The emerging photovoltaic(PV)technologies,such as organic and perovskite PVs,have the characteristics of complex compositions and processing,resulting in a large multidimensional parameter space for the development an...The emerging photovoltaic(PV)technologies,such as organic and perovskite PVs,have the characteristics of complex compositions and processing,resulting in a large multidimensional parameter space for the development and optimization of the technologies.Traditional manual methods are time-consuming and laborintensive in screening and optimizing material properties.Materials genome engineering(MGE)advances an innovative approach that combines efficient experimentation,big database and artificial intelligence(AI)algorithms to accelerate materials research and development.High-throughput(HT)research platforms perform multidimensional experimental tasks rapidly,providing a large amount of reliable and consistent data for the creation of materials databases.Therefore,the development of novel experimental methods combining HT and AI can accelerate materials design and application,which is beneficial for establishing material-processing-property relationships and overcoming bottlenecks in the development of emerging PV technologies.This review introduces the key technologies involved in MGE and overviews the accelerating role of MGE in the field of organic and perovskite PVs.展开更多
A successful transfer of organic photovoltaic technologies from lab to fab has to overcome a range of critical challenges such as developing high-mobility light-harvesting materials,minimizing the upscaling losses,des...A successful transfer of organic photovoltaic technologies from lab to fab has to overcome a range of critical challenges such as developing high-mobility light-harvesting materials,minimizing the upscaling losses,designing advanced solar modules,controlling film quality,decreasing overall cost,and extending long-operation lifetime.To realize large-area devices toward practical applications,much effort has been devoted to understanding the fundamental mechanism of how molecular structures,device architectures,interfacial engineering,and light management and carrier dynamics affect photovoltaic performance.Such studies addressed various fundamental issues of charge carrier behavior in organic heterojunctions primarily in terms of exciton generation dependence upon light incidence,charge transportation dependence on built-in electric field,and charge extraction versus recombination.In consideration of high-throughput roll-to-roll process for large-scale fabrication of organic photovoltaic devices,it is highly appreciable to realize high power conversion efficiencies that are highly tolerable to the film thickness.Herein we summarize the recent progress in developing thick-film organic photovoltaic devices from the perspective of efficiency-loss mechanisms,material design,and device optimization strategies,proposing guidelines for designing high-efficiency thickness-insensitive devices toward mass production.展开更多
In this report,we show that hyperspectral high-resolution photoluminescence mapping is a powerful tool for the selection and optimiz1ation of the laser ablation processes used for the patterning interconnections of su...In this report,we show that hyperspectral high-resolution photoluminescence mapping is a powerful tool for the selection and optimiz1ation of the laser ablation processes used for the patterning interconnections of subcells on Cu(Inx,Ga1-x)Se2(CIGS)modules.In this way,we show that in-depth monitoring of material degradation in the vicinity of the ablation region and the identification of the underlying mechanisms can be accomplished.Specifically,by analyzing the standard P1 patterning line ablated before the CIGS deposition,we reveal an anomalous emission-quenching effect that follows the edge of the molybdenum groove underneath.We further rationalize the origins of this effect by comparing the topography of the P1 edge through a scanning electron microscope(SEM)cross-section,where a reduction of the photoemission cannot be explained by a thickness variation.We also investigate the laser-induced damage on P1 patterning lines performed after the deposition of CIGS.We then document,for the first time,the existence of a short-range damaged area,which is independent of the application of an optical aperture on the laser path.Our findings pave the way for a better understanding of P1-induced power losses and introduce new insights into the improvement of current strategies for industry-relevant module interconnection schemes.展开更多
Organic solar cells(OSCs)show great potential in non-grid energy supply due to its unique properties including light-weight,flexibility,semi-transparency,design flexibility,low cost and so on.Thanks to researchers'...Organic solar cells(OSCs)show great potential in non-grid energy supply due to its unique properties including light-weight,flexibility,semi-transparency,design flexibility,low cost and so on.Thanks to researchers'tremendous efforts in materials development and device engineering,the power con-version efficiency(PCE)for single-junction OSCs(SJ-OSCs)has exceeded 18%[1,2].展开更多
