Machine learning-guided discovery of ionic polymer electrolytes

Evaluation of polymer electrolyte membrane electrolysis by explainable machine learning, optimum classification model, and active learning

Machine Learning-Based Design of Ionic Liquids at the Atomic Scale for Highly Efficient CO2 Capture

What dictates soft clay-like lithium superionic conductor formation from rigid salts mixture

Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries

Machine Learning-Assisted Discovery of Solid Li-Ion Conducting Materials

Chemistry-Informed Machine Learning for Polymer Electrolyte Discovery

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Machine Learning-Guided Discovery of Underlying Decisive Factors and New Mechanisms for the Design of Nonprecious Metal Electrocatalysts

Illustration of the polymer space and the learning framework a The

Understanding the Electrochemical Stability Window of Polymer Electrolytes in Solid-State Batteries from Atomic-Scale Modeling: The Role of Li-Ion Salts

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Machine learning-inspired battery material innovation - Energy Advances (RSC Publishing) DOI:10.1039/D3YA00040K

Harnessing artificial intelligence to holistic design and identification for solid electrolytes - ScienceDirect