Papers citing Machine learning for perovskite materials design and discovery
When Data Steers Design: Feedback Dynamics in AI-Guided Materials Exploration Pipelines
Journal of Computational and Data-Driven Materials Engineering · 2022-01-01
Lucas Meyer, Anna Schmid, Stefan Braun
Read original paper ↗ ·Breaking the Aristotype: Featurization of Polyhedral Distortions in Perovskite Crystals
Chemistry of Materials · 2022-01-06
Kazuki Morita, Daniel W. Davies, Keith T. Butler, Aron Walsh
Read original paper ↗ ·Plasmonic–perovskite solar cells, light emitters, and sensors
Microsystems & Nanoengineering · 2022-01-12
Bin Ai, Ziwei Fan, Zi Jing Wong
Read original paper ↗ ·Scratching the Surface: Passivating Perovskite Nanocrystals for Future Device Integration
The Journal of Physical Chemistry Letters · 2022-01-21
Zachary A. VanOrman, Rachel Weiss, Megan L. Medina, Lea Nienhaus
Read original paper ↗ ·Analysis of photoelectrochemical water splitting using machine learning
International Journal of Hydrogen Energy · 2022-01-22
Burcu Oral, Elif Can, Ramazan Yıldırım
Read original paper ↗ ·ABO3 Perovskites’ Formability Prediction and Crystal Structure Classification using Machine Learning
International Conference on Innovations in Science, Engineering and Technology (ICISET) · 2022-02-01
Minhaj Uddin Ahmad, A Abdur Rahman Akib, Md. Mohsin Sarker Raihan, Abdullah Bin Shams
Read original paper ↗ ·Magnetic performance oriented composition design of Sm-Co based alloys by machine learning and experimental studies
Computational Materials Science · 2022-02-04
Kai Guo, Hao Lü, Zhi Hao Zhao, Fawei Tang, Haibin Wang, Xiaoyan Song
Read original paper ↗ ·Global instability index as a crystallographic stability descriptor of halide and chalcogenide perovskites
Journal of Energy Chemistry · 2022-02-18
Weiqiang Feng, Ruoting Zhao, Xiaoyu Wang, Bangyu Xing, Yilin Zhang, Xin Hai He, Lijun Zhang
Read original paper ↗ ·Simple Structural Descriptor Obtained from Symbolic Classification for Predicting the Oxygen Vacancy Defect Formation of Perovskites
ACS Applied Materials & Interfaces · 2022-02-23
Siyu Liu, Jing Wang, Zhongtao Duan, Kongxiang Wang, Wanlu Zhang, Ruiqian Guo, Fengxian Xie
Read original paper ↗ ·Machine learning analysis of gas phase photocatalytic CO2 reduction for hydrogen production
International Journal of Hydrogen Energy · 2022-03-04
Dilara Saadetnejad, Burcu Oral, Elif Can, Ramazan Yıldırım
Read original paper ↗ ·Screening Perovskites from ABO3 Combinations Generated by Constraint Satisfaction Techniques Using Machine Learning
ACS Omega · 2022-03-16
Jie Zhao, Xiaoyan Wang
Read original paper ↗ ·Determining the dependence of solar cell power conversion efficiency on fabrication parameters in inorganic perovskite types by programming gene expression
Physica E Low-dimensional Systems and Nanostructures · 2022-03-19
Ali Habibi, Reza Khayati, Soghra Mirershadi
Read original paper ↗ ·Accurate, affordable, and generalizable machine learning simulations of transition metal x-ray absorption spectra using the XANESNET deep neural network
The Journal of Chemical Physics · 2022-03-25
Conor D. Rankine, Thomas J. Penfold
Read original paper ↗ ·Machine learning in energy storage materials
Interdisciplinary materials · 2022-03-29
Zhong‐Hui Shen, Hanxing Liu, Yang Shen, Jia‐Mian Hu, Long‐Qing Chen, Ce‐Wen Nan
Read original paper ↗ ·Optoelectronic Properties Prediction of Lead-Free Methylammonium Alkaline-Earth Perovskite Based on DFT Calculations
ACS Omega · 2022-04-25
Chih‐Shan Tan, Chung Chi Yang
Read original paper ↗ ·Prediction of nature of band gap of perovskite oxides (ABO3) using a machine learning approach
Journal of Materiomics · 2022-04-27
G. Sudha Priyanga, Manoj N. Mattur, N. Nagappan, Smarak Rath, Tiju Thomas
Read original paper ↗ ·Opportunities for machine learning to accelerate halide-perovskite commercialization and scale-up
Matter · 2022-05-01
