Papers citing Machine learning for halide perovskite materials
Formability of ABS3 Perovskites
The Journal of Physical Chemistry Letters · 2025
Haitao Li, Lu Mao, Dongdong He, Qisheng Feng, Han Miao, Pengyue Gao, Guangyao Chen, Chonghe Li
Read original paper ↗ ·MatPC: Prompting Large Language Model, Crystal Structure Prediction, and First-Principles for Semantic-Driven Material Design
ACS Applied Materials & Interfaces · 2025
Jiacheng Zhou, Bo Xiao, Qi Liu, Lifeng Liu, Lei Zhang
Read original paper ↗ ·Machine Learning‐Driven Perovskite Research from Experimental Exploration to Industrial Development
Solar RRL · 2025
Zhuo Feng, Xu Zhu, Meng Hao, Antai Yang, Jixin Tang, Chengquan Zhong, Kailong Hu, Jiakai Liu, Jingzi Zhang, Xi Lin
Read original paper ↗ ·Machine learning in X-ray diffraction for materials discovery and characterization
Matter · 2025
Connor Davel, Nazanin Bassiri‐Gharb, Juan‐Pablo Correa‐Baena
Read original paper ↗ ·Machine learning-assisted shape prediction for two-dimensional transition metal dichalcogenides growth
Journal of Materials Science · 2025
Zhihong Jewel Hu, Zongyu Huang, Biwen He, Siwei Luo, Xiang Qi
Read original paper ↗ ·Numerical Simulation and Machine Learning-Driven Engineering of K 2 GeI 6 Perovskite Solar Cells for High-Efficiency and Sustainable Photovoltaics
ACS Applied Energy Materials · 2025
Md. Tarekuzzaman, Khandoker Isfaque Ferdous Utsho, Adnan Sami Sarker, Md. Imam Uddin Forkan, Mahfuz Alam Khan
Read original paper ↗ ·Machine learning facilitates the development of interconnecting layers for perovskite/silicon heterojunction tandem solar cells with proof-of-concept efficiency > 38%
Journal of Semiconductors · 2025
Xuejiao Wang, Guanlan Chen, Ying Liu, Guangyi Wang, Wei Han, Jin Wang, Pengfeï Liu, Jilei Wang, Shaojuan Bao, Bo Yu, Ying Liu, Xinliang Chen, Shengzhi Xu, Ying Zhao, Xiaodan Zhang
Read original paper ↗ ·Recent progress on multi-scale calculation of perovskite-based proton-conducting electrolytes for proton ceramic fuel cells
Applied Energy · 2025
Weiwei Zhang, Yong Wang, Wolong Li, Yongcun Li, Lili Sun, Xuyun Zhang
Read original paper ↗ ·Enhanced quantum support vector regression with quantum kernels and virtual sampling for ABX3 perovskite formation energy
Expert Systems with Applications · 2025
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai
Read original paper ↗ ·Large Language Models (LLMs) for Materials Design
Advanced Functional Materials · 2025
Lei Zhang, Zhaorui Liu, Ben Ni, Quan Wang
Read original paper ↗ ·Chemical diversity encoded in symmetry: universal distortion rules and design principles for perovskites
Materials Horizons · 2026
Mikhail V. Talanov, Ekaterina G. Trotsenko
Read original paper ↗ ·High throughput generation of high- zT thermoelectrics with precise stoichiometric controls
Nanoscale · 2026
Yuelin Wang, Chengquan Zhong, Jingzi Zhang, Kailong Hu, J C Chen, Xi Lin
Read original paper ↗ ·Unraveling amine–pore interactions regulating CO 2 adsorption–desorption behaviors in amine sorbents
Journal of Materials Chemistry A · 2026
Zhinan Wu, Yinchen Li, Tong Zhou, Peng Jiang, Zhiheng Wang, Yunxia Wen, Tingting Wang, Xinwei Zhang, Xiwen Zhang, Shuailong Song, Han Lin, Liwen Mu, Xiaoyan Ji, Xiaohua Lü, Tuo Ji, Shuandi Hou, Jiahua Zhu
Read original paper ↗ ·Data-driven assisted design of highly stable and superhard high-entropy diborides
Materials Science and Engineering A · 2026
Yuxue Ren, Qianqian Wang, Zhilin Han, Ji-Xuan LIU, Yutong Fan, Congju Zuo, Guangquan Yue, Xingwei Zheng, Yongcheng Liang, Guo-Jun ZHANG
Read original paper ↗ ·Eco-friendly Cs2SnGeCl6 perovskite absorber: A combined numerical simulation and machine learning analysis for high efficiency solar cells
Materials Today Electronics · 2026
Adnan Sami Sarker, Asadul Islam Shimul, Md. Tarekuzzaman, Bipul Chandra Biswas