The field of all-polymer solar cells(all-PSCs)has experienced rapid development during the past few years,mainly driven by the development of efficient polymer acceptors.However,the power conversion efficiencies(PCEs)...The field of all-polymer solar cells(all-PSCs)has experienced rapid development during the past few years,mainly driven by the development of efficient polymer acceptors.However,the power conversion efficiencies(PCEs)of the all-PSCs are still limited by insufficient light absorption of the donor/acceptor blend and large energy loss in devices.We herein designed a polymer acceptor PYT1 constructed n-type molecular acceptor Y5-C20 as the key building block and blended it with a polymer donor PM6 to obtain an all-polymer photoactive layer.The optimized PM6:PYT1 all-PSCs achieved a record higher PCE of 13.43%with a very low energy loss of 0.47 eV and a photoresponse of up to 900 nm compared with the Y5-C20 based device with a best PCE of 9.42%.Furthermore,the PCEs of the PM6:PYT1 all-PSCs are relatively insensitive to the 1-chloronaphthalene(CN)additive contents and active layer thickness.Our results also highlight the effect of CN additive on PM6:PYT1 morphology,i.e.,charge generation,and transport find an optimized balance,and radiative and non-radiative loss is simultaneously reduced in the blend.This work promotes the development of high-performance polymer acceptors and heralds a brighter future of all-PSCs for commercial applications.展开更多
Electroluminescent devices based on organic semiconductors have attracted significant attention owing to their promising applications in flat-panel displays.The conventional display pixel consisting of side-by-side ar...Electroluminescent devices based on organic semiconductors have attracted significant attention owing to their promising applications in flat-panel displays.The conventional display pixel consisting of side-by-side arrayed red,green and blue subpixels represents the mature technology but bears an intrinsic deficiency of a low pixel density.Constructing an individual color-tunable pixel that comprises vertically stacked subpixels is considered an advanced technology.Although color-tunable organic light-emitting diodes(OLEDs)have been fabricated using the vacuum deposition of small molecules,the solution processing of conjugated polymers would enable a much simpler and inexpensive manufacturing process.Here we present the all-solution processing of color-tunable OLEDs comprising two vertically stacked polymer emitters.A thin layer of highly conducting and transparent silver nanowires is introduced as the intermediate charge injection contact,which allows the emission spectrum and intensity of the tandem devices to be seamlessly manipulated.To demonstrate a viable application of this technology,a 4-by-4 pixelated matrix color-tunable display was fabricated.展开更多
Adva nces in orga nic photovoltaic tech no logies have been geared toward industrial high-throughput printing manufacturing,which requires in sensitivity of photovoltaic performance reg a rd i ng to the light-harvesti...Adva nces in orga nic photovoltaic tech no logies have been geared toward industrial high-throughput printing manufacturing,which requires in sensitivity of photovoltaic performance reg a rd i ng to the light-harvesting layer thickness.However,the thickness of light-harvesti ng layer for all polymer solar cells(all-PSCs)is often limited to about 100 nm due to the dramatically decreased fill factor upon increasing film thickness,which hampers the light harvesting capability to in crease the power con versio n efficie ncy,and is un favorable for fabricating large-area devices.Here we dem on strate that by tuning the bulk heterojuncti on morphology using a non-halogenated solvent,cyclopentyl methyl ether,in the presence of a gree n solve nt additive of dibenzyl ether,the power con versio n efficie ncy of all-PSCs with photoactive layer thick nesses of over 500 nm reached an impressively high value of 9%.The gen eric applicability of this gree n solvent additive to boost the power conversion efficiency of thick-film devices is also validated in various bulk heterojunction active layer systems,thus representing a promising approach for the fabrication of all-PSCs toward industrial production,as well as further commercialization.展开更多
