Papers citing A review of the recent progress in battery informatics
Capacity prediction of K-ion batteries: a machine learning based approach for high throughput screening of electrode materials
Materials Advances · 2022
Souvik Manna, Diptendu Roy, Sandeep Das, Biswarup Pathak
Read original paper ↗ ·Data-driven selection of electrolyte additives for aqueous magnesium batteries
Journal of Materials Chemistry A · 2022
Tim Würger, Linqian Wang, Darya Snihirova, Min Deng, Sviatlana V. Lamaka, David Alan Winkler, Daniel Höche, Mikhail L. Zheludkevich, Robert H. Meißner, Christian Feiler
Read original paper ↗ ·Na superionic conductor-type LiZr 2 (PO 4 ) 3 as a promising solid electrolyte for use in all-solid-state Li metal batteries
Chemical Communications · 2022
Masanobu Nakayama, K. Nakano, Maho Harada, Naoto Tanibata, Hayami Takeda, Yusuke Noda, Ryo Kobayashi, Masayuki Karasuyama, Ichiro Takeuchi, Masashi Kotobuki
Read original paper ↗ ·Process optimisation for NASICON-type solid electrolyte synthesis using a combination of experiments and bayesian optimisation
Materials Advances · 2022
Hayami Takeda, Hiroko Fukuda, K. Nakano, Syogo Hashimura, Naoto Tanibata, Masanobu Nakayama, Yasuharu Ono, Takaaki Natori
Read original paper ↗ ·Informing geometric deep learning with electronic interactions to accelerate quantum chemistry
Proceedings of the National Academy of Sciences · 2022
Zhuoran Qiao, Anders Steen Christensen, Matthew Welborn, Frederick R. Manby, Animashree Anandkumar, Thomas F. Miller
Read original paper ↗ ·Descriptor-Free Design of Multicomponent Catalysts
ACS Catalysis · 2022
Ying Zhang, Torin C. Peck, Gunugunuri K. Reddy, Debasish Banerjee, Hongfei Jia, Charles A. Roberts, Chen Ling
Read original paper ↗ ·Prognosis and Health Management (PHM) of Solid-State Batteries: Perspectives, Challenges, and Opportunities
Energies · 2022
Hamed Sadegh Kouhestani, Xiaoping Yi, Guoqing Qi, Xunliang Liu, Ruimin Wang, Yang Gao, Xiao Lin Yu, Lin Liu
Read original paper ↗ ·Advances and challenges in multiscale characterizations and analyses for battery materials
Journal of materials research/Pratt's guide to venture capital sources · 2022
Matteo Bianchini, Valentina Lacivita, Dong‐Hwa Seo, Haegyeom Kim
Read original paper ↗ ·An adaptive capacity estimation approach for lithium-ion battery using 10-min relaxation voltage within high state of charge range
Energy · 2022
Bo Jiang, Yuli Zhu, Jiangong Zhu, Xuezhe Wei, Haifeng Dai
Read original paper ↗ ·Design of Biocompatible Monolayers and Polymeric Materials using Informatics
Seikei-Kakou · 2022
Tomohiro Hayashi
Read original paper ↗ ·Electrochemoinformatics as an Emerging Scientific Field for Designing Materials and Electrochemical Energy Storage and Conversion Devices—An Application in Battery Science and Technology
Advanced Energy Materials · 2022
Igor I. Baskin, Yair Ein‐Eli
Read original paper ↗ ·Predicting the state parameters of lithium ion batteries: the race between filter-based and data driven approaches
Sustainable Energy & Fuels · 2022
Siddhi Vinayak Pandey, Nishi Parikh, Daniel Prochowicz, Seçkin Akın, Soumitra Satapathi, Mohammad Mahdi Tavakoli, Abul Kalam, Pankaj Yadav
Read original paper ↗ ·MatFlow: A System for Knowledge-based Novel Materials Design using Machine Learning
IEEE International Conference on Big Data (BigData) · 2022
Hasan M. Jamil, Lan Li, Amin Mirkouei
Read original paper ↗ ·Computational and Data-Driven Materials Engineering: High-Throughput Computational Screening Platforms, Workflows, and Discovery Outcomes
Journal of Computational and Data-Driven Materials Engineering · 2023
Hiroshi Nakamura, Yuta Kato
Read original paper ↗ ·Computational and data-driven modelling of solid polymer electrolytes
Digital Discovery · 2023
Kaiyang Wang, Haoyuan Shi, Tianjiao Li, Liming Zhao, Hanfeng Zhai, Deepa Korani, Jingjie Yeo
Read original paper ↗ ·Li 2 ZnTi 3 O 8 anode: design from material to electrode and devices
Inorganic Chemistry Frontiers · 2023
