BetaCitation Atlas

RESEARCH ARTICLE · Joule · 2018

Machine Learning for Perovskites' Reap-Rest-Recovery Cycle

John M. Howard, Elizabeth M. Tennyson, Bernardo R. A. Neves, Marina S. Leite

Read original paper ↗

See where this research leads.

85 direct citing records in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · Saved source query complete
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
85 direct citing records saved

Machine Learning for Perovskites' Reap-Rest-Recovery CycleOriginalCesium-Incorporated Triple Cation Perovskites Deliver Fully Reversible and Stable Nanoscale Voltage Response31Application of Machine Learning in Perovskite Solar Cell Crystal Size Distribution Analysis19Structure–Property-Performance Relationship of Ultrathin Pd–Au Alloy Catalyst Layers for Low-Temperature Ethanol Oxidation in Alkaline Media40Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis333Wide-bandgap, low-bandgap, and tandem perovskite solar cells138Heterogeneity at multiple length scales in halide perovskite semiconductors274Data-Driven Systematic Search of Promising Photocatalysts for Water Splitting under Visible Light51Data-Driven Safety Envelope of Lithium-Ion Batteries for Electric Vehicles220The Effects of Incident Photon Energy on the Time-Dependent Voltage Response of Lead Halide Perovskites16Imaging Metal Halide Perovskites Material and Properties at the Nanoscale38Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures1803Machine-Learning-Accelerated Perovskite Crystallization144Discovery of Novel Two-Dimensional Photovoltaic Materials Accelerated by Machine Learning51Machine Learning for Predicting the Band Gaps of ABX 3 Perovskites from Elemental Properties182Interface Engineering Driven Stabilization of Halide Perovskites against Moisture, Heat, and Light for Optoelectronic Applications115Two-dimensional hybrid organic–inorganic perovskites as emergent ferroelectric materials48How machine learning can help select capping layers to suppress perovskite degradation188Machine learning for halide perovskite materials130Quantitative predictions of photo-emission dynamics in metal halide perovskites via machine learning3Emergent Opportunities with Metallic Alloys: From Material Design to Optical Devices29Critical review of machine learning applications in perovskite solar research139Organic–inorganic hybrid and inorganic halide perovskites: structural and chemical engineering, interfaces and optoelectronic properties49Passivation and process engineering approaches of halide perovskite films for high efficiency and stability perovskite solar cells327Towards the digitalisation of porous energy materials: evolution of digital approaches for microstructural design62Machine learning for advanced energy materials208Fast Optical Reflectance Measurements during Spin Coating and Annealing of Organic–Inorganic Perovskite Precursor Solutions2Assessment of uncertainties and variations in PV modules degradation rates and lifetime predictions using physical models99Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental‐Dependent Impedance Spectroscopy44Integrated Tapping Mode Kelvin Probe Force Microscopy with Photoinduced Force Microscopy for Correlative Chemical and Surface Potential Mapping25Is machine learning redefining the perovskite solar cells?59Water‐Induced and Wavelength‐Dependent Light Absorption and Emission Dynamics in Triple‐Cation Halide Perovskites2Machine Learning Roadmap for Perovskite Photovoltaics85All Perovskite Tandem Solar Cells5Multimodal microscopy characterization of halide perovskite semiconductors: Revealing a new world (dis)order30An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles365Performance and Stability of Halide Perovskite Solar Cells in Bahir Dar Climatic Conditions2Pooling resources1Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning30Data‐Driven Materials Innovation and Applications187Review on Perovskite-Type Compound Using Machine Learning5Deep Learning