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RESEARCH PAPER · Nature Energy · 2021

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

T. Jesper Jacobsson, Adam Hultqvist, Alberto García‐Fernández, Aman Anand, Amran Al‐Ashouri, Anders Hagfeldt, Andrea Crovetto, Antonio Abate, Antonio Gaetano Ricciardulli, Anuja Vijayan, Ashish Kulkarni, Assaf Y. Anderson, Barbara Primera Darwich, Bowen Yang, Brendan L. Coles, Carlo A. R. Perini, Carolin Rehermann, Daniel Ramírez, David Fairen‐Jiménez, Diego Di Girolamo, Donglin Jia, Elena Avila, Emilio Jose Juarez-Perez, Fanny Baumann, Florian Mathies, G. S. Anaya González, Gerrit K. Boschloo, Giuseppe Nasti, Gopinath Paramasivam, Guillermo Martínez‐Denegri, Hampus Näsström, Hannes Michaels, Hans Köbler, Hua Wu, Iacopo Benesperi, M. Ibrahim Dar, İlknur Bayrak Pehlivan, Isaac E. Gould, Jacob N. Vagott, Janardan Dagar, Jeff Kettle, Jie Yang, Jinzhao Li, Joel A. Smith, Jorge Pascual, José J. Jerónimo-Rendon, Juan Felipe Montoya, Juan‐Pablo Correa‐Baena, Junming Qiu, Junxin Wang, Kári Sveinbjörnsson, Katrin Hirselandt, Krishanu Dey, Kyle Frohna, Lena Mathies, Luigi Angelo Castriotta, Mahmoud H. Aldamasy, Manuel F. Vasquez-Montoya, Marco A. Ruiz‐Preciado, Marion A. Flatken, Mark Khenkin, Max Grischek, Mayank Kedia, Michael Saliba, Miguel Anaya, M. Veldhoen, Neha Arora, Oleksandra Shargaieva, Oliver Maus, Onkar S. Game, Ori Yudilevich, Paul Faßl, Qisen Zhou, Rafael Betancur, Rahim Munir, Rahul Patidar, Samuel D. Stranks, Shahidul Alam, Shaoni Kar, Thomas Unold, Tobias Abzieher, Tomas Edvinsson, Tudur Wyn David, Ulrich W. Paetzold, Waqas Zia, Weifei Fu, Weiwei Zuo, Vincent Schröder, Wolfgang Tress, Xiaoliang Zhang, Yu‐Hsien Chiang, Zafar Iqbal, Zhiqiang Xie, Eva Unger

