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Keyword: metal-ion batteries ×Clear all

1 claim from 1 paper

1. Materials Science › Machine Learning in Materials Science

   Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries

   Joshi, Eickholt, Li, Fornari, Barone and Peralta · ACS Applied Materials & Interfaces · 2019

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   1. Unchecked“We show that our ML models have predictive capabilities for different reference test sets and, as an example, we utilize them to generate a voltage profile diagram and compare it to density functional theory calculations.”