Machine Learning for Advanced Batteries | Transportation and Mobility Research | NREL
Deep learning-based segmentation of lithium-ion battery microstructures enhanced by artificially generated electrodes | Nature Communications
Artificial Intelligence Used to Supercharge Battery Development for Electric Vehicles
Data-Driven Modeling and Estimation of Li-Ion Battery Properties - The Data Science Institute at Columbia University
Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles - Kaur - 2021 - International Journal of Energy Research - Wiley Online Library
Designing positive electrodes with high energy density for lithium-ion batteries - Journal of Materials Chemistry A (RSC Publishing)
Machine Learning Lithium-Ion Battery Capacity Estimation - File Exchange - MATLAB Central
Machine learning assisted materials design and discovery for rechargeable batteries - ScienceDirect
Machine Learning Could Speed Up Search For New Battery Materials - CleanTechnica
Machine-learning-revealed statistics of the particle-carbon/binder detachment in lithium-ion battery cathodes | Nature Communications
Batteries | Xin Group @ Virginia Tech
Online capacity estimation of lithium-ion batteries with deep long short-term memory networks - ScienceDirect
AI Is Throwing Battery Development Into Overdrive | WIRED
Multi-scale computation methods: Their applications in lithium-ion battery research and development
Scientists Use Artificial Intelligence and Computer Vision to Study Lithium-Ion Batteries
Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries - RSC Advances (RSC Publishing)
Lithium–ion battery book written by machine learning algorithm | News | Chemistry World
A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning - ScienceDirect
Machine learning‐based model for lithium‐ion batteries in BMS of electric/hybrid electric aircraft - Hashemi - 2021 - International Journal of Energy Research - Wiley Online Library
Applied Sciences | Free Full-Text | State-of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Steps with Machine Learning
Multi-scale computation methods: Their applications in lithium-ion battery research and development
A closer look at battery degradation, assisted by machine learning – pv magazine International
Identifying degradation patterns of lithium ion batteries from impedance spectroscopy using machine learning | Nature Communications
Machine Learning for Accelerated Discovery of promising Battery Materials
Application of machine learning methods for the prediction of crystal system of cathode materials in lithium-ion batteries - ScienceDirect
Building a better battery with machine learning | Argonne National Laboratory
