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Sarath Menon

Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universität Bochum

7 papers hereh-index 8494 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci6
  • cond-mat.stat-mech1
affiliations
  • Interdisciplinary Centre for Advanced Materials Simulation, Ruhr-Universität Bochum
Homepage
same name
  • Sarath Menon — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedAutomated free energy calculation from atomistic simulations

36 citations · 66 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cond-mat.mtrl-sci2021

Non-classical nucleation of zinc oxide from a physically-motivated machine-learning approach

Gaétan Laurens, Jacek Goniakowski, Julien Lam

Observing non-classical nucleation pathways remains challenging in simulations of complex materials with technological interests. This is because it requires very accurate force fi…

cond-mat.mtrl-sci2021★ 36 cited

Automated free energy calculation from atomistic simulations

Sarath Menon, Yury Lysogorskiy, Jutta Rogal +1

We devise automated workflows for the calculation of Helmholtz and Gibbs free energies and their temperature and pressure dependence and provide the corresponding computational too…

cond-mat.mtrl-sci2021★ 11 cited

Performant implementation of the atomic cluster expansion (PACE): Application to copper and silicon

Yury Lysogorskiy, Cas van der Oord, Anton Bochkarev +8

The atomic cluster expansion is a general polynomial expansion of the atomic energy in multi-atom basis functions. Here we implement the atomic cluster expansion in the performant…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.