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An open-access database and analysis tool for perovskite solar cells based on the FAIR data principlesOriginalA dataquake for solar cells2Accelerating research on novel photovoltaic materials10An efficient Buchwald–Hartwig amination protocol enables the synthesis of new branched and polymeric hole transport materials for perovskite solar cells7Efficient Indoor Light Harvesting With Map(I 0.8Br 0.2) 3 Solar Modules and Na-Ion Battery0High-performance perovskite solar cells resulting from large perovskite grain size enabled by the urea additive17Perovskite device efficiency is a poor predictor for the number of citations a paper will get1Perovskite solar cells from the viewpoint of innovation and sustainability21Role of solution concentration in formation kinetics of bromide perovskite thin films during spin-coating monitored by optical in situ metrology11Two-dimensional BiTeI as a novel perovskite additive for printable perovskite solar cells15Machine Learning and Optoelectronic Materials Discovery: A Growing Synergy26Black‐Yellow Bandgap Trade‐Off During Thermal Stability Tests in Low‐Temperature Eu‐Doped CsPbI319The Perovskite Database Project: A Perspective on Collective Data Sharing53Current state and call for action to accomplish findability, accessibility, interoperability, and reusability of low carbon energy data13Interpretable Machine Learning for Investigating Photoelectrochemical Properties of Cosensitizer-Based CH3NH3PbI3/TiO2 Films in Water11Sustainable, Efficient, and Scalable Preparation of Pure and Performing Spiro-OMeTAD for Perovskite Solar Cells37The Challenge of Making the Same Device Twice in Perovskite Photovoltaics55Boosted performances of mesoscopic perovskite solar cells using LaFeO3 inorganic perovskite nanomaterial22Photoinduced Cross Linkable Polymerization of Flexible Perovskite Solar Cells and Modules by Incorporating Benzyl Acrylate89Nanophotonics for Perovskite Solar Cells34Tunable Photovoltaics: Adapting Solar Cell Technologies to Versatile Applications99Method for fabricating flexible solar cell perovskite semiconductors via a sheet of paper applicator soaked in anti-solvent3Organic Hole‐Transport Layers for Efficient, Stable, and Scalable Inverted Perovskite Solar Cells363Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness9Predicting the formation of fractionally doped perovskite oxides by a function-confined machine learning method39Finding the FAIRness in perovskite photovoltaics research5Procedure Based on External Quantum Efficiency for Reliable Characterization of Perovskite Solar Cells43Molecular engineering of several butterfly-shaped hole transport materials containing dibenzo[b,d]thiophene core for perovskite photovoltaics18Efficiency Potential and Voltage Loss of Inorganic CsPbI2Br Perovskite Solar Cells25Image-based machine learning for materials science54How to Make 20% Efficient Perovskite Solar Cells in Ambient Air and Encapsulate Them for 500 h of Operational Stability26Encapsulation against Extrinsic Degradation Factors and Stability Testing of Perovskite Solar Cells3Optical Property and Stability Study of CH3(CH2)3NH3)2(CH3NH3)3Pb4I13 Ruddlesden Popper 2D Perovskites for Photoabsorbers and Solar Cells and Comparison with 3D MAPbI314Recent Progress of Polarization‐Sensitive Perovskite Photodetectors134Optical Simulations in Perovskite Devices: A Critical Analysis12Narrowing the tolerance factor limits for hybrid organic-inorganic dicyanamide-perovskites19Defect Pair Formation in FAPbI3 Perovskite Solar Cell Absorbers18Integrating Tetrahydrofurfuryl Methacrylate onto Perovskite Surface for High Stability Perovskite Solar Cells1Accelerating the adoption of research data management strategies16Efficient indoor light harvesting with CH3NH3Pb(I0.8Br0.2)3 solar modules and sodium-ion battery13How does changing substituents affect the hole transport characteristic of butterfly-shaped materials based on fluorene–dithiophene core for perovskite photovoltaics7Bifacial all-perovskite tandem solar cells112Thermal evaporation and hybrid deposition of perovskite solar cells and mini-modules191Understanding and Minimizing V OC Losses in All‐Perovskite Tandem Photovoltaics86Big data driven perovskite solar cell stability analysis101Automation intelligence photovoltaic system for power and voltage issues based on Black Hole Optimization algorithm with FOPID50Paths towards high perovskite solar cells stability using machine learning techniques82Clear‐Box Machine Learning for Virtual Screening of 2D Nanozymes to Target Tumor Hydrogen Peroxide38A Comprehensive Review of the Application of Machine Learning in Fabrication and Implementation of Photovoltaic Systems80An open-source environmental chamber for materials-stability testing using an optical proxy13Large area inkjet-printed metal halide perovskite LEDs enabled by gas flow assisted drying and crystallization19Large Language Models as Master Key: Unlocking the Secrets of Materials Science20Leveraging machine learning to consolidate the diversity in experimental results of perovskite solar cells20Phase segregation affects electron–phonon coupling in perovskite solar cell materials2The laboratory of Babel: highlighting community needs for integrated materials data management20The materials experiment knowledge graph25The Resource Demand of Terawatt-Scale Perovskite Tandem Photovoltaics5Understanding the dopant of hole-transport polymers for efficient inverted perovskite solar cells with high electroluminescence34Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data27Parameterization of the apparent chemical inductance of metal halide perovskite solar cells exhibiting constant-phase-element behavior27Maximizing Electric Power through Spectral‐Splitting Photovoltaic‐Thermoelectric Hybrid System Integrated with Radiative Cooling34A universal multi-additive strategy to enhance efficiency and stability in inverted perovskite solar cells37Machine Learning for Perovskite Solar Cells and Component Materials: Key Technologies and Prospects170Ink Design Enabling Slot‐Die Coated Perovskite Solar Cells with >22% Power Conversion Efficiency, Micro‐Modules, and 1 Year of Outdoor Performance Evaluation140High-throughput calculation and machine learning of two-dimensional halide perovskite materials: Formation energy and band gap35Charge transport modelling of perovskite solar cells accounting for non-Boltzmann statistics in organic and highly-doped transport layers10TEXplorer.org: Thermoelectric material properties data platform for experimental and first-principles calculation results16Architecture of a Data Portal for Publishing and Delivering Open Data for Atmospheric Measurement4The challenge of studying perovskite solar cells’ stability with machine learning28Maximizing uninterrupted solar electricity in spectral-splitting photovoltaic-thermal systems integrated with CO2 battery8Green Anisole Solvent-Based Synthesis and Deposition of Phthalocyanine Dopant-Free Hole-Transport Materials for Perovskite Solar Cells10Monitoring the stability and degradation mechanisms of perovskite solar cells by in situ and operando characterization48Facile method for synthesis of mixed-cation halide perovskites by mild equilibrium conversion via iodine-mediated transport reaction in inert liquid media6Ruddlesden–Popper Perovskite Alloys: Continuous and Discontinuous Tuning of the Electronic Structure8Photovoltaic Performance of FAPbI 3 Perovskite Is Hampered by Intrinsic Quantum Confinement30Preventing