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RESEARCH PAPER · Angewandte Chemie · 2021

Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale

Xiang Chen, Xinyan Liu, Xin Pu Shen, Qiang Zhang

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Applying Machine Learning to Rechargeable Batteries: From the Microscale to the MacroscaleOriginalMachine learning 3D-resolved prediction of electrolyte infiltration in battery porous electrodes53Combined density functional theory/kinetic Monte Carlo investigation of surface morphology during cycling of Li-Cu electrodes6Artificial intelligence driven in-silico discovery of novel organic lithium-ion battery cathodes73Three-dimensional modeling of Lithium-ion battery electrode manufacturing0A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries288Machine learning-facilitated multiscale imaging for energy materials27Machine learning approach to map the thermal conductivity of over 2,000 neoteric solvents for green energy storage applications68Lithium-ion battery degradation trajectory early prediction with synthetic dataset and deep learning71Remaining useful life prediction of lithium-ion batteries based on peak interval features and deep learning24Designing Advanced Polymeric Binders for High‐Performance Rechargeable Sodium Batteries35Mechanics and electrochemistry in nature-inspired functional batteries: fundamentals, configurations and devices25Fast Reaction Kinetics and Commendable Low‐Temperature Adaptability of Zinc Batteries Enabled by Aprotic Water‐Acetamide Symbiotic Solvation Sheath50Fast Reaction Kinetics and Commendable Low‐Temperature Adaptability of Zinc Batteries Enabled by Aprotic Water‐Acetamide Symbiotic Solvation Sheath11Oxygen Redox in Battery Cathodes: A Brief Overview0Electronic Properties of CrB/Co2CO2 Superlattices by Multiple Descriptor‐Based Machine Learning Combined with First‐Principles6Insights and reviews on battery lifetime prediction from research to practice93Battery degradation stage detection and life prediction without accessing historical operating data42Material design modelling for optimisation of lithium battery fast charging4Computational Insights into Electrolyte-Dependent Li-Ion Charge-Transfer Kinetics at the Li x CoO 2 Interface22A comprehensive review of silicon anodes for high-energy lithium-ion batteries: Challenges, latest developments, and perspectives152Machine-learning-assisted deciphering of microstructural effects on ionic transport in composite materials: A case study of Li7La3Zr2O12-LiCoO212Design principles of fluoroether solvents for lithium metal battery electrolytes unveiled by extensive molecular simulation and machine learning33A simple and efficient nitrating agent to achieve N-n-butyl-N-(2-nitroxyethyl) nitramine (Bu-NENA) and theoretical study of its compatibility with polyglycidyl nitrate (PGN) and glycidyl azide polymer (GAP)5Machine learning in advancing anode materials for Lithium-Ion batteries – A review17Phase-field modelling for degradation/failure research in lithium battery: Progress and prospects31Nondestructive Analysis of Commercial Batteries59Solvent-Driven Na Storage in SnS2 Anodes: Atomistic Simulation-Guided Strategies for Reversible Reactions, Solid Electrolyte Interphase, and Morphological Transformation12Designing layered oxides as cathodes for sodium-ion batteries: Machine learning and density functional theory based modeling14Battery Degradation Trajectory Early Prediction with Degradation Recognition and Physics-Guided Under Different Charging Strategies0Disentangling multifactorial impacts on cathode thermochemical properties with explainable machine learning9From atoms to algorithms: a review of machine learning approaches to cathode material innovation in zinc-ion batteries6Silicon/graphite composite host for tuned lithiophilicity in Li metal anodes5The leveraging ether C–H bond shielding strategy for antioxidative electrolyte in lithium-ion batteries5Integrating Machine Learning and Characterization in Battery Research: Toward Cognitive Digital Twins with Physics and Knowledge30Knowledge-guided large language model for material science16Towards fast multi-scale state estimation for retired battery reusing via Pareto-efficient13Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features0Developing safe and high-performance lithium-ion batteries: Strategies and approaches97A study on the role of artificial intelligence and renewable energy technologies in building a sustainable future0Applications of AI in Modern/Smart Power Grids: A Short Review0AI‐Driven Defect Engineering for Advanced Thermoelectric Materials37Battery technology for sustainable aviation: a review of current trends and future prospects78A Concise Overview of the Use of Low-Dimensional Molybdenum Disulfide as an Electrode Material for Li-Ion Batteries and Beyond3Revealing the intrinsic structure-property relationship in hard carbon during (de)sodiation: Insights from direct atomic simulations with neural network potentials2Theoretical Insights into Aqueous Zinc Metal Batteries: Applications of Density Functional Theory and Molecular Dynamics Simulations in Electrolyte Design18Advanced strategies to boost sustainable high-rate Ni-rich cathodes toward durable LIBs14Generative Deep Learning for Advanced Battery Materials3Battery degradation trajectory early prediction with degradation recognition and physics-guided under different charging strategies8Path to Machine Learning-Driven Autonomous Systems for Solid-State Electrolyte Batteries: Design, Fabrication, and Lifetime Prediction13Predicting dendrite growth in lithium metal batteries through iterative neural networks and voltage embedding2Early Degradation Trajectory Prediction of Lithium-ion Batteries Based on Degradation Pattern Recognition0Machine learning interatomic potential enables interface-level insights into cathode/solid electrolyte adhesion in sodium-ion batteries4Battery Capacity Estimation Across Vehicles with Heterogeneous Features Based on Variational Encoder-Long Short-Term Memory Network0Nanoscale Room-Temperature Na Dynamics in Layered Ruthenates Na1RuO3 and Na1.5RuO30Machine learning-assisted health management of retired batteries0Fluorinated Gel Polymer Electrolytes for Lithium Metal Batteries: From Passive Protection to Adaptive Interfacial Regulation0