for Materials Recognition from FTIR Images0Insights into Cation Ordering of Double Perovskite Oxides from Machine Learning and Causal Relations36Image-based machine learning for materials science54Topological feature engineering for machine learning based halide perovskite materials design71Optical Simulations in Perovskite Devices: A Critical Analysis12Halide perovskite photovoltaics3Machine learning for materials classifications from images4Geometric and topological AI for molecular sciences0Lead-free perovskite-inspired semiconductors for indoor light-harvesting – the present and the future53Machine learning in energy chemistry: introduction, challenges and perspectives31Perovskite-quantum dot hybrid solar cells: a multi-win strategy for high performance and stability17Accelerating defect analysis of solar cells via machine learning of the modulated transient photovoltage12Machine Learning Enables Prediction of Halide Perovskites’ Optical Behavior with >90% Accuracy44DeepDeg: Forecasting and explaining degradation in novel photovoltaics4Mechanical energy metamaterials in interstellar travel74A new 1-D polymeric chains of (C2H5N4)[CdCl3(H2O)] perovskite: elaboration, structure, surface interaction analysis, vibrational study, and thermal behavior0Emerging opportunities for hybrid perovskite solar cells using machine learning8Recent Progress in Interfacial Dipole Engineering for Perovskite Solar Cells133Synergy of 3D and 2D Perovskites for Durable, Efficient Solar Cells and Beyond249Machine Learning Enhanced High‐Throughput Fabrication and Optimization of Quasi‐2D Ruddlesden–Popper Perovskite Solar Cells43Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques35Multimodal Characterization of Halide Perovskites: From the Macro to the Atomic Scale0Predictive Design of Hybrid Improper Ferroelectric Double Perovskite Oxides5Development and application of Few-shot learning methods in materials science under data scarcity47Development on inverted perovskite solar cells: A review58Identifying Performance Limiting Parameters in Perovskite Solar Cells Using Machine Learning8Heterogeneity of Light-Induced Open-Circuit Voltage Loss in Perovskite/Si Tandem Solar Cells31Geometric data analysis-based machine learning for two-dimensional perovskite design12Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices37The impact of charge carrier dynamics on the outdoor performance of cesium-lead-halide perovskite photovoltaics3Imaging Locally Inhomogeneous Properties of Metal Halide Perovskites13A comprehensive review of machine learning applications in perovskite solar cells: Materials discovery, device performance, process optimization and systems integration41An AI-accelerated pathway for reproducible and stable halide perovskites17Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication36Advancements in perovskites for solar cell commercialization: A review97Pre-Embedded Potassium Acetate-Modified SnO2 Electron Transfer Layer for Efficient and Durable Perovskite Solar Cells6Unlocking a self-driving research workflow for perovskite photovoltaics12Machine Learning‐Driven Perovskite Research from Experimental Exploration to Industrial Development6Autoencoder for Parameter Estimation and Current-Voltage Curve Simulation of Perovskite Solar Cells0Autoencoder for parameter estimation and current-voltage curve simulation of perovskite solar cells1Data‐Driven Design of Scalable Perovskite Film Fabrication via Machine Learning–Guided Processing3Explainable distributional structure of MXene compositions revealed by Shapley analysis0High‐Accuracy Machine Learning Projections of Composition‐Dependent Thermal Stability in Halide Perovskites0From Data to Discovery: Crafting Data‐Driven Frameworks for Advancing OER Electrocatalysts0Towards system-level artificial intelligence in perovskite photovoltaics0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close86 nodes / 278 citation links in this initial view
Browse Matching Papers