Huanhuan Liu, Xue Zhang, Haoran Xu, Wenzhao Ma, Lijuan Wang, Zhaohui Meng, Fei Wang
Read original paper ↗ ·Machine learning-inspired battery material innovation
Energy Advances · 2023
Man‐Fai Ng, Yongming Sun, Zhi Wei Seh
Read original paper ↗ ·Realizing the cooking recipe of materials synthesis through large language models
Journal of Materials Chemistry A · 2023
Jaydeep Thik, Siwen Wang, Chuhong Wang, Hadi Mansourifar, Honghong Lin, Keiichi Okubo, Chen Ling
Read original paper ↗ ·Solid State Ionics 2011–2021: Trends and Prospects
Russian Journal of Electrochemistry · 2023
Alexey K. Ivanov-Schitz
Read original paper ↗ ·Solid State Ionics 2011–2021: Trends and Prospects
Russian Journal of Electrochemistry · 2023
Alexey K. Ivanov-Schitz
Read original paper ↗ ·Synergistic theoretical and experimental study on the ion dynamics of bis(trifluoromethanesulfonyl)imide-based alkali metal salts for solid polymer electrolytes
Physical Chemistry Chemical Physics · 2023
Brigette Althea Fortuin, Jon Otegi, Juan Miguel López del Amo, Sergio Rodríguez Peña, Leire Meabe, Hegoi Manzano, María Martínez‐Ibáñez, Javier Carrasco
Read original paper ↗ ·A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning
npj Computational Materials · 2023
Cameron J. Hargreaves, Michael W. Gaultois, Matthew J. Rosseinsky, Emma J. Watts, Vitaliy A. Kurlin, Michael J. Moran, Yun Dang, Rhun E. Morris, Alexandra Morscher, Kate Thompson, Matthew A. Wright, Beluvalli E. Prasad, Frédéric Blanc, Chris M. Collins, Catriona A. Crawford, Benjamin B. Duff, Jae A. Evans, Jacinthe Gamon, Guopeng Han, Bernhard T. Leube, Hongjun Niu, Arnaud J. Perez, Aris Robinson, Oliver Rogan, Paul M. Sharp, Elvis Shoko, Manel Sonni, William J. Thomas, Andrij Vasylenko, Lu Wang, Matthew J. Rosseinsky, Matthew Stephen Dyer
Read original paper ↗ ·LIBAC: An Annotated Corpus for Automated “Reading” of the Lithium-Ion Battery Research Literature
Chemistry of Materials · 2023
Hassna El‐Bousiydy, Javier F. Troncoso, Patrik Johansson, Alejandro A. Franco
Read original paper ↗ ·The value of negative results in data-driven catalysis research
Nature Catalysis · 2023
Toshiaki Taniike, KEISUKE G. TAKAHASHI
Read original paper ↗ ·RETRACTED ARTICLE: Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation
Multimedia Tools and Applications · 2023
Ediga Poornima, BalaAnand Muthu, Ruchi Agrawal, Sanjeev Kumar, Mallika Dhingra, Renas Rajab Asaad, Awais Khan Jumani
Read original paper ↗ ·Unconstrained Machine Learning Screening for New Li‐Ion Cathode Materials Enhanced by Class Balancing
Advanced Theory and Simulations · 2023
Filip Dinic, Oleksandr Voznyy
Read original paper ↗ ·Machine Learning in Lithium‐Ion Battery Cell Production: A Comprehensive Mapping Study
Batteries & Supercaps · 2023
Sajedeh Haghi, Marc Francis V. Hidalgo, Mona Faraji Niri, Rüdiger Daub, James Marco
Read original paper ↗ ·Data-Driven Prognosis of Multiscale and Multiphysics Complex System Anomalies: Its Application to Lithium-ion Batteries Failure Detection
Journal of The Electrochemical Society · 2023
Lin Liu
Read original paper ↗ ·Structural Transformation of Hydrated WO3 into SnWO4 via Sn Incorporation Enables a Superior Pseudocapacitor and Aqueous Zinc-Ion Battery
Energy & Fuels · 2023
Harishchandra S. Nishad, Shobhnath P. Gupta, Nishat S. Khan, Ankush V. Biradar, Jaewoong Lee, Sagar M. Mane, Pravin S. Walke
Read original paper ↗ ·Ageing-aware battery discharge prediction with deep learning
Applied Energy · 2023
Luca Biggio, Tommaso Bendinelli, Chetan S. Kulkarni, Olga Fink
Read original paper ↗ ·NIMS-OS: an automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science
Science and Technology of Advanced Materials Methods · 2023
Ryo Tamura, Koji Tsuda, Shôichi Matsuda
Read original paper ↗ ·Growth of TiS2 nanoflakes using CVD approach for sodium-ion battery application
Journal of Nanoparticle Research · 2023
Pooya Dehghan, Ehsan Ansari, Soraya Hoornam, Mohammadreza Yasoubi, Zeinab Sanaee, S. Mohajerzadeh
Read original paper ↗ ·Lithium–Ion Battery Data: From Production to Prediction
