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Autonomous discovery of battery electrolytes with robotic experimentation and machine learning – Physics World
Autonomous discovery of battery electrolytes with robotic experimentation and machine learning – Physics World

Machine Learning for Battery Applications: White Paper - intellegens
Machine Learning for Battery Applications: White Paper - intellegens

Building a better battery with machine learning
Building a better battery with machine learning

Machine Learning for Advanced Batteries | Transportation and Mobility Research | NREL
Machine Learning for Advanced Batteries | Transportation and Mobility Research | NREL

Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence

Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries - RSC Advances (RSC Publishing)
Application of DFT-based machine learning for developing molecular electrode materials in Li-ion batteries - RSC Advances (RSC Publishing)

Multi-scale computation methods: Their applications in lithium-ion battery research and development
Multi-scale computation methods: Their applications in lithium-ion battery research and development

Energies | Free Full-Text | State-of-Charge Estimation of Battery Pack under Varying Ambient Temperature Using an Adaptive Sequential Extreme Learning Machine
Energies | Free Full-Text | State-of-Charge Estimation of Battery Pack under Varying Ambient Temperature Using an Adaptive Sequential Extreme Learning Machine

Multi-scale computation methods: Their applications in lithium-ion battery research and development
Multi-scale computation methods: Their applications in lithium-ion battery research and development

Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries,ACS Applied Materials & Interfaces - X-MOL
Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries,ACS Applied Materials & Interfaces - X-MOL

Applied Sciences | Free Full-Text | State-of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Steps with Machine Learning
Applied Sciences | Free Full-Text | State-of-Health Identification of Lithium-Ion Batteries Based on Nonlinear Frequency Response Analysis: First Steps with Machine Learning

Machine Learning Method to Improve Fast Charging Battery Development – Full-Stack Feed
Machine Learning Method to Improve Fast Charging Battery Development – Full-Stack Feed

Charged EVs | Machine learning could lead to durable fast-charging batteries - Charged EVs
Charged EVs | Machine learning could lead to durable fast-charging batteries - Charged EVs

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
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

Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents - Physical Chemistry Chemical Physics (RSC Publishing)
Machine learning prediction of coordination energies for alkali group elements in battery electrolyte solvents - Physical Chemistry Chemical Physics (RSC Publishing)

Closed-loop optimization of fast-charging protocols for batteries with machine learning | Nature
Closed-loop optimization of fast-charging protocols for batteries with machine learning | Nature

Batteries | Xin Group @ Virginia Tech
Batteries | Xin Group @ Virginia Tech

Research – D3BATT
Research – D3BATT

Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence

Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning - ScienceDirect
Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning - ScienceDirect

Batteries | Free Full-Text | Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes
Batteries | Free Full-Text | Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes

PDF] Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning | Semantic Scholar
PDF] Autonomous discovery of battery electrolytes with robotic experimentation and machine-learning | Semantic Scholar

Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence

Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale - Chen - 2021 - Angewandte Chemie International Edition - Wiley Online Library
Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale - Chen - 2021 - Angewandte Chemie International Edition - Wiley Online Library

Machine Learning for Accelerated Discovery of promising Battery Materials
Machine Learning for Accelerated Discovery of promising Battery Materials

Honorable Mention Winnerʼs Article: High-Fidelity State-of-Charge Estimation of Li-Ion Batteries using Machine Learning - HORIBA
Honorable Mention Winnerʼs Article: High-Fidelity State-of-Charge Estimation of Li-Ion Batteries using Machine Learning - HORIBA

Machine learning assisted materials design and discovery for rechargeable batteries - ScienceDirect
Machine learning assisted materials design and discovery for rechargeable batteries - ScienceDirect