Papers citing Machine learning for halide perovskite materials
The role of machine learning in perovskite solar cell research
Journal of Alloys and Compounds · 2023-06-01
Chen Chen, Ayman Maqsood, T. Jesper Jacobsson
Read original paper ↗ ·First-principles, machine learning and symbolic regression modelling for organic molecule adsorption on two-dimensional CaO surface
Journal of Molecular Graphics and Modelling · 2023-06-03
Wenguang Hu, Lei Zhang
Read original paper ↗ ·Center-environment deep transfer machine learning across crystal structures: from spinel oxides to perovskite oxides
npj Computational Materials · 2023-06-22
Yihang Li, Ruijie Zhu, Yuanqing Wang, Lingyan Feng, Yi Liu
Read original paper ↗ ·Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods
Micromachines · 2023-07-19
Dimitrios Angelis, Filippos D. Sofos, Konstantinos Papastamatiou, Theodoros E. Karakasidis
Read original paper ↗ ·High-Throughput Screening on Halide Perovskite Derivatives and Rational Design of Cs 3 LuCl 6
ACS Energy Letters · 2023-08-02
Hyeon Woo Kim, Joo Hyeong Han, Hyunseok Ko, Tuhin Samanta, Dong Geon Lee, Dong Won Jeon, Woongchan Kim, Yong‐Chae Chung, Won Bin Im, Sung Beom Cho
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 ↗ ·Application of Machine Learning in Material Synthesis and Property Prediction
Materials · 2023-08-31
Guannan Huang, Yani Guo, Ye Chen, Zhengwei Nie
Read original paper ↗ ·Machine Learning in Perovskite Solar Cells: Recent Developments and Future Perspectives
Energy Technology · 2023-09-13
Nitin Kumar Bansal, Snehangshu Mishra, Himanshu Dixit, Shivam Porwal, Paulomi Singh, Trilok Singh
Read original paper ↗ ·From prediction to design: Recent advances in machine learning for the study of 2D materials
Nano Energy · 2023-10-04
Hua He, Yuhua Wang, Yajuan Qi, Zichao Xu, Yue Li, Yumei Wang
Read original paper ↗ ·Rotor lattice model of ferroelectric large polarons
Physical Review Research · 2023-10-05
Georgios M. Koutentakis, Areg Ghazaryan, Mikhail Lemeshko
Read original paper ↗ ·Prediction of photoelectric conversion efficiency of organic photovoltaic materials based on deep learning
International Conference on Mechanical Engineering, Materials and Automation Technology (MMEAT) · 2023-10-25
Xiangyu Kong, Bohao Xu
Read original paper ↗ ·Absorber Layer Thickness as a New Feature in Statistical Learning Tools of Perovskite Solar Cells
Journal of Applied Research and Technology · 2023-10-30
Jeisson Emilio Velez Sanchez, Mónica Andrea Botero Londoño, Alexander Sepúlveda, C. A. Otálora, Cristian David Camacho Parra
Read original paper ↗ ·Exploring Data Augmentation and Dimension Reduction Opportunities for Predicting the Bandgap of Inorganic Perovskite through Anion Site Optimization
Photonics · 2023-11-03
Tri-Chan-Hung Nguyen, Young-Un Kim, Insung Jung, O–Bong Yang, Mohammad Shaheer Akhtar
Read original paper ↗ ·Enhanced optical and energy storage properties of K0.5Na0.5NbO3 lead-free ceramics by doping Bi(Sr0.5Zr0.5)O3
Journal of Energy Storage · 2023-11-06
Lechen Dong, Zhonghua Dai, Jie Hou, Chenxi Liu, Ruijian Dai, Yuxing Liu, Weiguo Liu, Shuitao Gu
Read original paper ↗ ·Accelerated design of stable halide perovskite heterostructure film in hostile condition via surface modifier
Organic Electronics · 2023-11-08
Shenyue Li, Yiru Huang, Lei Zhang
Read original paper ↗ ·Comprehensive and Accurate Prediction of Band Gap for Lead-Free Double Perovskites through Self-Modified Machine Learning Strategy
The Journal of Physical Chemistry C · 2023-11-21
Jing Lan, Songyang Yuan, Huiqun Zheng, Wenjian Yang, Wenzhe Li, Jiandong Fan
Read original paper ↗ ·Machine learning–assisted colloidal synthesis: A review
Materials Today Chemistry · 2023-12-07
Dayana Gulevich, Igor R. Nabiev, Pavel S. Samokhvalov
Read original paper ↗ ·A machine learning-assisted study of the formation of oxygen vacancies in anatase titanium dioxide
RSC Advances · 2024-01-01
Dan Wang, Ronghua Zan, Xiaorong Zhu, Yuwei Zhang, Yu Wang, Yanhui Gu, Yafei Li