Batteries · 2023
Marwan Hassini, Eduardo Redondo-Iglesias, Pascal Venet
Read original paper ↗ ·How to Develop Useful Models for Solid‐State Batteries – A Plea for Simplicity and Interdisciplinary Cooperation
Batteries & Supercaps · 2023
Anja Bielefeld
Read original paper ↗ ·Metal-solvent interaction contribution on voltage for metal ion battery: An interpretable machine learning approach
Electrochimica Acta · 2023
Souvik Manna, Surya Sekhar Manna, Sandeep Das, Biswarup Pathak
Read original paper ↗ ·Building Smarter Aqueous Batteries
Small Methods · 2023
Canbin Deng, Yiqing Li, Jiaqiang Huang
Read original paper ↗ ·Detecting electrochemical changes in a nickel–zinc battery by operando x‐ray computed‐tomography analysis during charge–discharge tests
X-Ray Spectrometry · 2023
Daichi Kohmoto, Kohei Miyazaki, Masahito Morita, Katsutoshi Fukuda, Takeshi Abe
Read original paper ↗ ·A dynamic database of solid-state electrolyte (DDSE) picturing all-solid-state batteries
Nano Materials Science · 2023
Fangling Yang, Egon Campos dos Santos, Xue Jia, Ryuhei Sato, Kazuaki Kisu, Yusuke Hashimoto, Shin‐ichi Orimo, Hao Li
Read original paper ↗ ·Artificial intelligence-driven rechargeable batteries in multiple fields of development and application towards energy storage
Journal of Energy Storage · 2023
Zheng Li, Shuqing Zhang, Hao Huang, Ruxiang Liu, Mian Cai, Yinghui Bian, Long Chang, Huiping Du
Read original paper ↗ ·Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook
Energy & Fuels · 2023
Hossein Mirzaee, Serveh Kamrava, Pejman Tahmasebi
Read original paper ↗ ·MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Advanced Materials · 2023
Zhilong Wang, An Chen, Kehao Tao, Yanqiang Han, Jinjin Li
Read original paper ↗ ·Materials Informatics for Thermistor Properties of Mn–Co–Ni Oxides
The Journal of Physical Chemistry C · 2023
Shogo Hashimura, Yudai Yamaguchi, Hayami Takeda, Naoto Tanibata, Masanobu Nakayama, Naohiro Niizeki, Takayuki Nakaya
Read original paper ↗ ·New insights on designing the next-generation materials for electrochemical synthesis of reactive oxidative species towards efficient and scalable water treatment: A review and perspectives
Journal of environmental chemical engineering · 2023
Amir Taqieddin, Stephanie Sarrouf, Muhammad Fahad Ehsan, Akram N. Alshawabkeh
Read original paper ↗ ·Influence of amorphous intermediate domains on the performance of Na2O–Bi2O3–GeO2 glass–ceramic anode material system
Applied Physics A · 2023
Saritha Kumari Yerranuka, Vamsi Krishna Katta, Shyam Sundar Gandi, S. V. G. V. A. Prasad, Dimple P. Dutta, Balaji Rao Ravuri
Read original paper ↗ ·A Review of Transition Metal Boride, Carbide, Pnictide, and Chalcogenide Water Oxidation Electrocatalysts
Chemical Reviews · 2023
Kenta Kawashima, Raúl A. Márquez, Lettie A. Smith, Rinish Reddy Vaidyula, Omar A. Carrasco-Jaim, Ziqing Wang, Yoon Jun Son, Chi L. Cao, Charles Buddie Mullins
Read original paper ↗ ·Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation
Journal of Energy Chemistry · 2023
Tong Yu, Chunyang Wang, Huicong Yang, Feng Li
Read original paper ↗ ·Human–Machine Collaboration for Accelerated Discovery of Promising Oxygen Evolution Electrocatalysts with On-Demand Elements
ACS Central Science · 2023
Ken Sakaushi, Watcharaporn Hoisang, Ryo Tamura
Read original paper ↗ ·Comprehending garnet solid electrolytes and interfaces in all-solid lithium-ion batteries
Materials Today Sustainability · 2023
D. Lakshmi, Sri Vaishnavi Thummalapalli, Nathan Fonseca, Hassan Nazir, Kennan Song, A.M. Kannan
Read original paper ↗ ·Toward Knowledge Engineering Using MatFlow for Inverse Quantum Dye Design
Venue not supplied by source · 2023
Hasan H. Rahman, Hasan M. Jamil
Read original paper ↗ ·OPTIMIZATION OF WEDM PARAMETERS USING MACHINE LEARNING: A COMPARATIVE ANALYSIS OF SELECTED REGRESSION MODELS
International Journal of Modern Manufacturing Technologies · 2023
Łukasz Łomozik, Andrzej Sokołowski, Henryk Bakowski
Read original paper ↗ ·