Papers citing A Critical Review of Machine Learning of Energy Materials
Discovery of Lead-Free Hybrid Organic/Inorganic Perovskites Using Metaheuristic-Driven DFT Calculations
Chemistry of Materials · 2021-01-12
Byung Do Lee, Woon Bae Park, Jin-Woong Lee, Minseuk Kim, Myoungho Pyo, Kee‐Sun Sohn
Read original paper ↗ ·Data-driven enhancement of cubic phase stability in mixed-cation perovskites
Machine Learning Science and Technology · 2021-01-14
Heesoo Park, Adnan Ali, Raghvendra Mall, Halima Bensmail, Stefano Sanvito, Fedwa El‐Mellouhi
Read original paper ↗ ·Machine learning for advanced energy materials
Energy and AI · 2021-01-24
Liu Yun, Oladapo Christopher Esan, Zhefei Pan, Liang An
Read original paper ↗ ·Machine learning for perovskite materials design and discovery
npj Computational Materials · 2021-01-29
Qiuling Tao, Pengcheng Xu, Minjie Li, Wencong Lu
Read original paper ↗ ·Predicting adsorption ability of adsorbents at arbitrary sites for pollutants using deep transfer learning
npj Computational Materials · 2021-01-29
Zhilong Wang, Haikuo Zhang, Jiahao Ren, Xirong Lin, Tianli Han, Jinyun Liu, Jinjin Li
Read original paper ↗ ·What Can Text Mining Tell Us About Lithium‐Ion Battery Researchers’ Habits?
Batteries & Supercaps · 2021-01-29
Hassna El‐Bousiydy, Teo Lombardo, Emiliano N. Primo, Marc Duquesnoy, Mathieu Morcrette, Patrik Johansson, Patrice Simon, Alexis Grimaud, Alejandro A. Franco
Read original paper ↗ ·Machine learning for design of thin-film nanocomposite membranes
Separation and Purification Technology · 2021-02-03
Masoud Fetanat, Mohammadali Keshtiara, Ramazan Keyikoğlu, Alireza Khataee, Rahman Daiyan, Amir Razmjou
Read original paper ↗ ·Materials discovery through machine learning formation energy
Journal of Physics Energy · 2021-02-09
Gordon G. C. Peterson, Jakoah Brgoch
Read original paper ↗ ·Machine learning aided design of perovskite oxide materials for photocatalytic water splitting
Journal of Energy Chemistry · 2021-02-10
Qiuling Tao, Tian Lu, Sheng Ye, Long Li, Wencong Lu, Minjie Li
Read original paper ↗ ·Modeling of Alloying Effect on Isothermal Transformation: A Case Study for Pearlitic Steel
Advanced Engineering Materials · 2021-02-10
Ling Qiao, Jingchuan Zhu, Yuan Wang
Read original paper ↗ ·Machine learning approach for the prediction and optimization of thermal transport properties
Frontiers of Physics · 2021-02-11
Yulou Ouyang, Cuiqian Yu, Gang Feng Yan, Jie Chen
Read original paper ↗ ·Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration
ACS Nano · 2021-02-12
Seungbum Hong, Chi Hao Liow, Jong Min Yuk, Hye Ryung Byon, Yongsoo Yang, EunAe Cho, Jiwon Yeom, Gun Park, Hyeonmuk Kang, Seung-Gu Kim, Yoonsu Shim, Moony Na, Chaehwa Jeong, Gyuseong Hwang, Hongjun Kim, Hoon Kim, Seongmun Eom, Seongwoo Cho, Hosun Jun, Yongju Lee, Arthur Baucour, Kihoon Bang, Myungjoon Kim, Seokjung Yun, Jeongjae Ryu, Youngjoon Han, Albina Jetybayeva, Pyuck‐Pa Choi, Joshua Agar, Sergei V. Kalinin, Peter W. Voorhees, P. B. Littlewood, Hyuck Mo Lee
Read original paper ↗ ·Review on the Use of Artificial Intelligence to Predict Fire Performance of Construction Materials and Their Flame Retardancy
Molecules · 2021-02-15
Hoang T. Nguyen, Kate Thuy Quynh Nguyen, Tu C. Le, Guomin Zhang
Read original paper ↗ ·TMtopo Dataset — Quantum Geometries and Density Topology for 1.1k Transition Metal Complexes
ChemRxiv · 2021-02-24
Filipe Teixeira, Edgar Silva-Santos, M. Natália D. S. Cordeiro
Read original paper ↗ ·TMtopo Dataset — Quantum Geometries and Density Topology for 1.1k Transition Metal Complexes
ChemRxiv · 2021-02-25
Filipe B. Teixeira, Edgar Silva-Santos, M. Natália D. S. Cordeiro
Read original paper ↗ ·Machine Learning‐Aided Crystal Facet Rational Design with Ionic Liquid Controllable Synthesis
Small · 2021-03-01
Fuming Lai, Zhehao Sun, Sandra Elizabeth Saji, Yichuan He, Xue‐Feng Yu, Haitao Zhao, Haibo Guo, Zongyou Yin
Read original paper ↗ ·Molecular design and performance improvement in organic solar cells guided by high‐throughput screening and machine learning