Papers that cite this work

85 direct citing records saved. Showing the first 50 here; use Browse Matching Papers in the map for all loaded papers.

  1. Cesium-Incorporated Triple Cation Perovskites Deliver Fully Reversible and Stable Nanoscale Voltage Response

    ACS Nano · 2018

    Elizabeth M. Tennyson, Bart Roose, Joseph Landon Garrett, Chen Gong, Jeremy N. Munday, Antonio Abate, Marina S. Leite

    Read original paper ↗ ·

  2. Application of Machine Learning in Perovskite Solar Cell Crystal Size Distribution Analysis

    MRS Advances · 2019

    Thomas Y. Chen, Yuchen Zhou, Miriam H Rafailovich

    Read original paper ↗ ·

  3. Structure–Property-Performance Relationship of Ultrathin Pd–Au Alloy Catalyst Layers for Low-Temperature Ethanol Oxidation in Alkaline Media

    ACS Applied Materials & Interfaces · 2019

    Joshua Patrick McClure, Jonathan A. Boltersdorf, David R. Baker, Thomas G. Farinha, Nicholas Dzuricky, Cesar E. P. Villegas, Alexandre Reily Rocha, Marina S. Leite

    Read original paper ↗ ·

  4. Accelerated Development of Perovskite-Inspired Materials via High-Throughput Synthesis and Machine-Learning Diagnosis

    Joule · 2019

    Shijing Sun, Noor Titan Putri Hartono, Zekun Ren, Felipe Oviedo, Antonio M. Buscemi, Mariya Layurova, De Xin Chen, Tofunmi Ogunfunmi, Janak Thapa, Savitha Ramasamy, Charles M. Settens, Brian DeCost, Aaron Gilad Kusne, Zhe Liu, Siyu Isaac Parker Tian, Ian Marius Peters, Juan‐Pablo Correa‐Baena, Tonio Buonassisi

    Read original paper ↗ ·

  5. Wide-bandgap, low-bandgap, and tandem perovskite solar cells

    Semiconductor Science and Technology · 2019

    Zhaoning Song, Cong Chen, Chongwen Li, Rasha Abbas Awni, Dewei Zhao, Yanfa Yan

    Read original paper ↗ ·

  6. Heterogeneity at multiple length scales in halide perovskite semiconductors

    Nature Reviews Materials · 2019

    Elizabeth M. Tennyson, Tiarnan A. S. Doherty, Samuel D. Stranks

    Read original paper ↗ ·

  7. Data-Driven Systematic Search of Promising Photocatalysts for Water Splitting under Visible Light

    The Journal of Physical Chemistry Letters · 2019

    Hao Jin, Huijun Zhang, Jianwei Li, Tao Wang, Langhui Wan, Hong Yu Guo, Yadong Wei

    Read original paper ↗ ·

  8. Data-Driven Safety Envelope of Lithium-Ion Batteries for Electric Vehicles

    Joule · 2019

    Wei Li, Juner Zhu, Yong Xia, Maysam B. Gorji, Tomasz Wierzbicki

    Read original paper ↗ ·

  9. The Effects of Incident Photon Energy on the Time-Dependent Voltage Response of Lead Halide Perovskites

    Chemistry of Materials · 2019

    Elizabeth M. Tennyson, John M. Howard, Bart Roose, Joseph Landon Garrett, Jeremy N. Munday, Antonio Abate, Marina S. Leite

    Read original paper ↗ ·

  10. Imaging Metal Halide Perovskites Material and Properties at the Nanoscale

    Advanced Energy Materials · 2019

    John M. Howard, Richa Lahoti, Marina S. Leite

    Read original paper ↗ ·

  11. Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures

    Nature Energy · 2020

    Mark Khenkin, Eugene A. Katz, Antonio Abate, Giorgio Bardizza, Joseph J. Berry, Christoph Josef Brabec, Francesca Brunetti, Vladimir Bulović, Quinn C. Burlingame, Aldo Di Carlo, Rongrong Cheacharoen, Yi‐Bing Cheng, Alexander Colsmann, Stéphane Cros, Konrad Domanski, Michał Dusza, Christopher J. Fell, Stephen R. Forrest, Yulia Galagan, Diego Di Girolamo, Michaël Grätzel, Anders Hagfeldt, Elizabeth von Hauff, Harald Hoppe, Jeff Kettle, Hans Köbler, Marina S. Leite, Shengzhong Frank Liu, Yueh‐Lin Loo, Joseph M. Luther, Chang‐Qi Ma, Morten Madsen, Matthieu Manceau, Muriel Matheron, Michael David McGehee, Rico Meitzner, Mohammad Khaja Nazeeruddin, Ana F. Nogueira, Çağla Odabaşı, Anna Osherov, Nam‐Gyu Park, Matthew O. Reese, Francesca De Rossi, Michael Saliba, Ulrich S. Schubert, Henry James Snaith, Samuel D. Stranks, Wolfgang Tress, Pavel Anatol'evich Troshin, Vida Turkovic, Sjoerd C. Veenstra, Iris Visoly‐Fisher, Aron Walsh, Trystan Watson, Haibing Xie, Ramazan Yıldırım, Shaik Mohammed Zakeeruddin, Kai Zhu, Mónica Lira‐Cantú