Read original paper ↗ ·Development and application of Few-shot learning methods in materials science under data scarcity
Journal of Materials Chemistry A · 2024-01-01
Yongxing Chen, Long Peng, Bin Liu, Yi Wang, Junlong Wang, Tian Ma, Huilin Wei, Yue Kang, Haining Ji
Read original paper ↗ ·Nature-inspired and computer-aided approaches to enable improved photovoltaic materials, more efficient processing, and novel devices
Elsevier eBooks · 2024-01-01
Aloysius F. Hepp, Ryne P. Raffaelle
Read original paper ↗ ·High-Throughput Ensemble-Learning-Driven Band Gap Prediction of Double Perovskites Solar Cells Absorber
Machine Learning and Knowledge Extraction · 2024-02-16
Sabrina Djeradi, Tahar Dahame, Mohamed Abdelilah Fadla, Bachir Bentria, Mohammed Benali Kanoun, Souraya Goumri‐Said
Read original paper ↗ ·Coordination of Thermally Activated Delayed Fluorescent Molecules for Efficient and Stable Perovskite Light‐Emitting Diodes
Advanced Functional Materials · 2024-03-25
Bo Chen, He Liu, Jonghee Yang, Mahshid Ahmadi, Qi Chen, Ni Yin, Shitong Zhang, Meiqin Xiao, Haoyue Zhang, Long Xu, Ping Chen
Read original paper ↗ ·Deciphering N-Doped Biochar Design for Non-Radical Pathways through Hierarchical Machine Learning
ACS ES&T Engineering · 2024-04-03
Rupeng Wang, Zixiang He, Honglin Chen, Ke Wang, Shiyu Zhang, Nanqi Ren, Shih‐Hsin Ho
Read original paper ↗ ·Accelerating the discovery of direct bandgap doped-spinel photovoltaic materials: A target-driven approach using interpretable machine learning
Solar Energy Materials and Solar Cells · 2024-04-25
Chaofan Liu, Zhengxin Chen, Chunliang Ding, Shengde Jin, Jiafan Wang, Jiawei Feng, Jiang Wu, Heping Huang, Jia Horng Lin, Jingfei Yu, Yuyue Quan, Kaiyuan Zhang
Read original paper ↗ ·B-site deficient hexagonal perovskites: Structural stability, ionic order-disorder and electrical properties
Progress in Solid State Chemistry · 2024-04-30
Xiaoyan Yang, Alberto José Fernández-Carrión, Xinyue Geng, Xiaojun Kuang
Read original paper ↗ ·Predictive machine learning approaches for perovskites properties using their chemical formula: towards the discovery of stable solar cells materials
Neural Computing and Applications · 2024-05-25
Soundous Touati, Ali Benghia, Zoulikha Hebboul, Ibn Khaldoun Lefkaier, Mohammed Benali Kanoun, Souraya Goumri‐Said
Read original paper ↗ ·Predicting photovoltaic parameters of perovskite solar cells using machine learning
Journal of Physics Condensed Matter · 2024-05-28
Hui Zhan, Min Wang, Jialu Chen, Xiang Yin, Yunliang Yue, Jing Lu
Read original paper ↗ ·Employing the Interpretable Ensemble Learning Approach to Predict the Bandgaps of the Halide Perovskites
Materials · 2024-06-02
Chao Ren, Yiyuan Wu, Jijun Zou, Bowen Cai
Read original paper ↗ ·Accelerated Design for Perovskite-Oxide-Based Photocatalysts Using Machine Learning Techniques
Materials · 2024-06-20
Xiuyun Zhai, Mingtong Chen
Read original paper ↗ ·Descriptor Design for Perovskite Material with Compatible Molecules via Language Model and First-Principles
Journal of Chemical Theory and Computation · 2024-07-22
Yiru Huang, Lei Zhang
Read original paper ↗ ·Unveiling Feature Importance in Methanol Reforming Systems through the Machine Learning
Industrial & Engineering Chemistry Research · 2024-08-02
Zhenwei Liang, Jiazhun Huang, Biqi Zhong, Yujia Liu, Tiejun Wang
Read original paper ↗ ·Improving thermodynamic stability of double perovskites with machine learning: The role of cation composition
Solar Energy · 2024-08-07
Yuxin Zhan, Xiaojie Ren, Shuai Zhao, Zhanglin Guo
Read original paper ↗ ·Prediction of wind load power spectrum on high-rise buildings by various machine learning algorithms
Structures · 2024-08-08
Yi Li, Peng-Kun Yin, Fubin Chen
Read original paper ↗ ·Adapting Explainable Machine Learning to Study Mechanical Properties of 2D Hybrid Halide Perovskites
Advanced Functional Materials · 2024-08-13
Yuxuan Yao, Dan Han, Kieran B. Spooner, Xiaoyu Jia, H. Ebert, David O. Scanlon, Harald Oberhofer
