Papers citing Machine learning for perovskite materials design and discovery
Lead-Free Double Perovskites: A Review of the Structural, Optoelectronic, Mechanical, and Thermoelectric Properties Derived from First-Principles Calculations, and Materials Design Applicable for Pedagogical Purposes
Crystals · 2024
David Olubiyi Obada, Shittu B. Akinpelu, Simeon A. Abolade, Emmanuel Okafor, Aniekan Magnus Ukpong, Syam Kumar R, Akinlolu Akande
Read original paper ↗ ·Discovery and verification of two-dimensional organic–inorganic hybrid perovskites via diagrammatic machine learning model
Materials & Design · 2024
Qiyuan Zhu, Pengcheng Xu, Tian Lu, Xiaobo Ji, Min Shao, Zhiming Duan, Wencong Lu
Read original paper ↗ ·Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection
npj Materials Degradation · 2024
Tong Liu, Zhuoyao Chen, Jingzhi Yang, Lingwei Ma, J.M.C. Mol, Dawei Zhang
Read original paper ↗ ·Mapping Uncharted Lead-Free Halide Perovskites and Related Low-Dimensional Structures
Materials · 2024
Anna Dávid, Julia Morát, Mengyun Chen, Feng Gao, Mats Fahlman, Xianjie Liu
Read original paper ↗ ·High-throughput ab initio calculations and machine learning to discover SrFeO3-δ-based perovskites for chemical-looping applications
Cell Reports Physical Science · 2024
Ali Ramazani, Brett A. Duell, Eric J. Popczun, Sittichai Natesakhawat, Tarak Nandi, Jonathan W. Lekse, Yuhua Duan
Read original paper ↗ ·Machine learning as a characterization method for analysis and design of perovskite solar cells
Materials Today Physics · 2024
Yiming Liu, Xinyu Tan, Peng Xiang, Yibo Tu, Tianxiang Shao, Yue Zang, Xiong Li, Wensheng Yan
Read original paper ↗ ·From Powder Manufacturing to Perovskite/p-type TCO Thin Film Deposition
JOM · 2024
Youssouf Doumbia, Amal Bouich, Abdoulaye Touré, Júlia Marí-Guaita, Bernabé Marí Soucase, Donafologo Soro
Read original paper ↗ ·Perovskite Multiple Quantum Well Superlattices: Potentials and Challenges
ACS Energy Letters · 2024
Luke R. W. White, Felix Utama Kosasih, Matthew Sherburne, Nripan Mathews, Subodh G. Mhaisalkar, Annalisa Bruno
Read original paper ↗ ·Perspectives on Development of Optoelectronic Materials in Artificial Intelligence Age
Chemistry - An Asian Journal · 2024
Ting Yuan, Xianzhi Song, Yuxin Shi, Shuyan Wei, Yuyi Han, Linjuan Yang, Yang Zhang, Xiaohong Li, Yunchao Li, Lin Shen, Louzhen Fan
Read original paper ↗ ·High-Throughput Ensemble-Learning-Driven Band Gap Prediction of Double Perovskites Solar Cells Absorber
Machine Learning and Knowledge Extraction · 2024
Sabrina Djeradi, Tahar Dahame, Mohamed Abdelilah Fadla, Bachir Bentria, Mohammed Benali Kanoun, Souraya Goumri‐Said
Read original paper ↗ ·Investigating inorganic perovskite as absorber materials in perovskite solar cells: machine learning analysis and optimization
Physica Scripta · 2024
Nikhil Shrivastav, Jaya Madan, M. Khalid Hossain, Mustafa K. A. Mohammed, Dip Prakash Samajdar, Sagar Bhattarai, Rahul Pandey
Read original paper ↗ ·Phase Transitions and Dynamics in Mixed Three- and Low-Dimensional Lead Halide Perovskites
Chemical Reviews · 2024
Mantas Šimėnas, Anna Gągor, J. Banys, Mirosław Mączka
Read original paper ↗ ·Prediction of collector flotation performance based on machine learning and quantum chemistry: A case of sulfide minerals
Separation and Purification Technology · 2024
Wanjia Zhang, Wei Sun, Mengjun Zheng, Shihong Xu, Renji Zheng, Jian Cao, Xin Jin, Zhiyong Gao, Zhitao Feng
Read original paper ↗ ·Data-driven visualization of the dynamics of machine learning in materials research
Journal of Cleaner Production · 2024
Zhiwei Ye, Jialing Li, Wenjun Wang, Fanzhi Qin, Keteng Li, Hao Tan, Chen Zhang
Read original paper ↗ ·Plasmon-Enhanced Perovskite Photocatalysts for CO2 Reduction: A Mini Review
Energy & Fuels · 2024
Xu Liu, Xuechen Jing, Ruhan Liu, Peiqi Guo, Zongyou Yin
Read original paper ↗ ·Prediction of Efficiency for KSnI3 Perovskite Solar Cells Using Supervised Machine Learning Algorithms
Journal of Electronic Materials · 2024
Grishma Pindolia, Satyam Shinde
