Amir Omranpour

most citedMachine Learning Potentials for Heterogeneous Catalysis

3 citations · 4 across the 4 of their papers we have counts for

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cond-mat.mtrl-sci2025

A Combined Theoretical and Experimental Study of Oxygen Vacancies in Co $_{3}$ O $_{4}$ for Liquid-Phase Oxidation Catalysis

Amir Omranpour, Lea Kämmerer, Catalina Leiva-Leroy +12

In the present work, we investigate oxygen vacancies (V $_{O}$ ) in Co $_{3}$ O $_{4}$ , both in the bulk phase and under liquid-phase ethylene glycol oxidation, by combining theoreti…

cond-mat.mtrl-sci2024★ 1 cited

A High-Dimensional Neural Network Potential for Co $_{3}$ O $_{4}$

Amir Omranpour, Jörg Behler

The Co $_{3}$ O $_{4}$ spinel is an important material in oxidation catalysis. Its properties under catalytic conditions, i.e., at finite temperatures, can be studied by molecular dynamic…

A Combined Theoretical and Experimental Study of Oxygen Vacancies in Co3​O4​ for Liquid-Phase Oxidation Catalysis

A High-Dimensional Neural Network Potential for Co3​O4​

A Combined Theoretical and Experimental Study of Oxygen Vacancies in Co $_{3}$ O $_{4}$ for Liquid-Phase Oxidation Catalysis

A High-Dimensional Neural Network Potential for Co $_{3}$ O $_{4}$