Read original paper ↗ ·Extracting Knowledge of 2D‐Hybrid Halide Perovskite Materials: A Data Mining Approach
ChemistryOpen · 2026
Guadalupe Castro, Miriam Pescador‐Rojas, Joel Ireta
Read original paper ↗ ·Efficient Discovery of Lead-Free A 3 BX 6 Halide Perovskites via Machine Learning
ACS Sustainable Chemistry & Engineering · 2026
Xinying Xian, Ding Wang, Ge Xu, Wenbo Luo, Shenchun Yuan, Feifan Chen, Yayun Pu, Fei Qi, Nan Zhang, Xiaosheng Tang, Qiang Huang
Read original paper ↗ ·Data-driven optimization of lipase-catalyzed butyl butyrate synthesis using active learning and metaheuristic algorithms
Process Safety and Environmental Protection · 2026
Anish Sarkar, Anish Sarkar, Usnish Sen, Deblina Sengupta, Ujjaini Sarkar, Heinz A. Preisig, Saptarshi Ghosh
Read original paper ↗ ·Achieving excellent energy storage performance in lead-free K₀.₅Na₀.₅NbO₃-based transparent ferroelectric ceramics
Journal of Energy Storage · 2026
Yisong Lu, Lechen Dong, Xujun Li, Yuanyuan Zheng, Chenxi Liu, QinQiang Guo, Zhonghua Dai, Shuitao Gu
Read original paper ↗ ·Machine Learning‐Assisted Screening of Small Molecules for Surface Modification of 2D Perovskites
Advanced Materials Technologies · 2026
Huitao Zhang, Jia Zhou, Jing Huang, Yixin Ma, Shumin Zhao, Xu Zhang, Jun Wang
Read original paper ↗ ·A machine learning framework for screening and band gap prediction of stable cubic halide perovskites for energy applications
Journal of Power Sources · 2026
Qawareer Fatima, Haiqian Zhang, Usaid Ahmad, Azhar Ali Haidry
Read original paper ↗ ·Revealing the performance potential of butylammonium-containing 2D iodide perovskite for high-efficiency solar cells: a numerical simulation and machine learning study
The European Physical Journal Plus · 2026
Md. Tarekuzzaman, Adnan Sami Sarker, Sahariar Reza, Asadul Islam Shimul, Md. Azizur Rahman, Farid Fadhillah, Karim Kriaa, Noureddine Elboughdiri
Read original paper ↗ ·Curated Data Set, Structure–Property Relationships, and Machine Learning Prediction of Band Gaps for One-Dimensional Bismuth(III) and Antimony(III) Halides
Chemistry of Materials · 2026
Andrei V. Bykov, Аndrei V. Shevelkov
Read original paper ↗ ·Thermo-Optical energy properties of Soft-Lattice halide perovskites BaNaI3 and BaKI3
Optics & Laser Technology · 2026
Nasir Rahman, Ahmed Azzouz‐Rached, Amir Ullah, Mubashir Hussain, Eman M. Alshehri, Vineet Tirth, Ali Algahtani, Hind Mohammed Albalawi, Saleha Qissi, Essam A. Al‐Ammar
Read original paper ↗ ·Machine Learning Meets Photocatalytic Water Splitting for Sustainable Hydrogen Production
ChemPhotoChem · 2026
Heesung Yoon, Jin Hyuk Cho, Wee‐Jun Ong, Soo Young Kim
Read original paper ↗ ·The Critical Role of Tilting Descriptors in Data‐Driven Property Prediction of Orthorhombic Perovskites
Advanced Theory and Simulations · 2026
Qawareer Fatima, Azhar Ali Haidry, Usaid Ahmad, Haiqian Zhang
Read original paper ↗ ·Direct band gap lead-free double perovskite semiconductors Rb2AgB’F6 (B’ = In, Ir) for efficient solar cells: Ab-initio study
Solar Compass · 2026
Souad Ourahhou, Adil Elkhou, Ismail Benaicha, Zakaryae Haman, Smail Amraoui, A. Fahmi
Read original paper ↗ ·Integration of SCAPS-1D and Machine Learning for Optimizing CuAgBi2I8 Solar Cells by Employing Copper-Based Chalcogenide Hole Transport Layers
Journal of Inorganic and Organometallic Polymers and Materials · 2026
Kiran Zaman, Muhammad Kashif, Farid Fadhillah, Rizwan Akram, Hmoud Al Dmour, Noureddine Ali Elboughdiri
Read original paper ↗ ·SHAP-augmented interpretable machine learning unlocks lead-free double perovskites for high-performance green light-emitting diodes
Solar Energy Materials and Solar Cells · 2026
Jingwen Deng, Gang Liu, Ruixin Tu, Yunpu Wen, Meng Bao, Shengjiao Qian, Bohao Cui, Yuxi Bi, Chao Dong, Jiangzhou Xie, Xiaoning Guan, Amondullo Burkhonzoda, Changcheng Chen, Pengfei Lu
Read original paper ↗ ·