AP-Fuzzy).The membership function bounds of the fuzzy controller are related to the aging level of the MFCS.The Particle Swarm Optimization(PSO)algorithm is used to optimize the parameters of the residual membership function to improve the performance of the proposed strategy.The effectiveness of the proposed EMS is verified by comparing it with the traditional EMS.The experimental results show that the EMS proposed in this paper can ensure reasonable hydrogen consumption,slow down the FC aging and equalize its performance,effectively extend the system life,and ensure that the ship has good endurance after completing the mission.
基金supported by the National Key R&D Program of China(No.2018YFB1502202)the Fundamental Research Funds for the Central Universities(No.FRF-GF-20-09B).
摘要Performance degradation shortens the life of solid oxide fuel cells in practical applications.Revealing the degradation mechanism is crucial for the continuous improvement of cell durability.In this work,the effects of cell operating conditions on the terminal voltage and anode microstructure of a Ni-yttria-stabilized zirconia anode-supported single cell were investigated.The microstructure of the anode active area near the electrolyte was characterized by laser optical microscopy and focused ion beam-scanning electron microscopy.Ni depletion at the anode/electrolyte interface region was observed after 100 h discharge tests.In addition,the long-term stability of the single cell was evaluated at 700℃for 3000 h.After an initial decline,the anode-supported single cell exhibits good durability with a voltage decay rate of 0.72%/kh and an electrode polarization resistance decay rate of 0.17%/kh.The main performance loss of the cell originates from the initial degradation.
基金supported by the Major Special Project of Guangdong Province, China (2009A080303009)the Special Fund for Public Welfare Industry of China (Agriculture, 201003011)+2 种基金the National 948 Project of China (2011-G35)the National Major Science Research Program of China (2009CB941601)the Joint Funds of the National Natural Science Foundation of China (U0731004)
摘要To investigate the effects of dietary supplementation with hydrolyzed wheat gluten (HWG) on growth performance, cell immunity and serum biochemical indices of weaned piglets, 160 crossed (Large White×andrace) and weaned piglets were randomly divided into 4 treatments with 4 replicates of 10 piglets each. The piglets in each treatment were fed an experimental diet containing either 0 g kg-1 HWG (control group), 30 g kg-1 HWG (3% HWG group), 50 g kg-1 HWG (5% HWG group), or 2.5 g kg-1 glycyl-L-glutamine (0.25% Gly-Gln group). The results showed that the diarrhea rates in 3% HWG and 5% HWG groups were significantly lower than in control group from d 1 to 14 (P〈0.05), while the average daily gain (ADG) in each of two groups was increased (P〉0.05). When compared with control group, dietary supplementation with 3% HWG increased the ratio of CD4+:CD8+ and the ratio of serum albumin and globulin concentrations (A:G) on d 14 and 28, as well as the proliferation of T- and B-lymphocytes (P〉0.05) on d 28. In addition, on d 14 and 28, the A:G ratio in 5% HWG group was significantly higher than in control group (P〈0.05), while the ratio of CD4+:CD8+ increased slightly (P〉0.05). Interestingly, 0.25% Gly-Gln group had higher proportion of CD3+ (P〉0.05) and CD4+ (P〈0.05) on d 14 than control group, but growth performances of 0.25% Gly-Gln group were negatively affected at all experiment stages. These results suggested that HWG might improve the growth performance of piglets by strengthening cell immunity and decreasing the occurrence of diarrhea during the prophase after weaning.
基金Supported by the Natural Science Foundation of Guangdong Province (No. 031424).
摘要A solid state H2S/air electrochemical cell having the configuration of H2S, (MoS2+NiS+Ag)/YSZ/Pt, air has been examined with different H2S flow rates and concentrations at atmospheric pressure and 750-850 ℃. Performance of the fuel cell was dependent on anode compartment H2S flow rate and concentration. The cell open-circuit voltage increased with increasing H2S flow rate. It was found that increasing both H2S flow rate and H2S concentration improved current-voltage and power density performance. This is resulted from improved gas diffusion in anode and increased concentration of anodic electroactive species. Operation at elevated H2S concentration improved the cell performance at a given gas flow rate. However, as low as 5% H2S in gas mixture can also be utilized as fuel feed to cells. Highest current and power densities, 17500mA·cm-2 and 200mW·cm-2, are obtained with pure H2S flow rate of 50ml·min-1 and air flow rate of 100ml·min-1 at 850℃.
基金This work was supported by the National Key R&D Program of China(2017YFB0601900).
摘要As the demand for green energy with high efficiency and low carbon dioxide(CO2)emissions has increased,solid oxide fuel cells(SOFCs)have been intensively developed in recent years.Integrated gasification fuel cells(IGFCs)in particular show potential for large-scale power generation to further increase system efficiency.Thus,for commercial application of IGFCs,it is important to design reliable multi-stacks for large systems that show long-term stability and practical fuel gas for application to industrial equipment.In this work,a test rig(of a 5 kW SOFC system,with syngas from industrial gasifiers as fuel)was fabricated and subjected to long-term tests under high fuel utilization to investigate its performance.The maximum steady output power of the system was 5700 W using hydrogen and 5660 W using syngas and the maximum steady electrical efficiency was 61.24%while the fuel utilization efficiency was 89.25%.The test lasted for more than 500 h as the fuel utilization efficiency was larger than 83%.The performances of each stack tower were almost identical at both the initial stage and after long-term operation.After 500 h operation,the performances of the stack towers decreased only slightly under lower current and showed almost no change under high current.These results demonstrate the reliability of the multi-stack design and the prospect of this SOFC power-generation system for further enlarging its application in a MWth demonstration.