    Read original paper ↗ ·

  12. Machine-Learning-Accelerated Perovskite Crystallization

    Matter · 2020

    Jeffrey Kirman, Andrew K. Johnston, D.A. Kuntz, Mikhail Askerka, Yuan Jun Gao, Petar Todorović́, Dongxin Ma, Gilbert G. Privé, Edward Hartley Sargent

    Read original paper ↗ ·

  13. Discovery of Novel Two-Dimensional Photovoltaic Materials Accelerated by Machine Learning

    The Journal of Physical Chemistry Letters · 2020

    Hao Jin, Huijun Zhang, Jianwei Li, Tao Wang, Langhui Wan, Hong Yu Guo, Yadong Wei

    Read original paper ↗ ·

  14. Machine Learning for Predicting the Band Gaps of ABX 3 Perovskites from Elemental Properties

    The Journal of Physical Chemistry C · 2020

    Vladislav Gladkikh, Dong Yeon Kim, Amir Hajibabaei, Atanu Jana, Chang Woo Myung, Kwang S. Kim

    Read original paper ↗ ·

  15. Interface Engineering Driven Stabilization of Halide Perovskites against Moisture, Heat, and Light for Optoelectronic Applications

    Advanced Energy Materials · 2020

    Aditya Narayan Singh, Sandeep Kajal, Junu Kim, Junu Kim, Atanu Jana, Jin Young Kim, Jin Young Kim, Kwang S. Kim

    Read original paper ↗ ·

  16. Two-dimensional hybrid organic–inorganic perovskites as emergent ferroelectric materials

    Journal of Applied Physics · 2020

    Yu Hou, Congcong Wu, Dong Fang Yang, Tao Ye, Vasant Honavar, Adri C. T. van Duin, Kai Wang, Shashank Priya

    Read original paper ↗ ·

  17. How machine learning can help select capping layers to suppress perovskite degradation

    Nature Communications · 2020

    Noor Titan Putri Hartono, Janak Thapa, Armi Tiihonen, Felipe Oviedo, Clio Batali, Jason J. Yoo, Zhe Liu, Ruipeng Li, David Fuertes Marrón, Moungi G. Bawendi, Tonio Buonassisi, Shijing Sun

    Read original paper ↗ ·

  18. Machine learning for halide perovskite materials

    Nano Energy · 2020

    Lei Zhang, Mu He, Shaofeng Shao

    Read original paper ↗ ·

  19. Quantitative predictions of photo-emission dynamics in metal halide perovskites via machine learning

    arXiv (Cornell University) · 2020

    John M. Howard, Qiong Wang, Lee, Erica, Richa Lahoti, Tao Gong, Meghna Srivastava, Antonio Abate, Marina S. Leite

    Read original paper ↗ ·

  20. Emergent Opportunities with Metallic Alloys: From Material Design to Optical Devices

    Advanced Optical Materials · 2020

    Tao Gong, Peifen Lyu, Kevin J. Palm, Sarvenaz Memarzadeh, Jeremy N. Munday, Marina S. Leite

