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Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems - ScienceDirect
PDF) A comprehensive study on battery electric modeling approaches based on machine learning
Recycling of mixed cathode lithium‐ion batteries for electric vehicles: Current status and future outlook - Or - 2020 - Carbon Energy - Wiley Online Library
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Autonomous Discovery of Battery Electrolytes with Robotic Experimentation and Machine Learning - ScienceDirect
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Progress in electrolytes for beyond-lithium-ion batteries
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Structural Design of Lithium–Sulfur Batteries: From Fundamental Research to Practical Application | SpringerLink
Aluminum electrolytes for Al dual-ion batteries | Communications Chemistry
Reviewing recent advancements in the development of solid-state batteries
![PDF] A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/27b59d665ff60f9849e6182a8a09238a40c31fc0/21-Figure3-1.png "PDF] A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning | Semantic Scholar")
PDF] A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning | Semantic Scholar
Machine learning assisted materials design and discovery for rechargeable batteries - ScienceDirect
Lithium battery - Wikipedia
The Aluminum-Ion Battery: A Sustainable and Seminal Concept? | Semantic Scholar
Will AI Transform Batteries? — The Information
Solid state chemistry for developing better metal-ion batteries | Nature Communications
Materials | Free Full-Text | Building Better Batteries in the Solid State: A Review
The aluminium battery set to be far more powerful than lithium | Recharge
Batteries | Free Full-Text | A Flexible Model for Benchmarking the Energy Usage of Automotive Lithium-Ion Battery Cell Manufacturing
Predicting the state of charge and health of batteries using data-driven machine learning | Nature Machine Intelligence