Rishi E. Kumar, Armi Tiihonen, Shijing Sun, David P. Fenning, Zhe Liu, Tonio Buonassisi
Read original paper ↗ ·Machine learning and symbolic regression for adsorption of atmospheric molecules on low-dimensional TiO2
Applied Surface Science · 2022-05-18
Jiachi Xie, Lei Zhang
Read original paper ↗ ·Nanophotonics for Perovskite Solar Cells
Advanced Photonics Research · 2022-05-18
Aleksandra D. Furasova, Pavel M. Voroshilov, Daniel Sapori, Konstantin Ladutenko, Daniele Barettin, Anvar A. Zakhidov, Aldo Di Carlo, Constantin R. Simovski, Sergey Makarov
Read original paper ↗ ·Antiperovskite Sr 3 MN and Ba 3 MN (M = Sb or Bi) as promising photovoltaic absorbers for thin‐film solar cells: A first‐principles study
Journal of the American Ceramic Society · 2022-05-20
Youngho Kang
Read original paper ↗ ·Predicting the formation and stability of oxide perovskites by extracting underlying mechanisms using machine learning
Computational Materials Science · 2022-06-01
George Stephen Thoppil, Alankar Alankar
Read original paper ↗ ·Recent progress in nanocrystalline Sm–Co based magnets
Materials Today Chemistry · 2022-06-03
Kai Guo, H. Lu, Guojing Xu, D. Liu, H.B. Wang, X.M. Liu, Xiaoyan Song
Read original paper ↗ ·Machine learning in concrete science: applications, challenges, and best practices
npj Computational Materials · 2022-06-06
Zhanzhao Li, Jinyoung Yoon, Rui Zhang, Farshad Rajabipour, Wil V. Srubar, Ismaïla Dabo, Aleksandra Radlińska
Read original paper ↗ ·Machine Learning-Assisted Design of Yttria-Stabilized Zirconia Thermal Barrier Coatings with High Bonding Strength
ACS Omega · 2022-06-09
Pengcheng Xu, Can Chen, Shuizhou Chen, Wencong Lu, Quan Qian, Yi Han Zeng
Read original paper ↗ ·Material machine learning for alloys: Applications, challenges and perspectives
Journal of Alloys and Compounds · 2022-06-21
Xiujuan Liu, Pengcheng Xu, Juanjuan Zhao, Wencong Lu, Minjie Li, Gang Wang
Read original paper ↗ ·Machine Learning Approach to Delineate the Impact of Material Properties on Solar Cell Device Physics
ACS Omega · 2022-06-22
Md. Shafiqul Islam, Md Tohidul Islam, Saugata Sarker, Hasan Al Jame, Sadiq Shahriyar Nishat, Md. Rafsun Jani, Abrar Rauf, Sumaiyatul Ahsan, Kazi Md. Shorowordi, Harry Efstathiadis, Joaquin O. Carbonara, Saquib Ahmed
Read original paper ↗ ·Recent Progress in Mixed A‐Site Cation Halide Perovskite Thin‐Films and Nanocrystals for Solar Cells and Light‐Emitting Diodes
Advanced Optical Materials · 2022-06-22
Mahdi Malekshahi Byranvand, Clara Otero‐Martínez, Junzhi Ye, Weiwei Zuo, Liberato Manna, Michael Saliba, Robert L. Z. Hoye, Lakshminarayana Polavarapu
Read original paper ↗ ·Calcium copper titanate a perovskite oxide structure: effect of fabrication techniques and doping on electrical properties—a review
Journal of Materials Science Materials in Electronics · 2022-06-23
S. Grace Infantiya, A. Aslinjensipriya, R. Sylvia Reena, Shubramaniyan Deepapriya, John David Rodney, Santanu Das, Chellan Justin Raj
Read original paper ↗ ·The Development of New Perovskite-Type Oxygen Transport Membranes Using Machine Learning
Crystals · 2022-07-05
Hartmut Schlenz, Stefan Baumann, Wilhelm Albert Meulenberg, Olivier Guillon
Read original paper ↗ ·The effects of organic cation rotation in hybrid Organic-Inorganic Perovskites: A critical review
Materials & Design · 2022-07-21
Siyu Liu, Ruiqian Guo, Fengxian Xie
Read original paper ↗ ·Data-Driven Analysis of Hole-Transporting Materials for Perovskite Solar Cells Performance
The Journal of Physical Chemistry C · 2022-07-29
Marcos del Cueto, Charles Rawski-Furman, Juan Aragó, Enrique Ortı́, Alessandro Troisi
Read original paper ↗ ·Coordination polymers as precursors of simple and complex oxides
International Journal of Applied Ceramic Technology · 2022-08-04
Hiroyuki Hayashi, Yuta Morimitsu, Ikko Tatsumi, Isao Tanaka
Read original paper ↗ ·Insights into Cation Ordering of Double Perovskite Oxides from Machine Learning and Causal Relations