Process optimization of photovoltaic devices is a time-intensive,trial-and-error endeavor,which lacks full transparency of the underlying physics and relies on user-imposed constraints that may or may not lead to a gl...Process optimization of photovoltaic devices is a time-intensive,trial-and-error endeavor,which lacks full transparency of the underlying physics and relies on user-imposed constraints that may or may not lead to a global optimum.Herein,we demonstrate that embedding physics domain knowledge into a Bayesian network enables an optimization approach for gallium arsenide(GaAs)solar cells that identifies the root cause(s)of underperformance with layer-by-layer resolution and reveals alternative optimal process windows beyond traditional black-box optimization.Our Bayesian network approach links a key GaAs process variable(growth temperature)to material descriptors(bulk and interface properties,e.g.,bulk lifetime,doping,and surface recombination)and device performance parameters(e.g.,cell efficiency).For this purpose,we combine a Bayesian inference framework with a neural network surrogate device-physics model that is 100×faster than numerical solvers.With the trained surrogate model and only a small number of experimental samples,our approach reduces significantly the time-consuming intervention and characterization required by the experimentalist.As a demonstration of our method,in only five metal organic chemical vapor depositions,we identify a superior growth temperature profile for the window,bulk,and back surface field layer of a GaAs solar cell,without any secondary measurements,and demonstrate a 6.5%relative AM1.5G efficiency improvement above traditional grid search methods.展开更多
As one of the promising emerging photovoltaic technologies(PVs),organic solar cells(OSCs)have received extensive attention from both scientific and industry communities.The advantages of OSCs,such as low toxicity,high...As one of the promising emerging photovoltaic technologies(PVs),organic solar cells(OSCs)have received extensive attention from both scientific and industry communities.The advantages of OSCs,such as low toxicity,high power-toweight ratio,and easy manufacturing and upscaling,guarantee their contribution to versatile applications powered by clean and renewable solar energy,for instance.展开更多
基金the financial support from the National Natural Science Foundation of China(52394273 and 52373179).
文摘The emerging photovoltaic(PV)technologies,such as organic and perovskite PVs,have the characteristics of complex compositions and processing,resulting in a large multidimensional parameter space for the development and optimization of the technologies.Traditional manual methods are time-consuming and laborintensive in screening and optimizing material properties.Materials genome engineering(MGE)advances an innovative approach that combines efficient experimentation,big database and artificial intelligence(AI)algorithms to accelerate materials research and development.High-throughput(HT)research platforms perform multidimensional experimental tasks rapidly,providing a large amount of reliable and consistent data for the creation of materials databases.Therefore,the development of novel experimental methods combining HT and AI can accelerate materials design and application,which is beneficial for establishing material-processing-property relationships and overcoming bottlenecks in the development of emerging PV technologies.This review introduces the key technologies involved in MGE and overviews the accelerating role of MGE in the field of organic and perovskite PVs.
基金theNationalKeyResearch and Development ProgramofChina,Grant/Award Number:2019YFA0705901theBasic and AppliedBasicResearch Major Program of Guangdong Province,Grant/Award Number:2019B030302007the Deutsche Forschungsgemeinschaft,Grant/Award Numbers:182849149,SFB 953,INST90/917,INST90/1093-1。
文摘A successful transfer of organic photovoltaic technologies from lab to fab has to overcome a range of critical challenges such as developing high-mobility light-harvesting materials,minimizing the upscaling losses,designing advanced solar modules,controlling film quality,decreasing overall cost,and extending long-operation lifetime.To realize large-area devices toward practical applications,much effort has been devoted to understanding the fundamental mechanism of how molecular structures,device architectures,interfacial engineering,and light management and carrier dynamics affect photovoltaic performance.Such studies addressed various fundamental issues of charge carrier behavior in organic heterojunctions primarily in terms of exciton generation dependence upon light incidence,charge transportation dependence on built-in electric field,and charge extraction versus recombination.In consideration of high-throughput roll-to-roll process for large-scale fabrication of organic photovoltaic devices,it is highly appreciable to realize high power conversion efficiencies that are highly tolerable to the film thickness.Herein we summarize the recent progress in developing thick-film organic photovoltaic devices from the perspective of efficiency-loss mechanisms,material design,and device optimization strategies,proposing guidelines for designing high-efficiency thickness-insensitive devices toward mass production.
基金the DFG research training group GRK 1896 at Erlangen University and from the Joint Project Helmholtz-Institute Erlangen-Nürnberg(HI-ERN)for Renewable Energy Production under Project DBF01253,respectivelyfinancial support through the“Aufbruch Bayern”initiative of the state of Bavaria(EnCN and Solar Factory of the Future)and the“Solar Factory of the Future”with the Energy Campus Nürnberg(EnCN).
