Papers citing A data fusion approach to optimize compositional stability of halide perovskites
Machine learning for a sustainable energy future
Nature Reviews Materials · 2022-10-18
Zhenpeng Yao, Yanwei Lum, Andrew K. Johnston, L.M. Mejía-Mendoza, Xin Zhou, Yonggang Wen, Alán Aspuru‐Guzik, Edward Hartley Sargent, Zhi Wei Seh
Read original paper ↗ ·Bayesian Optimization of photonic curing process for flexible perovskite photovoltaic devices
Solar Energy Materials and Solar Cells · 2022-10-20
Weijie Xu, Zhe Liu, Robert T. Piper, Julia W. P. Hsu
Read original paper ↗ ·Cage Molecules Stabilize Lead Halide Perovskite Thin Films
Chemistry of Materials · 2022-10-26
Shijing Sun, Ming Liu, Janak Thapa, Noor Titan Putri Hartono, Yicheng Zhao, Donglin He, Sarah Wieghold, Matthew R. Chua, Yue Wu, Vladimir Bulović, Sanliang Ling, Christoph Josef Brabec, Andrew Ian Cooper, Tonio Buonassisi
Read original paper ↗ ·Networks and interfaces as catalysts for polymer materials innovation
Cell Reports Physical Science · 2022-10-27
Michael E. Deagen, Dylan J. Walsh, Debra J. Audus, Kenneth Kroenlein, Juan Pablo, Kaoru Aou, Kyle Chard, Klavs F. Jensen, Bradley D. Olsen
Read original paper ↗ ·Compositional engineering of perovskites with machine learning
Physical Review Materials · 2022-11-07
Jarno Laakso, Milica Todorović, Jingrui Li, Guoxu Zhang, Patrick Rinke
Read original paper ↗ ·Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Progress in Materials Science · 2022-11-11
Yunchao Xie, Kianoosh Sattari, Chi Zhang, Jian Lin
Read original paper ↗ ·The Spring of Processing Chemistry in Perovskite Solar Cells–Bayesian Optimization
The Journal of Physical Chemistry Letters · 2022-11-14
Qizhen Song, Yang Bai, Qi Henry Chen
Read original paper ↗ ·An Integrated Method of Bayesian Optimization and D-Optimal Design for Chemical Experiment Optimization
Processes · 2022-12-28
Xinye Huang, Shuyuan Zhang, Haoran Li, Tong Qiu
Read original paper ↗ ·A scientific machine learning framework to understand flash graphene synthesis
Digital Discovery · 2023-01-01
Kianoosh Sattari, Lucas Eddy, Jacob L. Beckham, Kevin M. Wyss, Richard Byfield, Long Qian, James M. Tour, Jian Lin
Read original paper ↗ ·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
Read original paper ↗ ·Bayesian optimisation for efficient material discovery: a mini review
Nanoscale · 2023-01-01
Yimeng Jin, Priyank V. Kumar
Read original paper ↗ ·Compositional Space Is Not Uniform: Density Gradients in Data-Driven Screening
Journal of Computational and Data-Driven Materials Engineering · 2023-01-01
Oliver Grant, Daniel Brooks, Amelia Carter
Read original paper ↗ ·Does it mix? Insights and attempts to predict the formability of single phase mixed A-cation lead iodide perovskites
Inorganic Chemistry Frontiers · 2023-01-01
Fernando Brondani Minussi, Rogério Marcos Silva, Eudes Borges Araújo
Read original paper ↗ ·Equipping data-driven experiment planning for Self-driving Laboratories with semantic memory: case studies of transfer learning in chemical reaction optimization
Reaction Chemistry & Engineering · 2023-01-01
Riley J. Hickman, Jurğis Ruža, Hermann Tribukait, Loı̈c M. Roch, Alberto García-Durán
Read original paper ↗ ·Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations
Digital Discovery · 2023-01-01
Nickolas Gantzler, Aryan Deshwal, Janardhan Rao Doppa, Cory M. Simon
Read original paper ↗ ·The Curse of Optimality: When Perfect Optimization Undermines Scientific Understanding
Journal of Artificial Intelligence for Materials Science · 2023-01-01
Nour Abdelrahman, Karim Hassan, Ahmed El-Kholy
Read original paper ↗ ·Process Insights into Perovskite Thin‐Film Photovoltaics from Machine Learning with In Situ Luminescence Data
Solar RRL · 2023-01-19
Felix Laufer, Sebastian Ziegler, Fabian Schackmar, Edwin A. Moreno Viteri, Markus Götz, Charlotte Debus, Fabian Isensee, Ulrich W. Paetzold
Read original paper ↗ ·Doping Strategies for Promising Organic–Inorganic Halide Perovskites
Small · 2023-01-20
Run‐Jun Jin, Yanhui Lou, Zhao‐Kui Wang
Read original paper ↗ ·Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics
Nature Reviews Materials · 2023-01-24
