
About
Sarath Menon is a computational materials scientist at Ruhr-University Bochum and Max-Planck-Institut für Eisenforschung GmbH. His work focuses on atomistic simulations, machine learning interatomic potentials, and thermodynamic property calculations. He contributes to open-source software like pyiron and pace.
- Doctor of Engineering, Mechanical Engineering (2021)
- Master of Science, Materials Science and Simulation (2018)
- Bachelor of Technology, Mechanical Engineering (2012)
His research centers on developing machine learning potentials for thermodynamic modeling, with applications in phase diagrams and nucleation studies. He employs methods like transition path sampling and hyperdynamics.
Menon teaches Python programming, electronic structure methods, and atomistic simulation techniques. He has organized workshops on reproducible workflows and quantum mechanics in solid-state physics.
Key software contributions include:
- pyscal: Structural analysis tool for atomic environments
- pace: High-performance Atomic Cluster Expansion implementation
- calphy: Free energy calculation library
- atomRDF: Ontology-based structure manipulation
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