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20212026
most citedOptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations

12 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2026

Ontology-based knowledge graph infrastructure for interoperable atomistic simulation data

Abril Azocar Guzman, Sarath Menon, Tilmann Hickel +1

The reuse of atomistic simulation data is often limited by heterogeneous formats, incomplete metadata, and a lack of standardized representations of workflows and provenance. Here…

cond-mat.mtrl-sci2022

Automated analysis of continuum fields from atomistic simulations using statistical machine learning

Aruna Prakash, Stefan Sandfeld

Atomistic simulations of the molecular dynamics/statics kind are regularly used to study small scale plasticity. Contemporary simulations are performed with tens to hundreds of mil…

cond-mat.mtrl-sci2022★ 8 cited

Sintering of Alumina Nanoparticles: Comparison of Interatomic Potentials, Molecular Dynamics Simulations, and Data Analysis

Shyamal Roy, Arun Prakash, Stefan Sandfeld

Sintering of alumina nanoparticles is of interest both from the view of fundamental research as well as for industrial applications. Atomistic simulations are tailor-made for under…

cond-mat.mtrl-sci2021

Grain segmentation in atomistic simulations using orientation-based iterative self-organizing data analysis

M. Vimal, S. Sandfeld, A. Prakash

Atomistic simulations have now established themselves as an indispensable tool in understanding deformation mechanisms of materials at the atomic scale. Large scale simulations are…

cond-mat.mtrl-sci2021★ 12 cited

OptiMic: A tool to generate optimized polycrystalline microstructures for materials simulations

Prince Henry Serrao, Stefan Sandfeld, Aruna Prakash

Polycrystal microstructures, with their distinct physical, chemical, structural and topological entities, play an important role in determining the effective properties of material…