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  2. Combined density functional theory/kinetic Monte Carlo investigation of surface morphology during cycling of Li-Cu electrodes

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  3. Artificial intelligence driven in-silico discovery of novel organic lithium-ion battery cathodes

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  4. Three-dimensional modeling of Lithium-ion battery electrode manufacturing

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  5. A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries

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  6. Machine learning-facilitated multiscale imaging for energy materials

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  7. Machine learning approach to map the thermal conductivity of over 2,000 neoteric solvents for green energy storage applications

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  8. Lithium-ion battery degradation trajectory early prediction with synthetic dataset and deep learning

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  9. Remaining useful life prediction of lithium-ion batteries based on peak interval features and deep learning

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  10. Designing Advanced Polymeric Binders for High‐Performance Rechargeable Sodium Batteries

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  11. Mechanics and electrochemistry in nature-inspired functional batteries: fundamentals, configurations and devices

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  12. Fast Reaction Kinetics and Commendable Low‐Temperature Adaptability of Zinc Batteries Enabled by Aprotic Water‐Acetamide Symbiotic Solvation Sheath

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  13. Fast Reaction Kinetics and Commendable Low‐Temperature Adaptability of Zinc Batteries Enabled by Aprotic Water‐Acetamide Symbiotic Solvation Sheath

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  14. Oxygen Redox in Battery Cathodes: A Brief Overview

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  15. Electronic Properties of CrB/Co2CO2 Superlattices by Multiple Descriptor‐Based Machine Learning Combined with First‐Principles

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  17. Battery degradation stage detection and life prediction without accessing historical operating data

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  18. Material design modelling for optimisation of lithium battery fast charging

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  19. Computational Insights into Electrolyte-Dependent Li-Ion Charge-Transfer Kinetics at the Li x CoO 2 Interface

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  20. A comprehensive review of silicon anodes for high-energy lithium-ion batteries: Challenges, latest developments, and perspectives

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  26. Nondestructive Analysis of Commercial Batteries

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