Read original paper ↗ ·Machine Learning Regression Analyses of Intensity Modulation Two-Photon Microscopy (ml-IM2PM) in Perovskite Microcrystals
ACS Photonics · 2024
Qi Shi, Tõnu Pullerits
Read original paper ↗ ·Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells
ACS Energy Letters · 2024
Ioannis Kouroudis, Kenedy Tabah Tanko, Masoud Karimipour, Aziz Ben Ali, D. Kishore Kumar, Vediappan Sudhakar, Ritesh Kant Gupta, Iris Visoly‐Fisher, Mónica Lira‐Cantú, Alessio Gagliardi
Read original paper ↗ ·Machine learning assisted prediction of the phonon cutoff frequency of ABO3 perovskite materials
Computational Materials Science · 2024
Gong Chen, Jian Liu, Siqi Dai, Hua Hao, Hanxing Liu
Read original paper ↗ ·Rubidium based new lead free high performance perovskite solar cells with SnS2 as an electron transport layer
Materials Today Communications · 2024
Md. Selim Reza, Md. Ferdous Rahman, Md. Shamim Reza, Md. Rasidul Islam, U. Rehman, Aijaz Rasool Chaudhry, Ahmad Irfan
Read original paper ↗ ·Machine learning for CO 2 capture and conversion: A review
Energy and AI · 2024
Sung Eun Jerng, Yang Jeong Park, Ju Li
Read original paper ↗ ·A Review of Synthesis and Novel Transport Properties of Multivalent Manganate Perovskite: Progress, Opportunities, and Challenges
Advanced Electronic Materials · 2024
Shouhua Feng, Yaowen Zhang, Hongwei Hou, Chunxia Wen, Xuanchen Dong, Wenshu Shi, Ruike Lv, Meichun Fu, Junwei Liu, Jiajun Lu, Longhui Duan, Mei Han, Beining Zheng, Lu Gao
Read original paper ↗ ·Machine Learning Approach for Predicting the Hole Mobility of the Perovskite Solar Cells
Advanced Theory and Simulations · 2024
Md Al Mamunur Rashid, Seul Lee, Kwang Ho Kim, Jaeoh Kim, Keunhong Jeong
Read original paper ↗ ·Optimizing the Synthesis Parameters of Double Perovskites with Machine Learning Using a Multioutput Regression Model
The Journal of Physical Chemistry C · 2024
Tatiane Pretto, Fábio Baum, Rogério Almeida Gouvêa, Alexandre G. Brolo, Marcos J. L. Santos
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
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
Xiaoyan Yang, Alberto José Fernández-Carrión, Xinyue Geng, Xiaojun Kuang
Read original paper ↗ ·Machine-Learning-Driven High-Throughput Screening for High-Energy Density and Stable NASICON Cathodes
ACS Applied Materials & Interfaces · 2024
Jinyoung Jeong, Juo Kim, Jiwon Sun, Kyoungmin Min
Read original paper ↗ ·Measurement of information content of Perovskite solar cell’s synthesis descriptors related to performance parameters
Emergent Materials · 2024
J. D. Vélez, Mónica Andrea Botero Londoño, Alexander Sepúlveda
Read original paper ↗ ·Augmenting large language models with chemistry tools
Nature Machine Intelligence · 2024
Andres M Bran, Sam Cox, Oliver Tobias Schilter, Carlo Baldassari, Andrew Dickson White, Philippe Schwaller
Read original paper ↗ ·OPTIMIZATION OF THE PEROVSKITE SOLAR CELL STRUCTURE
Information and communication technologies electronic engineering · 2024
N. Kuzyk, Stepan Kutsiy
Read original paper ↗ ·Electrochemical energy conversion and storage processes with machine learning
Trends in Chemistry · 2024
Jihyeon Park, Jaeyoung Lee
Read original paper ↗ ·Unveiling Stability Factors in Sn(II)-Containing Oxides: Discovery of a Polar Tin Titanate and Photocatalytic Activity for Overall Water Splitting
Chemistry of Materials · 2024
Eric A. Gabilondo, Shaun O’Donnell, Subhendu Jana, Rachel Broughton, Mingli Liang, Aylin Koldemir, Jack Reichling, Carson Campbell, P. Shiv Halasyamani, Rainer Pöttgen, Jacob L. Jones, Paul A. Maggard
Read original paper ↗ ·AI-Powered Knowledge Base Enables Transparent Prediction of Nanozyme Multiple Catalytic Activity
The Journal of Physical Chemistry Letters · 2024
Julia Razlivina, Andrei Dmitrenko, Vladimir V. Vinogradov
Read original paper ↗ ·Unraveling the Correlation between the Interface Structures and Tunable Magnetic Properties of La1–xSrxCoO3−δ/La1–xSrxMnO3−δ Bilayers Using Deep Learning Models
ACS Applied Materials & Interfaces · 2024
Hong Sun, Vincenzo Lordi, Yayoi Takamura, Amit Samanta