lead leakage in perovskite solar cells with a sustainable titanium dioxide sponge71Chloride‐Based Additive Engineering for Efficient and Stable Wide‐Bandgap Perovskite Solar Cells178Study of 2D/3D perovskites heterostructures for solar cells0Materials cartography: A forward-looking perspective on materials representation and devising better maps13The role of machine learning in perovskite solar cell research42Insights into the photovoltaic properties of indium sulfide as an electron transport material in perovskite solar cells80Aromatic Additives Boost the Terahertz Properties of Mixed Halide Perovskite Single Crystals4Emerging opportunities for hybrid perovskite solar cells using machine learning8Critical analysis of decision variables for high-throughput experimentation (HTE) with perovskite solar cells15Breaking 1.7V open circuit voltage in large area transparent perovskite solar cells using bulk and interfaces passivation.1Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys31Quantum Machine Learning in Materials Prediction: A Case Study on ABO3 Perovskite Structures30Machine Learning Enhanced High‐Throughput Fabrication and Optimization of Quasi‐2D Ruddlesden–Popper Perovskite Solar Cells43Assessing Performance and Limitations of a Device‐Level Machine Learning Approach for Perovskite Solar Cells with an Application to Hole Transport Materials2Auxiliary guidance manufacture and revealing potential mechanism of perovskite solar cell using machine learning18Long-term operating stability in perovskite photovoltaics739Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset113Top-Down or Bottom-up? Growth direction of gas flow-assisted perovskite layers0Accelerating the Discovery of Hybrid Perovskites with Targeted Band Gaps via Interpretable Machine Learning44Comprehensive Machine Learning Pipeline for Prediction of Power Conversion Efficiency in Perovskite Solar Cells6Photo-induced halide redistribution in 2D halide perovskite lateral heterostructures28Efficient modeling of double absorber layered structure in perovskite solar cells using machine learning techniques18A systematic discrepancy between the short circuit current and the integrated quantum efficiency in perovskite solar cells107FAIR Research Data With NOMAD2Are Perovskite Solar Cells an Environmentally Sustainable Emerging Energy Technology? Upscaling from Lab to Fab in Life Cycle Assessment12Metal Halide Perovskite Light-Emitting Transistor with Tunable Emission Based on Electrically Doped Semiconductor Nanocrystal-Based Microcavities1Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives76When JV Curves Conceal Material Improvements: The Relevance of Photoluminescence Measurements in the Optimization of Perovskite Solar Cells14Effect of the Precursor Chemistry on the Crystallization of Triple Cation Mixed Halide Perovskites27Curated materials data of hybrid perovskites: approaches and potential usage3Screening for sustainable and lead-free perovskite halide absorbers – A database collecting insight from electronic-structure calculations7Prompt engineering of GPT-4 for chemical research: what can/cannot be done?31Bandgap Prediction of Hybrid Organic–Inorganic Perovskite Solar Cell Using Machine Learning15Exceptional electron transport characteristics of naphthalene diimide-based materials for perovskite photovoltaic devices2Targeting high performance of perovskite solar cells by combining electronic, manufacturing and environmental features in machine learning techniques21Methylammonium-free wide-bandgap metal halide perovskites for tandem photovoltaics115An efficient Neural Network Approach for Perovskite Materials Band Gap Prediction3NestedAE: interpretable nested autoencoders for multi-scale materials characterization3Halide homogenization for low energy loss in 2-eV-bandgap perovskites and increased efficiency in all-perovskite triple-junction solar cells158Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials8Carbon Nanotubes in Carbon Electrode Based Perovskite Solar Cells0Data-driven design for enhanced efficiency of Sn-based perovskite solar cells using machine learning18Light cycling as a key to understanding the outdoor behaviour of perovskite solar cells87Predicting and analyzing the fill factor of non-fullerene organic solar cells based on material properties and interpretable machine-learning strategies36Influence of the Transparent Conductive Oxide Type on the Performance of Inverted Perovskite Solar Cells15Concluding remarks: challenges and prospects in organic photonics and electronics1Rationalizing Performance Losses of Wide Bandgap Perovskite Solar Cells Evident in Data from the Perovskite Database21First-principles and machine learning investigation on A4BX6 halide perovskites4Perovskite Solar Cell: Chemical Composition and Bandgap Energy via Machine Learning2Label-Free Data Mining of Scientific Literature by Unsupervised Syntactic Distance Analysis13Effectiveness and limitation of the performance prediction of perovskite solar cells by process informatics11https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties7Instabilities and Degradation in Perovskite Materials and Devices9Multi-Modal Transformer Architectures for Correlating Processing Conditions to Functional Performance in Perovskite Solar Cells0Physiochemical machine learning models predict operational lifetimes of CH 3 NH 3 PbI 3 perovskite solar cells25Power generation density boost of bifacial tandem solar cells revealed by high throughput optoelectrical modelling15Selective reactivity-assisted sacrificial additive coating for surface passivation of wide bandgap perovskite solar cells with cesium tetrafluoroborate20Structural divergence of molecular hole selective materials for viable p-i-n perovskite photovoltaics: a comprehensive review17Vapor phase deposition of perovskite photovoltaics: short track to commercialization?1343-Thiophenemalonic Acid Additive Enhanced Performance in Perovskite Solar Cells10Data‐Driven Tunnel Oxide Passivated Contact Solar Cell Performance Analysis Using Machine Learning16Advancing perovskite solar cell commercialization: Bridging materials, vacuum deposition, and AI-assisted automation32Remarkable hole transport properties of Spiro[fluorene-9,9′-xanthene] derivatives containing natural amino acid substituents for perovskite photovoltaics11Automatically Generated Datasets: Present and Potential Self-Cleaning Coating Materials11Machine learning as a characterization method for analysis and design of perovskite solar cells26Black-hole optimisation algorithm with FOPID-based automation intelligence photovoltaic system for voltage and power issues35Discovering novel halide perovskite alloys using multi-fidelity machine learning and genetic algorithm41Machine learning will revolutionize perovskite solar cells14Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics64Modelling iodine diffusion in 2D-Perovskites as a function of the length of the organic spacer molecules2Methods and applications of machine learning in computational design of optoelectronic semiconductors22Understanding Defects in Perovskite Solar Cells through Computation: Current Knowledge and Future Challenge83Creation of a structured solar cell material dataset and performance prediction using large language models28Interpretable machine learning predictions for efficient perovskite solar cell development33Wide‐Gap Perovskites for Indoor Photovoltaics23Evaluating the role of inkjet printing in perovskite solar modules manufacturing using mathematical modeling1

