Chemoinformatics for corrosion science: Data-driven modeling of corrosion inhibition by organic molecules
Towards a universal model for assessing the performance of battery
materials at the level of single-particle behavior
Galvanostatic Fast Charging of Alkali-Ion Battery Materials at the Single-Particle Level: A Map-Driven Diagnosis
Electrochemoinformatics as an Emerging Scientific Field for Designing Materials and Electrochemical Energy Storage and Conversion Devices—An Application in Battery Science and Technology
Benchmarking machine learning methods for modeling physical properties of ionic liquids