    Read original paper ↗ ·

  21. Critical review of machine learning applications in perovskite solar research

    Nano Energy · 2020

    Beyza Yılmaz, Ramazan Yıldırım

    Read original paper ↗ ·

  22. Organic–inorganic hybrid and inorganic halide perovskites: structural and chemical engineering, interfaces and optoelectronic properties

    Journal of Physics D Applied Physics · 2020

    Shrreya Krishnamurthy, Padmini Pandey, Jagjit Kaur, Sudip Chakraborty, Pabitra K. Nayak, Aditya Sadhanala, Satishchandra Ogale

    Read original paper ↗ ·

  23. Passivation and process engineering approaches of halide perovskite films for high efficiency and stability perovskite solar cells

    Energy & Environmental Science · 2021

    Abd. Rashid bin Mohd Yusoff, Maria Vasilopoulou, Dimitra G. Georgiadou, Leonidas C. Palilis, Antonio Abate, Mohammad Khaja Nazeeruddin

    Read original paper ↗ ·

  24. Towards the digitalisation of porous energy materials: evolution of digital approaches for microstructural design

    Energy & Environmental Science · 2021

    Zhiqiang Niu, Valerie J. Pinfield, Billy Wu, Huizhi Wang, Kui Jiao, Dennis Y.C. Leung, Jin Xuan

    Read original paper ↗ ·

  25. Machine learning for advanced energy materials

    Energy and AI · 2021

    Liu Yun, Oladapo Christopher Esan, Zhefei Pan, Liang An

    Read original paper ↗ ·

  26. Fast Optical Reflectance Measurements during Spin Coating and Annealing of Organic–Inorganic Perovskite Precursor Solutions

    physica status solidi (b) · 2021

    Jörg Rappich, Christian Kaspari, Christian Camus, N. H. Nickel

    Read original paper ↗ ·

  27. Assessment of uncertainties and variations in PV modules degradation rates and lifetime predictions using physical models

    Solar Energy · 2021

    Ismail Kaaya, Julián Ascencio‐Vásquez, Karl‐Anders Weiß, Marko Topič

    Read original paper ↗ ·

  28. Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental‐Dependent Impedance Spectroscopy

    Advanced Science · 2021

    Dohyung Kim, Eric S. Muckley, Nicole Creange, Ting Hei Wan, Myung Hyun Ann, Emanuele Quattrocchi, Rama Krishnan Vasudevan, Jong H. Kim, Francesco Ciucci, Ilia N. Ivanov, Sergei V. Kalinin, Mahshid Ahmadi

    Read original paper ↗ ·

  29. Integrated Tapping Mode Kelvin Probe Force Microscopy with Photoinduced Force Microscopy for Correlative Chemical and Surface Potential Mapping

    Small · 2021

    Devon S. Jakob, Nengxu Li, Huanping Zhou, Xiaoji G. Xu

    Read original paper ↗ ·

  30. Is machine learning redefining the perovskite solar cells?

    Journal of Energy Chemistry · 2021

    Nishi Parikh, Meera R. Karamta, Neha Yadav, Mohammad Mahdi Tavakoli, Daniel Prochowicz, Seçkin Akın, Abul Kalam, Soumitra Satapathi, Pankaj Yadav

    Read original paper ↗ ·

  31. Water‐Induced and Wavelength‐Dependent Light Absorption and Emission Dynamics in Triple‐Cation Halide Perovskites

    Advanced Optical Materials · 2021

    John M. Howard, Kevin J. Palm, Qiong Wang, Erica Lee, Antonio Abate, Jeremy N. Munday, Marina S. Leite

    Read original paper ↗ ·

  32. Machine Learning Roadmap for Perovskite Photovoltaics

    The Journal of Physical Chemistry Letters · 2021

    Meghna Srivastava, John M. Howard, Tao Gong, Mariama Rebello Sousa Dias, Marina S. Leite

