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Development of Machine-Learned Interatomic Potentials to Predict Structure, Transport, and Reactivity in Platinum-Based Fuel Cells

Fazel, Kamron et al.
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machine
33 advanced propulsion systems, 97 mathematics and computing, fluoropolymers, fuel cells, hydration, platinum, fuel cell, machine-learned interatomic potential
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Record · ID 495791
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