@article{ART003241537},
author={Choyal Vijay and Mishra Saurabh and Luhadiya Nitin and Kundalwal S. I.},
title={Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations},
journal={Carbon Letters},
issn={1976-4251},
year={2025},
volume={35},
number={3},
pages={1311-1326},
doi={10.1007/s42823-025-00867-w}
TY - JOUR
AU - Choyal Vijay
AU - Mishra Saurabh
AU - Luhadiya Nitin
AU - Kundalwal S. I.
TI - Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations
JO - Carbon Letters
PY - 2025
VL - 35
IS - 3
PB - Korean Carbon Society
SP - 1311
EP - 1326
SN - 1976-4251
AB - The prime objective of this computational study was to develop a highly accurate potential for the use of molecular dynamics (MD) simulations of carbon nanotubes (CNTs). This potential was generated using ab initio MD (AIMD) simulations based on density functional theory (DFT). Subsequently, we constructed machine-learned interatomic potentials (MLIPs) based on moment tensor potential (MTP) descriptors using AIMD trajectories as training data. The performance of the developed MLIPs was evaluated by conducting the MD simulations of the stress–strain responses of single-walled CNTs (SWCNTs) and defected SWCNTs (D-SWCNTs) under tensile loading. Furthermore, this work includes extensive MLIP-based MD simulations to examine the influence of diameter and chirality, temperature, and defect concentration on the fracture characteristics and Young’s modulus of SWCNTs. The findings demonstrate the computational reliability and transferability of the MLIPs in predicting the mechanical properties of SWCNTs through MD simulations performed over a temperature range of 1 K to 2000 K. The observed stiffnesses correspond to Young’s modulus ranging from 1.61–0.53 TPa with a mean value of 0.936 TPa for different SWCNTs with diameters ranging from 1.1–2.89 nm and temperatures spanning from 1 to 2000 K, exhibiting a noticeable dependence on chirality.
KW - Ab initio molecular dynamics;Carbon nanotubes;Machine-learned interatomic potential;Molecular dynamics
DO - 10.1007/s42823-025-00867-w
ER -
Choyal Vijay, Mishra Saurabh, Luhadiya Nitin and Kundalwal S. I.. (2025). Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations. Carbon Letters, 35(3), 1311-1326.
Choyal Vijay, Mishra Saurabh, Luhadiya Nitin and Kundalwal S. I.. 2025, "Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations", Carbon Letters, vol.35, no.3 pp.1311-1326. Available from: doi:10.1007/s42823-025-00867-w
Choyal Vijay, Mishra Saurabh, Luhadiya Nitin, Kundalwal S. I. "Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations" Carbon Letters 35.3 pp.1311-1326 (2025) : 1311.
Choyal Vijay, Mishra Saurabh, Luhadiya Nitin, Kundalwal S. I.. Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations. 2025; 35(3), 1311-1326. Available from: doi:10.1007/s42823-025-00867-w
Choyal Vijay, Mishra Saurabh, Luhadiya Nitin and Kundalwal S. I.. "Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations" Carbon Letters 35, no.3 (2025) : 1311-1326.doi: 10.1007/s42823-025-00867-w
Choyal Vijay; Mishra Saurabh; Luhadiya Nitin; Kundalwal S. I.. Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations. Carbon Letters, 35(3), 1311-1326. doi: 10.1007/s42823-025-00867-w
Choyal Vijay; Mishra Saurabh; Luhadiya Nitin; Kundalwal S. I.. Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations. Carbon Letters. 2025; 35(3) 1311-1326. doi: 10.1007/s42823-025-00867-w
Choyal Vijay, Mishra Saurabh, Luhadiya Nitin, Kundalwal S. I.. Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations. 2025; 35(3), 1311-1326. Available from: doi:10.1007/s42823-025-00867-w
Choyal Vijay, Mishra Saurabh, Luhadiya Nitin and Kundalwal S. I.. "Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations" Carbon Letters 35, no.3 (2025) : 1311-1326.doi: 10.1007/s42823-025-00867-w