    Read original paper ↗ ·

  33. All Perovskite Tandem Solar Cells

    Venue not supplied by source · 2021

    Zhaoning Song, Yanfa Yan

    Read original paper ↗ ·

  34. Multimodal microscopy characterization of halide perovskite semiconductors: Revealing a new world (dis)order

    Matter · 2021

    Samuel D. Stranks

    Read original paper ↗ ·

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

    Nature Energy · 2021

    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

    Read original paper ↗ ·

  36. Performance and Stability of Halide Perovskite Solar Cells in Bahir Dar Climatic Conditions

    Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 2022

    Getnet M Meheretu, Getasew Admasu Wubetu, Bart Roose, Amare Kassew, Hailu Shimels Gebremedhen, Seifu A. Tilahun, Elizabeth M. Tennyson, Samuel D. Stranks

    Read original paper ↗ ·

  37. Pooling resources

    Nature Energy · 2022

    Read original paper ↗ ·

  38. Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning

    The Journal of Physical Chemistry Letters · 2022

    John M. Howard, Qiong Wang, Meghna Srivastava, Tao Gong, Erica Lee, Antonio Abate, Marina S. Leite

    Read original paper ↗ ·

  39. Data‐Driven Materials Innovation and Applications

    Advanced Materials · 2022

    Zhuo Wang, Zhehao Sun, Hang Yin, Xinghui Liu, Jinlan Wang, Haitao Zhao, Cheng Heng Pang, Tao Wu, Shuzhou Li, Zongyou Yin, Xue‐Feng Yu

    Read original paper ↗ ·

  40. Review on Perovskite-Type Compound Using Machine Learning

    Science of Advanced Materials · 2022

    Taohong Zhang, Xueqiang Guo, Han Zheng, Yun Liu, Aziguli Wulamu, Han Chen, Xuxu Guo, Zhizhuo Zhang

    Read original paper ↗ ·

  41. Deep Learning for Materials Recognition from FTIR Images

    Journal of Research in Science and Engineering · 2022

    Read original paper ↗ ·

  42. Insights into Cation Ordering of Double Perovskite Oxides from Machine Learning and Causal Relations

    Chemistry of Materials · 2022

    Ayana Ghosh, Palanichamy Gayathri, Dennis Trujillo, Monirul Shaikh, Saurabh Ghosh

    Read original paper ↗ ·

  43. Image-based machine learning for materials science

    Journal of Applied Physics · 2022

    Lei Zhang, Shaofeng Shao

    Read original paper ↗ ·

  44. Topological feature engineering for machine learning based halide perovskite materials design

    npj Computational Materials · 2022

    D. Vijay Anand, Qiang Xu, JunJie Wee, Kelin Xia, Tze Chien Sum

    Read original paper ↗ ·

  45. Optical Simulations in Perovskite Devices: A Critical Analysis

    ACS Photonics · 2022

    Shaoni Kar, Ken Kaushal, Natalia Yantara, Subodh G. Mhaisalkar

    Read original paper ↗ ·

  46. Halide perovskite photovoltaics

    Contemporary Physics · 2022

    Samuel D. Stranks

    Read original paper ↗ ·

  47. Machine learning for materials classifications from images

    Journal of Physics Conference Series · 2022

    Lei Zhang, Zhenyu Li

    Read original paper ↗ ·

  48. Geometric and topological AI for molecular sciences

    Venue not supplied by source · 2023

    JunJie Wee

    Read original paper ↗ ·

  49. Lead-free perovskite-inspired semiconductors for indoor light-harvesting – the present and the future

    Chemical Communications · 2023

    Gopal Krishnamurthy Grandhi, Lethy Krishnan Jagadamma, Vipinraj Sugathan, Basheer Al‐Anesi, Debjit Manna, Paola Vivo

    Read original paper ↗ ·

  50. Machine learning in energy chemistry: introduction, challenges and perspectives

    Energy Advances · 2023

    Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju

    Read original paper ↗ ·
More citing papers →
Citation Atlas · A map of research, not a ranking.