Developing a Neural Network potential to investigate interface phenomena in solid-phase epitaxy
- Resource Type
- Conference
- Authors
- Lot, Ruggero; Martin-Samos, Layla; de Gironcoli, Stefano; Hemeryck, Anne
- Source
- 2021 IEEE 16th Nanotechnology Materials and Devices Conference (NMDC) Nanotechnology Materials and Devices Conference (NMDC), 2021 IEEE 16th. :1-5 Dec, 2021
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Performance evaluation
Interface phenomena
Liquids
Neural networks
Solids
Silicon
Diamond
- Language
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.