Papers citing A review of the recent progress in battery informatics
Crystallography of Active Particles Defining Battery Electrochemistry
Advanced Energy Materials · 2023
John Donald Morley, Chandramohan George, Kathryn Hadler, Pablo R. Brito‐Parada
Read original paper ↗ ·Autonomous millimeter scale high throughput battery research system
Digital Discovery · 2024
Fuzhan Rahmanian, Stefan Fuchs, Bojing Zhang, Maximilian Fichtner, Helge Sören Stein
Read original paper ↗ ·Computer vision enabled high-quality electrochemical experimentation
Digital Discovery · 2024
Keiichi Okubo, Jaydeep Thik, Tomoya Yamaguchi, Chen Ling
Read original paper ↗ ·Design of Biomaterials Using Informatics
Springer eBooks · 2024
Tomohiro Hayashi
Read original paper ↗ ·Expediting Ionic Conductivity Prediction of Solid-State Battery Electrodes Using Machine Learning
IEEE journal on multiscale and multiphysics computational techniques · 2024
Mai Le, Alan Yao, A. Boen Zhang, Hieu Trung Le, Zhaoyang Chen, Xuqing Wu, Lihong Zhao, Jiefu Chen
Read original paper ↗ ·Integrated electro- and chemical characterization of sulfide-based solid-state electrolytes
Materials Advances · 2024
Yuanshun Li, Michelle L. Lehmann, Lei Cheng, Thomas A. Zawodzinski, Jagjit Nanda, Guang Hua Yang
Read original paper ↗ ·Nanoscale Modelling of Substitutional Disorder in Battery Materials
Topics in applied physics · 2024
Alex Aziz, Oier Arcelus, A. Gallo‐Bueno, Andrey A. Golov, Oier Lakuntza, Javier Carrasco
Read original paper ↗ ·Rational Design of Battery Materials Through Spectroscopic Characterization and Computational Modeling of Redox Orbitals
Topics in applied physics · 2024
Kosuke Suzuki, Hasnain Hafiz, Veenavee Nipunika Kothalawala, B. Barbiellini, Hiroshi Sakurai, Arun Bansil
Read original paper ↗ ·Rational electrolyte design for Li-metal batteries operated under extreme conditions: a combined DFT, COSMO-RS, and machine learning study
Journal of Materials Chemistry A · 2024
Liang‐Ting Wu, Yu-Ting Zhan, Zhong-Lun Li, Po-Ting Chen, Bing‐Joe Hwang, Jyh‐Chiang Jiang
Read original paper ↗ ·Unravelling air/moisture stability of cathode materials in sodium ion batteries: characterization, rational design, and perspectives
Energy & Environmental Science · 2024
Shipeng Jia, Shinichi Kumakura, Eric McCalla
Read original paper ↗ ·XRDMatch: a semi-supervised learning framework to efficiently discover room temperature lithium superionic conductors
Energy & Environmental Science · 2024
Zheng Wan, Zhenying Chen, Hao Chen, Yizhi Jiang, Jinhuan Zhang, Yidong Wang, Jindong Wang, Hao Sun, Zhongjie Zhu, Jinhui Zhu, Linyi Yang, Wei Ye, Shikun Zhang, Xing Xie, Yue Zhang, Xiaodong Zhuang, Xiao Dong He, Jinrong Yang
Read original paper ↗ ·Size dependent lithium-ion conductivity of solid electrolytes in machine learning molecular dynamics simulations
Artificial Intelligence Chemistry · 2024
Yixi Zhang, Jin‐Da Luo, Hong‐Bin Yao, Bin Jiang
Read original paper ↗ ·Bi-LSTM, GRU and 1D-CNN models for short-term photovoltaic panel efficiency forecasting case amorphous silicon grid-connected PV system
Results in Engineering · 2024
Abdellatif Ait Mansour, Amine Tilioua, Mohammed Touzani
Read original paper ↗ ·Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning
Computers & Chemical Engineering · 2024
Alireza Valizadeh, Mohammad Hossein Amirhosseini, Yousef Ghorbani
Read original paper ↗ ·Expanding the Applicability Domain of Machine Learning Model for Advancements in Electrochemical Material Discovery
ChemElectroChem · 2024
Kajjana Boonpalit, Jiramet Kinchagawat, Supawadee Namuangruk
Read original paper ↗ ·Designing the next generation of symmetrical organic redox flow batteries using helical carbocations
Energy Materials · 2024
Jules Moutet, Tarek H. El‐Assaad, Ramandeep Kaur, David D. Mills, Thomas L. Gianetti
Read original paper ↗ ·Recent advances in functional materials and devices for Zn-Ion hybrid supercapacitors
NPG Asia Materials · 2024
Weijia Fan, Faxing Wang, Xiaosong Xiong, Bingyan Song, Tao Wang, Xin‐Bing Cheng, Zhigang Zhu, Jiarui He, Yankai Liu, Yuping Wu