Kedar Hippalgaonkar, Qianxiao Li, Xiaonan Wang, John Sheridan Fisher, James Kirkpatrick, Tonio Buonassisi
Read original paper ↗ ·The rise of self-driving labs in chemical and materials sciences
Nature Synthesis · 2023-01-30
Milad Abolhasani, Eugenia Kumacheva
Read original paper ↗ ·Adaptively driven X-ray diffraction guided by machine learning for autonomous phase identification
npj Computational Materials · 2023-03-02
Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng, Mouhamad Said Diallo, Haegyeom Kim, Gerbrand Ceder
Read original paper ↗ ·Monitoring the stability and degradation mechanisms of perovskite solar cells by in situ and operando characterization
APL Energy · 2023-04-24
Fanny Baumann, Sonia R. Raga, Mónica Lira‐Cantú
Read original paper ↗ ·NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
arXiv (Cornell University) · 2023-04-27
Ryo Tamura, Koji Tsuda, Shôichi Matsuda
Read original paper ↗ ·Vision-driven Autocharacterization of Perovskite Semiconductors
ChemRxiv · 2023-04-27
Alexander E. Siemenn, Eunice Aissi, Fang Sheng, Armi Tiihonen, Hamide Kavak, Basita Das, Tonio Buonassisi
Read original paper ↗ ·Olympus, enhanced: benchmarking mixed-parameter and multi-objective optimization in chemistry and materials science
ChemRxiv · 2023-05-17
Riley J. Hickman, Priyansh Parakh, Austin Cheng, Qianxiang Ai, Joshua Schrier, Matteo Aldeghi, Alán Aspuru‐Guzik
Read original paper ↗ ·Fast Bayesian optimization of Needle-in-a-Haystack problems using zooming memory-based initialization (ZoMBI)
npj Computational Materials · 2023-05-26
Alexander E. Siemenn, Zekun Ren, Qianxiao Li, Tonio Buonassisi
Read original paper ↗ ·Transforming characterization data into information in the case of perovskite solar cells
Journal of Physics Energy · 2023-06-22
Thomas Kirchartz, Basita Das
Read original paper ↗ ·Closed‐Loop Error‐Correction Learning Accelerates Experimental Discovery of Thermoelectric Materials
Advanced Materials · 2023-06-28
Hitarth Choubisa, Md Azimul Haque, Tong Zhu, Lewei Zeng, Maral Vafaie, Derya Baran, Edward Hartley Sargent
Read original paper ↗ ·NIMS-OS: an automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
Science and Technology of Advanced Materials Methods · 2023-07-03
Ryo Tamura, Koji Tsuda, Shôichi Matsuda
Read original paper ↗ ·Sustainable materials acceleration platform reveals stable and efficient wide-bandgap metal halide perovskite alloys
Matter · 2023-07-25
Tonghui Wang, Ruipeng Li, Hossein Ardekani, Lucía Serrano‐Luján, Jiantao Wang, Mahdi Ramezani, Ryan L. Wilmington, Mihirsinh Chauhan, Robert W. Epps, Kasra Darabi, Boyu Guo, Dali Sun, Milad Abolhasani, Kenan Gündoğdu, Aram Amassian
Read original paper ↗ ·Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset
Nature Communications · 2023-08-12
Noor Titan Putri Hartono, Hans Köbler, Paolo Graniero, Mark Khenkin, Rutger Schlatmann, Carolin Ulbrich, Antonio Abate
Read original paper ↗ ·Revolutionizing Low‐Cost Solar Cells with Machine Learning: A Systematic Review of Optimization Techniques
Advanced Energy and Sustainability Research · 2023-08-23
Satyam Bhatti, Habib Ullah Manzoor, Bruno Michel, Ruy S. Bonilla, Richard Abrams, Ahmed Zoha, Sajjad Hussain, Rami Ghannam
Read original paper ↗ ·Accelerated Screening of Ternary Chalcogenides for Potential Photovoltaic Applications
Journal of the American Chemical Society · 2023-09-11
Chen Shen, Tianshu Li, Yixuan Zhang, Ruiwen Xie, Teng Long, Nuno M. Fortunato, Fei Liang, Mian Dai, Jiahong Shen, Christopher Wolverton, Hongbin Zhang
Read original paper ↗ ·In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Journal of the American Chemical Society · 2023-09-27
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, Jakoah Brgoch
Read original paper ↗ ·Machine learning in process systems engineering: Challenges and opportunities
Computers & Chemical Engineering · 2023-11-22
Pródromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo H. Chiang, R. Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangöz, Ali Mesbah, Fani Boukouvala, Fernando V. Lima, Ehecatl Antonio del Rio‐Chanona, Christos Georgakis
Read original paper ↗ ·An autonomous laboratory for the accelerated synthesis of inorganic materials
