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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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…

physics.chem-ph2024★ 3 cited

Machine Learning Potentials for Heterogeneous Catalysis

Amir Omranpour, Jan Elsner, K. Nikolas Lausch +1

The sustainable production of many bulk chemicals relies on heterogeneous catalysis. The rational design or improvement of the required catalysts critically depends on insights int…

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

Machine Learning Potentials for Heterogeneous Catalysis

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