基金Project(2007BAE12B01)supported by the National Key Technology Research and Development Program of ChinaProject(20803095)supported by the National Natural Science Foundation of China
摘要To improve the low-temperature performances of Li-ion cells, three types of linear carboxylic ester-based electrolyte, such as EC/EMC/EA(1:1:2, mass ratio), EC/EMC/EP(1:1:2, mass ratio) and EC/EMC/EB(1:1:2, mass ratio), were prepared to substitute for industrial electrolyte(EC/EMC/DMC). Then, 18650-type Li Mn2O4-graphite cells(nominal capacity of 1150 mA ·h) were assembled and studied. Results show that the cells containing three types of electrolyte are able to undertake 5C discharging current with above 93% capacity retention at-20 °C. Electrochemical impedance spectra show that the discharge capacity fading of Li-ion cells at low temperature is mainly ascribed to the charge transfer resistance increasing with temperature decreasing. In comparison, the cells containing electrolyte of 1.0 mol/L LiPF6 in EC/EMC/EA(1:1:2, mass ratio) have the highest capacity retention of 90% at-40 °C and 44.41% at-60 °C, due to its lowest charge-transfer resistance.
基金supported by the National Natural Science Foundation of China(NSFC,Nos.51973169,51703172)the Open Project Program of Wuhan National Laboratory for Optoelectronics(No.2020WNLOKF015)the Science Foundation of Wuhan Institute of Technology(No.K202025).
摘要Small-molecule organic solar cells(SMOSCs)have attracted considerable attention owing to the merits of small molecules,such as easy purification,well-defined chemical structure.To achieve high-performance SMOSCs,the rational design of well-matched donor and acceptor materials is extremely essential.In this work,two new small molecular donor materials with subtle change in the conjugated side thiophene rings are synthesized.The subtle change significantly affects the photovoltaic performance of molecular donors.Compared with chlorinated molecule MDJ-Cl,the non-chlorinated analogue MDJ exhibits decreased miscibility with the non-fullerene acceptor Y6,can more efficiently quench the excitons of Y6.As a result,a improved PCE of 11.16% is obtained for MDJ:Y6 based SMOSCs.The results highlight the importance of fine-tuning the molecular structure to achieve high-performance SMOSCs.
基金Project supported by the National Natural Science Foundation of China (Grant No. 60876045)the Shanghai Leading Basic Research Project, China (Grant No. 09JC1405900)+1 种基金the Shanghai Leading Academic Discipline Project, China (Grant No. S30105)the R & D Foundation of SHU-SOENs PV Joint Laboratory, China (Grant No. SS-E0700601)
摘要In this paper, we investigated the effect of rapid thermal annealing (RTA) on solar cell performance. An opto-electric conversion efficiency of 11.75% (Voc = 0.64 V, Jsc = 25.88 mA/cm2, FF=72.08%) was obtained under AM 1.5G when the cell was annealed at 300℃ for 30 s. The annealed solar cell showed an average absolute efficiency 1.5% higher than that of the as-deposited one. For the microstructure analysis and the physical phase confirmation, X-ray diffraction (XRD), Raman spectra, front surface reflection (FSR), internal quantum efficiency (IQE), and X-ray photoelectron spectroscopy (XPS) were respectively applied to distinguish the causes inducing the efficiency variation. All experimental results implied that the RTA eliminated recombination centers at the p-n junction, reduced the surface optical losses, enhanced the blue response of the CdS buffer layer, and improved the ohmic contact between Mo and Cu(In, Ga)Se2 (CIGS) layers. This leaded to the improved performance of CIGS solar cell.
基金supported by the Science and Technology Projects of Xuzhou City(No.KC14SM088)the Natural Science Fund for Colleges and Universities in Jiangsu Province(No.15KJB430031)
摘要In this work, the perovskite solar cells(PSCs) were fabricated with the bandgap-tunable(FA)_x(MA)1-xPbI_3 absorber layers through a facile two-stage deposition route.The doping was realized by adding the formamidinium iodide(FAI) into a precursor MAI solution.Both the surface morphology and electrochemical impedance spectra(EIS) were conducted to evaluate the absorber layers or solar cells.After the optimization, the best PSC performance of 14.73% was achieved at a nominal FAI content of 12.5 at.%.The performance enhancement was attributed to both the enhancement of visible light harvesting and carrier transport capability.Besides, the stability of a PSC device based on the single MAPbI_3 absorber layer was also investigated, and a power conversion efficiency(PCE) of 11.27 % remained even after laying in vacuum for 10 days.