Read original paper ↗ ·High Glass Transition Temperature Fluorinated Polymers Based on Transfer Learning with Small Experimental Data
Macromolecular Rapid Communications · 2024
Jin‐Hoon Yang, Jiyoung Lee, Hajin Kwon, Eun‐Ho Sohn, Hyunju Chang, Seunghun Jang
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
Soundous Touati, Ali Benghia, Zoulikha Hebboul, Ibn Khaldoun Lefkaier, Mohammed Benali Kanoun, Souraya Goumri‐Said
Read original paper ↗ ·Machine‐Learning‐Assisted Discovery of Mechanosynthesized Lead‐Free Metal Halide Perovskites for the Oxidative Photocatalytic Cleavage of Alkenes
Advanced Science · 2024
Yonghao Xiao, Khokan Choudhuri, Adisak Thanetchaiyakup, Wei Xin Chan, Xinwen Hu, Mansour Sadek, Ying Hern Tam, Ryan Guanying Loh, Sharifah Nadhirah Binte Shaik Mohammed, Kendric Jian Ying Lim, Ju Zheng Ten, Felipe Garcı́a, Vijila Chellappan, Tej Salil Choksi, Yee‐Fun Lim, Han Sen Soo
Read original paper ↗ ·Predicting photovoltaic parameters of perovskite solar cells using machine learning
Journal of Physics Condensed Matter · 2024
Hui Zhan, Min Wang, Jialu Chen, Xiang Yin, Yunliang Yue, Jing Lu
Read original paper ↗ ·Machine learning-based screening of two-dimensional perovskite organic spacers
Advanced Composites and Hybrid Materials · 2024
Yongxiang Mai, Jianyao Tang, Haogang Meng, Xiaohui Li, Meiyue Liu, Chen Zeng, Putao Zhang, Shengjun Li
Read original paper ↗ ·Machine learning guided efficiency improvement for Sn‐based perovskite solar cells with efficiency exceeding 20%
Rare Metals · 2024
Weiyin Gao, Chenxin Ran, Liang Zhao, He Dong, Wang‐Yue Li, Zhao-Qi Gao, Yingdong Xia, Hai Huang, Yonghua Chen
Read original paper ↗ ·Assessment of Bayesian guidance strategy to develop bake-hardening ferritic steel
Philosophical Magazine Letters · 2024
Rajdeep Sarkar, Shiv Brat Singh, Amlan Dutta
Read original paper ↗ ·Studying the Thermodynamic Phase Stability of Organic–Inorganic Hybrid Perovskites Using Machine Learning
Molecules · 2024
Juan Wang, Xinzhong Wang, Shun Feng, Zongcheng Miao
Read original paper ↗ ·Machine learning studies for magnetic compositionally complex alloys: A critical review
Progress in Materials Science · 2024
Xin Li, C.H. Shek, Peter Kaehuei Liaw, Guangcun Shan
Read original paper ↗ ·Machine learning-assisted prediction of the electronic features of a Schottky diode interlaid with PVP:BaTiO3 composite
Physica Scripta · 2024
Yashar Azizian‐Kalandaragh, Ali Barkhordari, Süleyman Özçelik, Ş. Altındal
Read original paper ↗ ·The mastery of details in the workflow of materials machine learning
npj Computational Materials · 2024
Yingying Ma, Pengcheng Xu, Minjie Li, Xiaobo Ji, Wenyue Zhao, Wencong Lu
Read original paper ↗ ·Prediction and Interpretability Study of the Glass Transition Temperature of Polyimide Based on Machine Learning with Quantitative Structure–Property Relationship ( T g -QSPR)
The Journal of Physical Chemistry B · 2024
Tianyong Zhang, Suisui Wang, Yamei Chai, Jianing Yu, Wenxuan Zhu, Liang Li, Bin Li
Read original paper ↗ ·Advanced prediction of perovskite stability for solar energy using machine learning
Solar Energy · 2024
G. Sudha Priyanga, Santosh Sampath, P.V. Shravan, R.N. Sujith, Akhtar Javeed, G. Latha
Read original paper ↗ ·Local-distortion-informed exceptional multicomponent transition-metal carbides uncovered by machine learning
npj Computational Materials · 2024
Jun Zhang, He Liu, Yaoxu Xiong, Shasha Huang, Biao Xu, Shihua Ma, Xuepeng Xiang, Haijun Fu, Ji‐Jung Kai, Zhenggang Wu, Shijun Zhao
Read original paper ↗ ·Accelerated discovery of perovskite solid solutions through automated materials synthesis and characterization
Nature Communications · 2024
Mojan Omidvar, Hangfeng Zhang, Achintha Avin Ihalage, Theo Saunders, Henry Giddens, Derek Michael Forrester, Sajad Haq, Yang Hao
Read original paper ↗ ·Performance prediction and analysis of perovskite solar cells using machine learning
Journal of Alloys and Compounds Communications · 2024
Debmalya Sadhu, Devansh Dattatreya, Arjun Deo, Kartick Tarafder, Debasis De
Read original paper ↗ ·