Nature · 2023-11-29
Nathan J. Szymanski, Bernardus Rendy, Yuxing Fei, Rishi E. Kumar, Tanjin He, David Milsted, Matthew J. McDermott, Max C. Gallant, Ekin D. Cubuk, Amil Merchant, Haegyeom Kim, Anubhav Jain, Christopher J. Bartel, Kristin Aslaug Persson, Yan Zeng, Gerbrand Ceder
Read original paper ↗ ·High-Throughput Multi-Scale Experiments to Probe the Stability of Metal Halide Perovskites
ACS Energy Letters · 2023-12-19
Yalan Zhang, Yuanyuan Zhou
Read original paper ↗ ·Advancing high-throughput combinatorial aging studies of hybrid perovskite thin films via precise automated characterization methods and machine learning assisted analysis
Journal of Materials Chemistry A · 2024-01-01
Alexander Wieczorek, Austin G. Kuba, Jan Sommerhäuser, Luis Nicklaus Caceres, Christian M. Wolff, Sebastian Siol
Read original paper ↗ ·Autonomous laboratories for accelerated materials discovery: a community survey and practical insights
Digital Discovery · 2024-01-01
Linda Hung, Joyce A. Yager, Danielle R. Monteverde, Dave Baiocchi, Ha-Kyung Kwon, Shijing Sun, Santosh K. Suram
Read original paper ↗ ·Failure Modes in Materials AI Explanations: A Conceptual Catalog and Prevention Principles
Journal of Artificial Intelligence for Materials Science · 2024-01-01
Hiroshi Nakamura, Yuta Kato
Read original paper ↗ ·Interpreting Materials Data with Artificial Intelligence: From Prediction to Scientific Understanding
Journal of Artificial Intelligence for Materials Science · 2024-01-01
Fatima Zahra Amrani, Youssef Benali, Samira El-Haddad
Read original paper ↗ ·On the prospects of high-entropy organic A-site halide perovskites
Physical Chemistry Chemical Physics · 2024-01-01
Fernando Brondani Minussi, Eudes Borges Araújo
Read original paper ↗ ·PANDA: a self-driving lab for studying electrodeposited polymer films
Materials Horizons · 2024-01-01
Harley Quinn, Gregory A. Robben, Zhaoyi Zheng, Alan L. Gardner, Jörg G. Werner, Keith A. Brown
Read original paper ↗ ·Physiochemical machine learning models predict operational lifetimes of CH 3 NH 3 PbI 3 perovskite solar cells
Journal of Materials Chemistry A · 2024-01-01
Wiley A. Dunlap-Shohl, Yuhuan Meng, Preetham P. Sunkari, David A. C. Beck, Marina Meilă, Hugh W. Hillhouse
Read original paper ↗ ·Progress on Large-area Organic-inorganic Hybrid Perovskite Films and Its Photovoltaic Application
Journal of Inorganic Materials · 2024-01-01
Hui Zhang, Zhipeng XU, Congtan Zhu, Xueyi Guo, Yingguo Yang
Read original paper ↗ ·Race to the bottom: Bayesian optimisation for chemical problems
Digital Discovery · 2024-01-01
Yifan Wu, Aron Walsh, Alex M. Ganose
Read original paper ↗ ·Shining light on hybrid perovskites for photoelectrochemical solar to fuel conversion
EES Catalysis · 2024-01-01
Sudhanshu Shukla, Vishal K. Jose, Nripan Mathews
Read original paper ↗ ·Thermal degradation in methylammonium–formamidinium–guanidinium lead iodide perovskites
Journal of Materials Chemistry C · 2024-01-01
Fernando Brondani Minussi, Rogério Marcos Silva, Jesiel Freitas Carvalho, Eudes Borges Araújo
Read original paper ↗ ·Accelerating Photostability Evaluation of Perovskite Films through Intelligent Spectral Learning-Based Early Diagnosis
ACS Energy Letters · 2024-01-30
Ziyi Liu, Jiyun Zhang, Gaofeng Rao, Zijian Peng, Yixing Huang, Simon Arnold, Bowen Liu, Can Deng, Chen Li, Heng Li, Hanxiang Zhi, Zhi Zhang, Wenke Zhou, Jens Hauch, Chaoyi Yan, Christoph Josef Brabec, Yicheng Zhao
Read original paper ↗ ·Integration of Multijunction Absorbers and Catalysts for Efficient Solar‐Driven Artificial Leaf Structures: A Physical and Materials Science Perspective
Solar RRL · 2024-03-19
Thomas Hannappel, Sahar Shekarabi, Wolfram Jaegermann, Erich Runge, Jan P. Hofmann, Roel van de Krol, Matthias M. May, Agnieszka Paszuk, Franziska Heß, Arno Bergmann, Andreas Bund, Christian Cierpka, Christian Dreßler, Fabio Dionigi, Dennis Friedrich, Marco Favaro, Stefan Krischok, Mario Kurniawan, Kathy Lüdge, Yong Lei, Beatriz Roldán Cuenya, Peter Schaaf, Rüdiger Schmidt‐Grund, W. G. Schmidt, Peter Strasser, Eva Unger, Manuel F. Vasquez-Montoya, Dong Wang, Hongbin Zhang
Read original paper ↗ ·