Realistic structural properties of amorphous SiNx from machine-learning-assisted molecular dynamics
Research output: Contribution to conference › Poster › Research
Standard
Realistic structural properties of amorphous SiNx from machine-learning-assisted molecular dynamics. / Nayak, Ganesh Kumar; Prashanth, Srinivasan; Todt, Juraj et al.
2023. Poster session presented at ICMCTF 2023, San Diego, United States.
2023. Poster session presented at ICMCTF 2023, San Diego, United States.
Research output: Contribution to conference › Poster › Research
Harvard
Nayak, GK, Prashanth, S, Todt, J, Daniel, R & Holec, D 2023, 'Realistic structural properties of amorphous SiNx from machine-learning-assisted molecular dynamics', ICMCTF 2023, San Diego, United States, 21/05/23 - 26/05/23.
APA
Nayak, G. K., Prashanth, S., Todt, J., Daniel, R., & Holec, D. (2023). Realistic structural properties of amorphous SiNx from machine-learning-assisted molecular dynamics. Poster session presented at ICMCTF 2023, San Diego, United States.
Vancouver
Nayak GK, Prashanth S, Todt J, Daniel R, Holec D. Realistic structural properties of amorphous SiNx from machine-learning-assisted molecular dynamics. 2023. Poster session presented at ICMCTF 2023, San Diego, United States.
Author
Bibtex - Download
@conference{96aceee048f84733b583a1da1919c878,
title = "Realistic structural properties of amorphous SiNx from machine-learning-assisted molecular dynamics",
author = "Nayak, {Ganesh Kumar} and Srinivasan Prashanth and Juraj Todt and Rostislav Daniel and David Holec",
year = "2023",
language = "English",
note = "ICMCTF 2023 ; Conference date: 21-05-2023 Through 26-05-2023",
}
RIS (suitable for import to EndNote) - Download
TY - CONF
T1 - Realistic structural properties of amorphous SiNx from machine-learning-assisted molecular dynamics
AU - Nayak, Ganesh Kumar
AU - Prashanth, Srinivasan
AU - Todt, Juraj
AU - Daniel, Rostislav
AU - Holec, David
PY - 2023
Y1 - 2023
M3 - Poster
T2 - ICMCTF 2023
Y2 - 21 May 2023 through 26 May 2023
ER -
