Lithium–ion battery book written by machine learning algorithm | News | Chemistry World
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
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
Advanced Machine Learning Approach for Lithium-Ion Battery State Estimation in Electric Vehicles | Semantic Scholar
A deep learning method for online capacity estimation of lithium-ion batteries - 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
New machine learning method from Stanford, with Toyota researchers, could accelerate battery development for EVs - Green Car Congress
Online capacity estimation of lithium-ion batteries with deep long short-term memory networks - ScienceDirect
Application of machine learning methods for the prediction of crystal system of cathode materials in lithium-ion batteries - ScienceDirect
![PDF] Intelligent State-of-Charge and State-of-Health Estimation Framework for Li-ion Batteries in Electrified Vehicles using Deep Learning Techniques | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/69da64166d021e2f90f2681cfb05648dfcf28b85/35-Figure1.2-1.png "PDF] Intelligent State-of-Charge and State-of-Health Estimation Framework for Li-ion Batteries in Electrified Vehicles using Deep Learning Techniques | Semantic Scholar")
PDF] Intelligent State-of-Charge and State-of-Health Estimation Framework for Li-ion Batteries in Electrified Vehicles using Deep Learning Techniques | Semantic Scholar
Multi-scale computation methods: Their applications in lithium-ion battery research and development
Machine Learning Could Speed Up Search For New Battery Materials - CleanTechnica
Multi-scale computation methods: Their applications in lithium-ion battery research and development
Improving Fuel Cell Efficiency Through Machine Learning Techniques - News
Designing positive electrodes with high energy density for lithium-ion batteries - Journal of Materials Chemistry A (RSC Publishing)
Batteries | Xin Group @ Virginia Tech
A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning - ScienceDirect
Machine Learning Lithium-Ion Battery Capacity Estimation - File Exchange - MATLAB Central
Machine Learning for Advanced Batteries | Transportation and Mobility Research | NREL
Video Streaming | Benchmark Mineral Intelligence
Scientists Use Artificial Intelligence and Computer Vision to Study Lithium-Ion Batteries
Machine learning assisted materials design and discovery for rechargeable batteries - ScienceDirect
Machine Learning for Accelerated Discovery of promising Battery Materials