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  45. Automation intelligence photovoltaic system for power and voltage issues based on Black Hole Optimization algorithm with FOPID

    Measurement Sensors · 2022-12-15

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  46. Paths towards high perovskite solar cells stability using machine learning techniques

    Solar Energy · 2022-12-20

    Mohamed Mammeri, Lakhdar Dehimi, Hichem Bencherif, Fortunato Pezzimenti

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  47. Clear‐Box Machine Learning for Virtual Screening of 2D Nanozymes to Target Tumor Hydrogen Peroxide

    Advanced Healthcare Materials · 2022-12-24

    Xuejiao J. Gao, Xuejiao J. Gao, Jun Yan, Jia‐Jia Zheng, Shengliang Zhong, Xingfa Gao, Xingfa Gao

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  48. A Comprehensive Review of the Application of Machine Learning in Fabrication and Implementation of Photovoltaic Systems

    IEEE Access · 2023-01-01

    Srabanti Datta, Anik Baul, Gobinda Chandra Sarker, Pintu Kumar Sadhu, Deidra Ranel Hodges

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  49. An open-source environmental chamber for materials-stability testing using an optical proxy

    Digital Discovery · 2023-01-01

    Rodolfo Keesey, Armi Tiihonen, Alexander E. Siemenn, Thomas William Colburn, Shijing Sun, Noor Titan Putri Hartono, James Serdy, Margaret Zeile, He Keqing, Cole A. Gurtner, Austin C. Flick, Clio Batali, Alex Encinas, Richa R. Naik, Zhe Liu, Felipe Oviedo, Ian Marius Peters, Janak Thapa, Siyu Isaac Parker Tian, Reinhold Horst Dauskardt, Alexander J. Norquist, Tonio Buonassisi

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  50. Large area inkjet-printed metal halide perovskite LEDs enabled by gas flow assisted drying and crystallization

    Nanoscale · 2023-01-01

    Vincent Schröder, Nicolas Fratzscher, Florian Mathies, Edgar R. Nandayapa, Felix Hermerschmidt, Eva Unger, Emil J. W. List

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