Nano Select · 2021-03-16
Jie Feng, Hongshuai Wang, Youyong Li, Youyong Li
Read original paper ↗ ·Machine Learning for Advanced Design of Nanocomposite Ultrafiltration Membranes
Industrial & Engineering Chemistry Research · 2021-03-31
Masoud Fetanat, Mohammadali Keshtiara, Ze-Xian Nicholas Low, Ramazan Keyikoğlu, Alireza Khataee, Yasin Orooji, Vicki Chen, Leslie Gregory, Amir Razmjou
Read original paper ↗ ·Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning
ACS Energy Letters · 2021-04-01
Yu‐Ting Chen, Marc Duquesnoy, Darren H. S. Tan, Jean‐Marie Doux, Hedi Yang, Grayson Deysher, Phillip Ridley, Alejandro A. Franco, Ying Shirley Meng, Zheng Chen
Read original paper ↗ ·Machine learning the quantum-chemical properties of metal–organic frameworks for accelerated materials discovery
Matter · 2021-04-05
Andrew Rosen, Shaelyn M. Iyer, Debmalya Ray, Zhenpeng Yao, Alán Aspuru‐Guzik, Laura Gagliardi, Justin M. Notestein, Randall Q. Snurr
Read original paper ↗ ·Composition-tuned lithium aluminosilicate as a new humidity-sensing ceramic material with high sensitivity
Sensors and Actuators B Chemical · 2021-04-08
Sung-Geun Lee, Jung Yong Seo, Jin-Woong Lee, Woon Bae Park, Kee‐Sun Sohn, Myoungho Pyo
Read original paper ↗ ·Deep learning for ultra-fast and high precision screening of energy materials
Energy storage materials · 2021-04-08
Zhilong Wang, Qingxun Wang, Yanqiang Han, Ma Yan, Hua Zhao, Andrzej P. Nowak, Jinjin Li
Read original paper ↗ ·Guiding the Design of Heterogeneous Electrode Microstructures for Li‐Ion Batteries: Microscopic Imaging, Predictive Modeling, and Machine Learning
Advanced Energy Materials · 2021-04-08
Hongyi Xu, Juner Zhu, Donal P. Finegan, Hongbo Zhao, Xuekun Lu, Wei Li, Nathaniel Hoffman, Antonio Bertei, Paul Robert Shearing, Martin Z. Bazant
Read original paper ↗ ·Using Physical Parameters for Phase Prediction of Multi-Component Alloys by the Help of TensorFlow Machine Learning with Limited DataUsing Physical Parameters for Phase Prediction of Multi-Component Alloys by the Help of TensorFlow Machine Learning with Limited Data
Sakarya University Journal of Science · 2021-04-28
Kağan Şarlar
Read original paper ↗ ·Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation
Journal of Chemical Information and Modeling · 2021-04-29
Çiğdem Altıntaş, Ömer Faruk Altundal, Seda Keskın, Ramazan Yıldırım
Read original paper ↗ ·Machine learning of materials design and state prediction for lithium ion batteries
Chinese Journal of Chemical Engineering · 2021-05-01
Jiale Mao, Jiazhi Miao, Yingying Lü, Zheming Tong
Read original paper ↗ ·Open Catalyst 2020 (OC20) Dataset and Community Challenges
ACS Catalysis · 2021-05-04
Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Rivière, Kevin Tran, Javier Heras‐Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi
Read original paper ↗ ·Machine Learning in Magnetic Materials
physica status solidi (b) · 2021-05-05
Georgios Katsikas, C. Sarafidis, Joseph Kioseoglou
Read original paper ↗ ·Algorithmically extracted morphology descriptions for predicting device performance
Computational Materials Science · 2021-05-25
Wesley K. Tatum, Diego Torrejon, Anton B. Resing, Jonathan W. Onorato, Christine Keiko Luscombe
Read original paper ↗ ·Materials informatics for discovery of ion conductive ceramics for batteries
Journal of the Ceramic Society of Japan · 2021-05-31
Masanobu Nakayama
Read original paper ↗ ·Benchmarking graph neural networks for materials chemistry
npj Computational Materials · 2021-06-03
Victor Fung, Jiaxin Zhang, Eric Juarez, Bobby G. Sumpter
Read original paper ↗ ·Structure and Dynamics of Energy Materials from Machine Learning Simulations: A Topical Review†
Chinese Journal of Chemistry · 2021-06-16
Shuhui Guan, Cheng Shang, Zhi‐Pan Liu
Read original paper ↗ ·Prediction of future capacity and internal resistance of Li-ion cells from one cycle of input data
Energy and AI · 2021-06-26