Chemistry of Materials · 2022-08-05
Ayana Ghosh, Palanichamy Gayathri, Dennis Trujillo, Monirul Shaikh, Saurabh Ghosh
Read original paper ↗ ·Intelligent control of nanoparticle synthesis on microfluidic chips with machine learning
NPG Asia Materials · 2022-08-11
Xueye Chen, Honglin Lv
Read original paper ↗ ·Computation-accelerated discovery of the K2NiF4-type oxyhydrides combing density functional theory and machine learning approach
Frontiers in Chemistry · 2022-08-26
Qiang Bai, Yunrui Duan, Jie Lian, Xiaomin Wang
Read original paper ↗ ·Machine learning-facilitated multiscale imaging for energy materials
Cell Reports Physical Science · 2022-08-26
Guoxu Zhang, Yajie Song, Wei Zhao, Hanwen An, Jiajun Wang
Read original paper ↗ ·Machine‐Learning Modeling for Ultra‐Stable High‐Efficiency Perovskite Solar Cells
Advanced Energy Materials · 2022-09-13
Yingjie Hu, Xiaobing Hu, Lu Zhang, Tao Zheng, Jiaxue You, Binxia Jia, Yabin Ma, Xinyi Du, Lei Zhang, Jincheng Wang, Bo Che, Tao Chen, Shengzhong Frank Liu
Read original paper ↗ ·Hidden Markov model analysis for fluorescent time series of quantum dots
Physical review. B./Physical review. B · 2022-09-19
Tatsuhiro Furuta, Keisuke Hamada, Masaru Oda, Kazuma Nakamura
Read original paper ↗ ·Applications of machine learning in perovskite materials
Advanced Composites and Hybrid Materials · 2022-09-30
Ziman Wang, Ming Yang, Xixi Xie, Chenyang Yu, Qinglong Jiang, Mina Huang, Hassan Algadi, Zhanhu Guo, Hang Zhang
Read original paper ↗ ·Mapping the Room-Temperature Dynamic Stabilities of Inorganic Halide Double Perovskites
Chemistry of Materials · 2022-10-03
Jack Yang, Jiaxin Fan, Sean Li
Read original paper ↗ ·Designing catalysts via evolutionary-based optimization techniques
Computational Materials Science · 2022-10-12
Parastoo Agharezaei, Tanay Sahu, Jonathan P. Shock, Paul G. O’Brien, Kulbir Kaur Ghuman
Read original paper ↗ ·Machine learned synthesizability predictions aided by density functional theory
Communications Materials · 2022-10-12
Andrew S. Lee, Suchismita Sarker, James E. Saal, Logan T. Ward, Christopher K. H. Borg, Apurva Mehta, Christopher Wolverton
Read original paper ↗ ·Artificial intelligence automates the characterization of reversibly actuating planar-flow-casted NiTi shape memory alloy foil
PLoS ONE · 2022-10-19
Ritaban Dutta, Ling Chen, David Renshaw, Daniel Liang
Read original paper ↗ ·Machine learning-driven design of promising perovskites for photovoltaic applications: A review
Surfaces and Interfaces · 2022-11-04
Jinlian Chen, Mengjia Feng, Chenyang Zha, Cairu Shao, Linghai Zhang, Lin Wang
Read original paper ↗ ·Rapid discovery of inorganic-organic solid composite electrolytes by unsupervised learning
Chemical Engineering Journal · 2022-11-04
Kehao Tao, Zhilong Wang, Yanqiang Han, Jinjin Li
Read original paper ↗ ·Electrochemoinformatics as an Emerging Scientific Field for Designing Materials and Electrochemical Energy Storage and Conversion Devices—An Application in Battery Science and Technology
Advanced Energy Materials · 2022-11-07
Igor I. Baskin, Yair Ein‐Eli
Read original paper ↗ ·Challenges and Opportunities of Chemiresistors Based on Microelectromechanical Systems for Chemical Olfaction
ACS Nano · 2022-11-10
Mengya Guo, James T. Brewster, Huacheng Zhang, Yuxin Zhao, Yanli Zhao
Read original paper ↗ ·Computerized Prediction of Perovskite Performance Using Deep Learning
Electronics · 2022-11-16
Hanan A. Hosni Mahmoud
Read original paper ↗ ·Connecting the dots for fundamental understanding of structure–photophysics–property relationships of COFs, MOFs, and perovskites using a Multiparticle Holstein Formalism
Chemical Science · 2022-11-16
Raja Ghosh, Francesco Paesani
Read original paper ↗ ·Inverse design of truss lattice materials with superior buckling resistance
npj Computational Materials · 2022-11-29
Marco Maurizi, Chao Gao, Filippo Berto
Read original paper ↗ ·