文摘In this report,we show that hyperspectral high-resolution photoluminescence mapping is a powerful tool for the selection and optimiz1ation of the laser ablation processes used for the patterning interconnections of subcells on Cu(Inx,Ga1-x)Se2(CIGS)modules.In this way,we show that in-depth monitoring of material degradation in the vicinity of the ablation region and the identification of the underlying mechanisms can be accomplished.Specifically,by analyzing the standard P1 patterning line ablated before the CIGS deposition,we reveal an anomalous emission-quenching effect that follows the edge of the molybdenum groove underneath.We further rationalize the origins of this effect by comparing the topography of the P1 edge through a scanning electron microscope(SEM)cross-section,where a reduction of the photoemission cannot be explained by a thickness variation.We also investigate the laser-induced damage on P1 patterning lines performed after the deposition of CIGS.We then document,for the first time,the existence of a short-range damaged area,which is independent of the application of an optical aperture on the laser path.Our findings pave the way for a better understanding of P1-induced power losses and introduce new insights into the improvement of current strategies for industry-relevant module interconnection schemes.
基金X.Du thanks the Taishan Scholar Foundation of Shandong Province(tsqn202103016)and Qilu Young Scholar Program of Shandong University.L.Ding thanks the National Key Research and Development Program of China(2017YFA0206600)and the National Natural Science Foundation of China(51773045,21772030,51922032 and 21961160720)for financial support.
文摘Organic solar cells(OSCs)show great potential in non-grid energy supply due to its unique properties including light-weight,flexibility,semi-transparency,design flexibility,low cost and so on.Thanks to researchers'tremendous efforts in materials development and device engineering,the power con-version efficiency(PCE)for single-junction OSCs(SJ-OSCs)has exceeded 18%[1,2].
基金supported by the National Natural Science Foundation of China(21702154,51773157)the opening projects of Key Laboratory of Materials Processing and Mold and Beijing National Laboratory for Molecular Sciences(BNLMS201905)。
文摘The field of all-polymer solar cells(all-PSCs)has experienced rapid development during the past few years,mainly driven by the development of efficient polymer acceptors.However,the power conversion efficiencies(PCEs)of the all-PSCs are still limited by insufficient light absorption of the donor/acceptor blend and large energy loss in devices.We herein designed a polymer acceptor PYT1 constructed n-type molecular acceptor Y5-C20 as the key building block and blended it with a polymer donor PM6 to obtain an all-polymer photoactive layer.The optimized PM6:PYT1 all-PSCs achieved a record higher PCE of 13.43%with a very low energy loss of 0.47 eV and a photoresponse of up to 900 nm compared with the Y5-C20 based device with a best PCE of 9.42%.Furthermore,the PCEs of the PM6:PYT1 all-PSCs are relatively insensitive to the 1-chloronaphthalene(CN)additive contents and active layer thickness.Our results also highlight the effect of CN additive on PM6:PYT1 morphology,i.e.,charge generation,and transport find an optimized balance,and radiative and non-radiative loss is simultaneously reduced in the blend.This work promotes the development of high-performance polymer acceptors and heralds a brighter future of all-PSCs for commercial applications.
基金supported by the Cluster of Excellence‘Engineering of Advanced Materials’(EAM)at the University of Erlangen-Nurembergthe support of the EU-project SOLPROCEL(‘Solution processed high performance transparent organic photovoltaic cells’,Grant No.604506)+2 种基金the financial support from the China Scholarship Council(CSC)the financial support from the South China University of Technology and Deutscher Akademischer Austausch Dienst(DAAD)the financial support through the‘Aufbruch Bayern’initiative of the state of Bavaria.
文摘Electroluminescent devices based on organic semiconductors have attracted significant attention owing to their promising applications in flat-panel displays.The conventional display pixel consisting of side-by-side arrayed red,green and blue subpixels represents the mature technology but bears an intrinsic deficiency of a low pixel density.Constructing an individual color-tunable pixel that comprises vertically stacked subpixels is considered an advanced technology.Although color-tunable organic light-emitting diodes(OLEDs)have been fabricated using the vacuum deposition of small molecules,the solution processing of conjugated polymers would enable a much simpler and inexpensive manufacturing process.Here we present the all-solution processing of color-tunable OLEDs comprising two vertically stacked polymer emitters.A thin layer of highly conducting and transparent silver nanowires is introduced as the intermediate charge injection contact,which allows the emission spectrum and intensity of the tandem devices to be seamlessly manipulated.To demonstrate a viable application of this technology,a 4-by-4 pixelated matrix color-tunable display was fabricated.
