Amir Omranpour

most citedA High-Dimensional Neural Network Potential for Co

_{3}

_{4}

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

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…

physics.chem-ph2025

Insights into the Structure and Dynamics of Water at Co $_{3}$ O $_{4}$ (001) Using a High-Dimensional Neural Network Potential

Amir Omranpour, Jörg Behler

Co $_{3}$ O $_{4}$ is an important catalyst for the oxidation of organic molecules in the liquid phase. Still, understanding the atomistic details of Co $_{3}$ O $_{4}$ -water interfaces under op…

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

Insights into the Structure and Dynamics of Water at Co3​O4​(001) Using a High-Dimensional Neural Network Potential

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

Insights into the Structure and Dynamics of Water at Co $_{3}$ O $_{4}$ (001) Using a High-Dimensional Neural Network Potential

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