Read original paper ↗ ·A document-level information extraction pipeline for layered cathode materials for sodium-ion batteries
Scientific Data · 2024
Yuxiao Gou, Yiping Zhang, Jian Zhu, Yidan Shu
Read original paper ↗ ·State-of-charge estimation of lithium-ion battery: Joint long short-term memory network and adaptive extended Kalman filter online estimation algorithm
Journal of Power Sources · 2024
Hongyu Zhao, Chenglin Liao, Chengzhong Zhang, Liye Wang, Lifang Wang
Read original paper ↗ ·Exploring solvation structure and transport behavior for rational design of advanced electrolytes for next generation of lithium batteries
Applied Physics Reviews · 2024
Xiaozhao Liu, Volodymyr A. Koverga, Thi Thu Hoai Nguyen, Anh T. Ngo, Tao Li
Read original paper ↗ ·ESM Cloud Toolkit: A Copilot for Energy Storage Material Research
Chinese Physics Letters · 2024
Jing 晶 Xu 许, Ruijuan 睿娟 Xiao 肖, Hong 泓 Li 李
Read original paper ↗ ·End-to-End High-Throughput Approach for Data-Driven Internal Donor Development in Heterogeneous Ziegler–Natta Propylene Polymerization
ACS Catalysis · 2024
Toshiaki Taniike, Felicia Daniela Cannavacciuolo, Mostafa Khoshsefat, Diego De Canditiis, Giuseppe Antinucci, Patchanee Chammingkwan, Roberta Cipullo, Vincenzo Busico
Read original paper ↗ ·Deep machine learning approaches for battery health monitoring
Energy · 2024
Sanjeev Kumar Singh, P. R. Budarapu
Read original paper ↗ ·Attention towards chemistry agnostic and explainable battery lifetime prediction
npj Computational Materials · 2024
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, Kathrin Michel, Leon Merker, Balázs B. Berkes, Leah Nuss, Helge Sören Stein
Read original paper ↗ ·Machine learning in energy storage material discovery and performance prediction
Chemical Engineering Journal · 2024
Guochang Huang, Fuqiang Huang, Wujie Dong
Read original paper ↗ ·A guide to discovering next-generation semiconductor materials using atomistic simulations and machine learning
Computational Materials Science · 2024
Arun Mannodi‐Kanakkithodi
Read original paper ↗ ·State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges
Applied Energy · 2024
S Vignesh, Hang Seng, Jeyraj A-L Selvaraj, Kok Soon Tey, Jia Woon Lee, Hussain Shareef, Rachid Errouissi
Read original paper ↗ ·Applications of machine‐learning interatomic potentials for modeling ceramics, glass, and electrolytes: A review
Journal of the American Ceramic Society · 2024
Shingo Urata, Marco Bertani, Alfonso Pedone
Read original paper ↗ ·Machine Learning Orchestrating the Materials Discovery and Performance Optimization of Redox Flow Battery
ChemElectroChem · 2024
Lina Tang, Puiki Leung, Qian Feng Xu, Cristina Flox
Read original paper ↗ ·Investigating the influence of oxygen-functionalized graphene nanosheets as an efficient multifunctional material for supercapacitor and electrocatalytic water splitting applications
Diamond and Related Materials · 2024
G. Karthik, Pitcheri Rosaiah, Munirah D. Albaqami, Guru Prakash Nunna, Tae Jo Ko
Read original paper ↗ ·Machine learning for full lifecycle management of lithium-ion batteries
Renewable and Sustainable Energy Reviews · 2024
Qiangxiang Zhai, Hongmin Jiang, Nengbing Long, Qiaoling Kang, Xianhe Meng, Mingjiong Zhou, Lijing Yan, Tingli Ma
Read original paper ↗ ·Addressing the Accuracy-Cost Trade-off in Material Property Prediction Using a Teacher-Student Strategy
Journal of Chemical Theory and Computation · 2024
D D Zhu, Zhikuang Xin, Siming Zheng, Yangang Wang, Xiaoyu Yang
Read original paper ↗ ·Tuning Excitonic Properties of Monochalcogenides via Design of Janus Structures
The Journal of Physical Chemistry C · 2024
Mateus B. P. Querne, Alexandre Cavalheiro Dias, Anderson Janotti, Juarez L. F. Da Silva, Matheus Paes Lima
Read original paper ↗ ·Versatile Deep Learning Pipeline for Transferable Chemical Data Extraction
Journal of Chemical Information and Modeling · 2024
Abdulelah S. Alshehri, Kai A. Horstmann, Fengqi You
Read original paper ↗ ·Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends
SN Computer Science · 2024
Alireza Valizadeh, Mohammad Hossein Amirhosseini