基金supported by the National Natural Science Foundation of China(Nos.21822505,91633301,51673069,and 21520102006)Program for Science and Technology Development of Dongguan(No.2019622163009)+1 种基金the Dongguan Innovative Research Team Program(No.2018607201002)Portions of this research used the resources of beamline 7.3.3 and 11.0.1.2 at Advanced Light Source,Materials Science Division,The Molecular Foundry,Lawrenee Berkeley National Laboratory,which was supported by the Office of Scienee,Office of Basic Energy Sciences,of the U.S.Department of Energy under Contract No.DE-AC02-05CH11231.
文摘Adva nces in orga nic photovoltaic tech no logies have been geared toward industrial high-throughput printing manufacturing,which requires in sensitivity of photovoltaic performance reg a rd i ng to the light-harvesting layer thickness.However,the thickness of light-harvesti ng layer for all polymer solar cells(all-PSCs)is often limited to about 100 nm due to the dramatically decreased fill factor upon increasing film thickness,which hampers the light harvesting capability to in crease the power con versio n efficie ncy,and is un favorable for fabricating large-area devices.Here we dem on strate that by tuning the bulk heterojuncti on morphology using a non-halogenated solvent,cyclopentyl methyl ether,in the presence of a gree n solve nt additive of dibenzyl ether,the power con versio n efficie ncy of all-PSCs with photoactive layer thick nesses of over 500 nm reached an impressively high value of 9%.The gen eric applicability of this gree n solvent additive to boost the power conversion efficiency of thick-film devices is also validated in various bulk heterojunction active layer systems,thus representing a promising approach for the fabrication of all-PSCs toward industrial production,as well as further commercialization.
基金This research is supported by the National Research Foundation,Prime Minister’s Office,Singapore under its Campus for Research Excellence and Technological Enterprise(CREATE)program and its Energy Innovation Research program EIRP-13(Award No.NRF2015EWT-EIRP003-004)(supporting GaAs device fabrication)by the National Research Foundation(NRF)Singapore through the Singapore Massachusetts Institute of Technology(MIT)Alliance for Research and Technology’s Low Energy Electronic Systems research program(supporting AE and physics-constrained Bayesian inference algorithm development)+1 种基金by the US Department of Energy Photovoltaic Research and Development Program under Award DE-EE0007535(supporting Bayesian optimization algorithm development),and by a TOTAL SA research grant funded through MITei(supporting ML algorithm framing and application)Q.L.acknowledges funding from the Accelerated Materials Development for Manufacturing Program at A*STAR via the AME Programmatic Fund by the Agency for Science,Technology and Research under Grant No.A1898b0043.
文摘Process optimization of photovoltaic devices is a time-intensive,trial-and-error endeavor,which lacks full transparency of the underlying physics and relies on user-imposed constraints that may or may not lead to a global optimum.Herein,we demonstrate that embedding physics domain knowledge into a Bayesian network enables an optimization approach for gallium arsenide(GaAs)solar cells that identifies the root cause(s)of underperformance with layer-by-layer resolution and reveals alternative optimal process windows beyond traditional black-box optimization.Our Bayesian network approach links a key GaAs process variable(growth temperature)to material descriptors(bulk and interface properties,e.g.,bulk lifetime,doping,and surface recombination)and device performance parameters(e.g.,cell efficiency).For this purpose,we combine a Bayesian inference framework with a neural network surrogate device-physics model that is 100×faster than numerical solvers.With the trained surrogate model and only a small number of experimental samples,our approach reduces significantly the time-consuming intervention and characterization required by the experimentalist.As a demonstration of our method,in only five metal organic chemical vapor depositions,we identify a superior growth temperature profile for the window,bulk,and back surface field layer of a GaAs solar cell,without any secondary measurements,and demonstrate a 6.5%relative AM1.5G efficiency improvement above traditional grid search methods.
文摘As one of the promising emerging photovoltaic technologies(PVs),organic solar cells(OSCs)have received extensive attention from both scientific and industry communities.The advantages of OSCs,such as low toxicity,high power-toweight ratio,and easy manufacturing and upscaling,guarantee their contribution to versatile applications powered by clean and renewable solar energy,for instance.
