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Conference Papers Year : 2021

Developing a Neural Network potential to investigate interface phenomena in solid-phase epitaxy

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Abstract

In this work, we develop a new neural network potential for silicon and perform accurate molecular dynamics simulations of the liquid, amorphous and diamond phases. The potential is tested against several physical properties and the solid phase epitaxy process is simulated.
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Dates and versions

hal-03375965 , version 1 (13-10-2021)

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Ruggero Lot, Layla Martin-Samos, Stefano de Gironcoli, Anne Hémeryck. Developing a Neural Network potential to investigate interface phenomena in solid-phase epitaxy. 16th IEEE Nanotechnology Materials and Devices Conference (IEEE NMDC 2021), Dec 2021, Vancouver, Canada. ⟨10.1109/NMDC50713.2021.9677541⟩. ⟨hal-03375965⟩
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