Calum Strange, Gonçalo dos Reis
Read original paper ↗ ·Computational discovery of energy materials in the era of big data and machine learning: A critical review
Materials Reports Energy · 2021-06-28
Ziheng Lu
Read original paper ↗ ·The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning
Cell Reports Physical Science · 2021-06-30
Hang Yin, Zhehao Sun, Zhuo Wang, Dawei Tang, Cheng Heng Pang, Xue‐Feng Yu, Amanda Susan Barnard, Haitao Zhao, Zongyou Yin
Read original paper ↗ ·Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale
Angewandte Chemie International Edition · 2021-07-01
Xiang Chen, Xinyan Liu, Xin Pu Shen, Qiang Zhang
Read original paper ↗ ·Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale
Angewandte Chemie · 2021-07-01
Xiang Chen, Xinyan Liu, Xin Pu Shen, Qiang Zhang
Read original paper ↗ ·Catalyze Materials Science with Machine Learning
ACS Materials Letters · 2021-07-02
Jaehyun Kim, Donghoon Kang, Sang‐Bum Kim, Ho Won Jang
Read original paper ↗ ·Applying machine learning for predicting thermal conductivity coefficient of polymeric aerogels
Journal of Thermal Analysis and Calorimetry · 2021-07-04
Babak Valipour Goodarzi, Ahmad Reza Bahramian
Read original paper ↗ ·Integration of data-intensive, machine learning and robotic experimental approaches for accelerated discovery of catalysts in renewable energy-related reactions
Materials Reports Energy · 2021-07-05
Oyawale Adetunji Moses, Wei Chen, Mukhtar Lawan Adam, Zhuo Wang, Kaili Liu, Junming Shao, Zhengsheng Li, Wentao Li, Chensu Wang, Haitao Zhao, Cheng Heng Pang, Zongyou Yin, Xue‐Feng Yu
Read original paper ↗ ·Designing polymer nanocomposites with high energy density using machine learning
npj Computational Materials · 2021-07-16
Zhonghui Shen, Zhiwei Bao, Xiaoxing Cheng, Bao‐Wen Li, Hanxing Liu, Yang Shen, Long‐Qing Chen, Xiaoguang Li, Ce‐Wen Nan
Read original paper ↗ ·A Machine Learning Shortcut for Screening the Spinel Structures of Mg/Zn Ion Battery Cathodes with a High Conductivity and Rapid Ion Kinetics
Energy storage materials · 2021-07-30
Junfei Cai, Zhilong Wang, Sicheng Wu, Yanqiang Han, Jinjin Li
Read original paper ↗ ·Safety modeling and protection for lithium-ion batteries based on artificial neural networks method under mechanical abuse
Science China Technological Sciences · 2021-07-30
Yiding Li, WenWei Wang, Cheng Wu Lin, Zuo Fenghao
Read original paper ↗ ·Kinetic Monte Carlo simulations applied to Li-ion and post Li-ion batteries: a key link in the multi-scale chain
Progress in Energy · 2021-08-03
Edgardo Maximiliano Gavilán-Arriazu, Michael Peter Mercer, Daniel Eugenio Barraco, Harry E. Hoster, Ezequiel P. M. Leiva
Read original paper ↗ ·Machine learning to accelerate screening for Marcus reorganization energies
The Journal of Chemical Physics · 2021-08-03
Omri D. Abarbanel, Geoffrey Hutchison
Read original paper ↗ ·The role of artificial intelligence in the mass adoption of electric vehicles
Joule · 2021-08-11
Moin Ahmed, Yun Hong Zheng, Anna Amine, Hamed Fathiannasab, Zhongwei Chen
Read original paper ↗ ·Machine Learning Roadmap for Perovskite Photovoltaics
The Journal of Physical Chemistry Letters · 2021-08-12
Meghna Srivastava, John M. Howard, Tao Gong, Mariama Rebello Sousa Dias, Marina S. Leite
Read original paper ↗ ·Unsupervised discovery of thin-film photovoltaic materials from unlabeled data
npj Computational Materials · 2021-08-12
Zhilong Wang, Junfei Cai, Qingxun Wang, Sicheng Wu, Jinjin Li
Read original paper ↗ ·Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition
Journal of Chemical Information and Modeling · 2021-08-13
Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Ronaldo Cristiano Prati
Read original paper ↗ ·Energy Consumption and Spatial Assessment of Renewable Energy Penetration and Building Energy Efficiency in Malaysia: A Review
Sustainability · 2021-08-18
Shaban R. S. Aldhshan, Khairul Nizam Abdul Maulud, Wan Shafrina Wan Mohd Jaafar, Othman A. Karim, Biswajeet Pradhan
Read original paper ↗ ·