Kishan Govind

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Active since

2024

Affiliations

Kishan Govind is an author at Forschungszentrum Jülich specializing in computational materials science, microstructure, and magnetic materials simulation.

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Publications per year

2024–2024

Publications

Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties

Binh Duong Nguyen, Pavlo Potapenko, Aytekin Demirci et al. · Machine Learning with Applications · 2024 · 20 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +14

Deep learning of crystalline defects from TEM images: a solution for the problem of ‘never enough training data’

Kishan Govind, Daniela Oliveros, A. Dlouhý et al. · Machine Learning Science and Technology · 2024 · 15 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

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