Read original paper ↗ ·Experimental Exploration of Cellulose Material for Battery Separators and Artificial Neural Network-Driven Predictive Modeling for Enhanced Thermal Safety in Electric Vehicles
Journal of Thermal Science and Engineering Applications · 2024
Melkam Gebeyehu Fetene, Dereje Arijamo Dolla, Chin-Cheng Wang, James K. Varkey, Santosh Chavan, Sung Chul Kim
Read original paper ↗ ·Unsupervised learning of charge-discharge cycles from various lithium-ion battery cells to visualize dataset characteristics and to interpret model performance
Energy and AI · 2024
Akihiro Yamashita, Sascha Berg, Egbert Figgemeier
Read original paper ↗ ·Self-Driving Laboratories for Chemistry and Materials Science
Chemical Reviews · 2024
Gary Tom, Stefan P. Schmid, Sterling G. Baird, Yang Cao, Kourosh Darvish, Han Hao, Stanley Lo, Sergio Pablo‐García, Ella Miray Rajaonson, Marta Skreta, Naruki Yoshikawa, Samantha Corapi, Gun Deniz Akkoc, Felix Strieth‐Kalthoff, Martin T. Seifrid, Alán Aspuru‐Guzik
Read original paper ↗ ·Fostering Li-ion conduction in Zr-Sn-Al-based mid-entropy NASICON electrolyte
Ceramics International · 2024
Pratiksha Gami, Asish Kumar Das, Manish Badole, Hari Narayanan Vasavan, Samriddhi Saxena, Neha Dagar, Sonia Deswal, Pradeep Kumar, Pradeep Kumar, Abhilash Dwivedi, Himanshu Kumar Poswal, Sunil Kumar
Read original paper ↗ ·The ARTISTIC Battery Manufacturing Digitalization Initiative: From Fundamental Research to Industrialization
Batteries & Supercaps · 2024
Javier F. Troncoso, Franco M. Zanotto, Diego Eduardo Galvez-Aranda, Diana Zapata Dominguez, Lucie Denisart, Alejandro A. Franco
Read original paper ↗ ·Deep learning from three-dimensional lithium-ion battery multiphysics model part I: Data development
Energy and AI · 2024
Yiheng Pang, Yun Wang, Zhiqiang Niu
Read original paper ↗ ·Toward high performance all-solid-state lithium or sodium metal batteries: Potential application on Li/Na-rich antiperovskites (LiRAPs/NaRAPs) electrolyte for energy storage
Energy storage materials · 2024
Xiaolong Bi, Wenning Mu, Junjin Meng, Yifan Huang, Xuefei Lei, Qing Wang, Shaohua Luo
Read original paper ↗ ·A universal strategy of multi-objective active learning to accelerate the discovery of organic electrode molecules
Science China Chemistry · 2024
Jiayi Du, Jun Guo, Wei Liu, Ziwei Li, Gang Huang, Xinbo Zhang
Read original paper ↗ ·Data refinement for enhanced ionic conductivity prediction in garnet-type solid-state electrolytes
Solid State Ionics · 2024
Zakaria Kharbouch, Mustapha Bouchaara, Fadila El Kouihen, Abderrahmane Habbal, Ahmed Ratnani, Abdessamad Faik
Read original paper ↗ ·A comprehensive review, perspectives and future directions of battery characterization and parameter estimation
Journal of Applied Electrochemistry · 2024
Tasadeek Hassan Dar, Satyavir Singh
Read original paper ↗ ·Machine learning to support prospective life cycle assessment of emerging chemical technologies
Current Opinion in Green and Sustainable Chemistry · 2024
Carlos Felipe Blanco, Nils Pauliks, F. Donati, Niklas Engberg, Jana M. Weber
Read original paper ↗ ·A synthetic data generation method and evolutionary transformer model for degradation trajectory prediction in lithium-ion batteries
Applied Energy · 2024
Haiyan Jin, Rui Ru, Lei Cai, Jinhao Meng, Bin Wang, Jichang Peng, Shengxiang Yang
Read original paper ↗ ·Machine-Learning-Assisted Materials Discovery from Electronic Band Structure
Journal of Chemical Information and Modeling · 2024
Prashant Sinha, Ablokit Joshi, Rik Dey, Shikhar Misra
Read original paper ↗ ·Machine Learning-Assisted Bayesian Optimization for the Discovery of Effective Additives for Dendrite Suppression in Lithium Metal Batteries
ACS Applied Materials & Interfaces · 2024
Damien Khai Jie Lee, Teck Leong Tan, Man‐Fai Ng
Read original paper ↗ ·A comparative analysis of the influence of data-processing on battery health prediction by two machine learning algorithms
Journal of Energy Storage · 2024
Meghana Sudarshan, Ritesh Gautam, Mahavir Singh, R. Edwin Garcı́a, Vikas Tomar
Read original paper ↗ ·