Data for "Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine-learning molecular dynamics simulations"
Beskrivning
This is the data set for the preprint arXiv:2206.07605 [cond-mat.mtrl-sci], obtained by the GPUMD code.
Here are 6 directories.
1). NEMD
2). NEPpotential
3). PDOS
4). kappa-quenchRate
5). kappa-size
6). kappa-temperature
1). NEMD directory contains calculations of ballistic conductance using NEMD method, where 6 independent cycles are run to average.
2). NEPpotential directory is the trained NEP potential.
3). PDOS directory contains phonon density of states of a-Si samples generated by the quench rate of 10^{11} K/s.
4). kappa-quenchRate directory contains HNEMD calculations of a-Si samples which are prepared using melt-quench temperature protocols with the quench rates covering from 10^{11} to 5x10^{12} K/s. In each case, 3 independent cycles are run.
5). kappa-size directory contains HNEMD calculations based on different supercells. 6 independent cycles are run.
6). kappa-temperature directory contains HNEMD calculations of a-Si samples which are prepared for different targeted temperatures using slow quench rate of 10^{11} K/s.
Visa merPubliceringsår
2022
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Bohai University - Medarbetare
Loughborough University - Medarbetare
University of Science and Technology Beijing - Medarbetare
Zenodo - Utgivare
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