Read original paper ↗ ·Predicting ammonia emissions and global warming potential in composting by machine learning
Bioresource Technology · 2024-08-23
Bing Wang, Peng Zhang, Xingyi Qi, Guomin Li, Jian Zhang
Read original paper ↗ ·Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data
Advanced Intelligent Systems · 2024-09-09
Hoon Jeong Lee, Arlene Chiu, Yida Lin, Sreyas M. Chintapalli, Serene Kamal, Eric Ji, Susanna M. Thon
Read original paper ↗ ·Navigating the complexity of hybrid materials without structural dependency: PerovGNN as a map
Acta Materialia · 2024-09-27
Longhan Zhang, Temesgen Muruts Weldengus, Meng Yu, Siyuan Xu, Zhaoliang Lei, Haowen Wang, Yiteng Zhai, Yao Yang, Ruixuan Song, Jing Jiang
Read original paper ↗ ·A SYSTEMATIC LITERATURE REVIEW ON ENERGY-EFFICIENT TRANSFORMER DESIGN FOR SMART GRIDS
SSRN Electronic Journal · 2025-01-01
Ammar Bajwa
Read original paper ↗ ·Accelerating materials property discovery in uncharted domains through the integration of high-throughput computation and machine learning
CrystEngComm · 2025-01-01
Chih‐Shan Tan
Read original paper ↗ ·Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication
Energy & Environmental Science · 2025-01-01
Felix Laufer, Markus Götz, Ulrich W. Paetzold
Read original paper ↗ ·Innovative computational framework for Sr 3 SbCl 3 absorber optimization: DFT, SCAPS-1D, and machine learning perspectives
New Journal of Chemistry · 2025-01-01
Noureddine Ali Elboughdiri, Bhupoti Bhushan Sarkar, Md. Azizur Rahman, Abdel Majid A. Adam, Md. Hafizur Rahman, Jothi Ramalingam Rajabathar, Q. Mohsen, Abdulaziz A. Alshihri, Mohd Taukeer Khan, Md. Sharif Uddin, Samah Saidi
Read original paper ↗ ·Quantum Circuit Learning for Predicting Nature of Band Gap of Perovskite Oxides
SSRN Electronic Journal · 2025-01-01
Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono, Hideaki Kasai
Read original paper ↗ ·ESR Study of Double-Exchange Phenomenon in Non-Stoichiometric LaMnO3+δ Correlated to the Crystal Structure
Journal of Electronic Materials · 2025-01-14
Mondher Yahya, Ahmed Hichem Hamzaoui
Read original paper ↗ ·A fast composition-stability machine learning model for screening MAX phases and guiding discovery of Ti 2 SnN
Journal of Advanced Ceramics · 2025-02-21
Zhiyao Lü, Yun Fan, Zhaoxu Sun, Xiaodong He, Chuchu Yang, Hang Yin, Jinze Zhang, Guangping Song, Yongting Zheng, Yuelei Bai
Read original paper ↗ ·Discovering key factors determining perovskite bandgap under data scarcity inspired by knowledge distillation
Journal of Colloid and Interface Science · 2025-05-08
Lanze Xiao, Hongyu Liu, Xiaolin Liu, Hairui Zhou, Yi Zhang, Bowen Liu, Jiang Wu, Jia Horng Lin
Read original paper ↗ ·Machine Learning-Assisted Optical Characterization and Growth Modulation of Two-Dimensional Materials
Chemistry · 2025-05-13
Zhihong Jewel Hu, Jiayi Liu, Xuefei Li, Zongyu Huang, Xiang Qi, Wenjuan Du
Read original paper ↗ ·Unlocking a self-driving research workflow for perovskite photovoltaics
Matter · 2025-06-01
Lifang Xie, Yalan Zhang, Noah Peterkes, Xiao‐Fen Li, Yike Guo, Yuanyuan Zhou
Read original paper ↗ ·DFT analysis of Ba2XTaO6 (X = Sm, Er) perovskites: Stability & functional properties
Journal of Physics and Chemistry of Solids · 2025-06-23
Nasir Rahman, Amir Ullah, Ahmed Azzouz‐Rached, Mudasser Husain, M.D. Alshahrani, Amani H. Alfaifi, Khamael Mohammed Abualnaja, Wafa Mohammed Almalki, Eman Almutib, Muawya Elhadi, Vineet Tirth, Rajwali Khan
Read original paper ↗ ·Machine learning for predictive design and optimization of high-performance thermoelectric materials: a review
Journal of Materials Informatics · 2025-06-24
Yuelin Wang, Chengquan Zhong, Jingzi Zhang, Jiakai Liu, Kailong Hu, Junjie Chen, Xi Lin
Read original paper ↗ ·Advancing perovskite light-emitting diodes: Multifunctional role of polymer, organic, and inorganic ligands in stability and efficiency enhancement
Nano Energy · 2025-06-25
Muhammad Imran Saleem, Attia Batool, Jaehyun Hur
Read original paper ↗ ·