[HTML][HTML] Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials

H Dong, Y Shi, P Ying, K Xu, T Liang, Y Wang… - Journal of Applied …, 2024 - pubs.aip.org
Molecular dynamics (MD) simulations play an important role in understanding and
engineering heat transport properties of complex materials. An essential requirement for …

Moiré Pattern Controlled Phonon Polarizer Based on Twisted Graphene

Z Qin, L Dai, M Li, S Li, H Wu, KE White… - Advanced …, 2024 - Wiley Online Library
Twisted van der Waals materials featuring Moiré patterns present new design possibilities
and demonstrate unconventional behaviors in electrical, optical, spintronic, and …

Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials

P Ying, W Zhou, L Svensson, E Berger… - The Journal of …, 2025 - pubs.aip.org
Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing
nuclear quantum effects in materials. However, their computational intensity often makes it …

[HTML][HTML] Million-atom heat transport simulations of polycrystalline graphene approaching first-principles accuracy enabled by neuroevolution potential on desktop …

X Zhou, Y Liu, B Tang, J Wang, H Dong, X **u… - Journal of Applied …, 2025 - pubs.aip.org
First-principles molecular dynamics simulations of heat transport in systems with large-scale
structural features are challenging due to their high computational cost. Here, using …

Combining the D3 dispersion correction with the neuroevolution machine-learned potential

P Ying, Z Fan - Journal of Physics: Condensed Matter, 2023 - iopscience.iop.org
Abstract Machine-learned potentials (MLPs) have become a popular approach of modeling
interatomic interactions in atomistic simulations, but to keep the computational cost under …

Theoretical advances in predicting the thermoelectric performance of materials

M Jakhar, P Chauhan, A Kumar, R Pandey - 2D Materials, 2024 - iopscience.iop.org
Eco-friendly and high-performance thermoelectric materials have proven effective in
converting heat energy into electricity. Theoretical methods for understanding the transport …

[PDF][PDF] calorine: A Python package for constructing and sampling neuroevolution potential models

E Lindgren, M Rahm, E Fransson, F Eriksson… - Journal of Open …, 2024 - joss.theoj.org
Molecular dynamics (MD) simulations are a key tool in computational chemistry, physics,
and materials science, aiding the understanding of microscopic processes but also guiding …

Negative correlation between cross-plane bonding strength and in-plane thermal transport in bent van der Waals materials

S Qiao, Y Tao, L Yang - Physical Review B, 2024 - APS
Strain engineering stands out as a promising avenue for manipulating the physicochemical
characteristics of two-dimensional (2D) van der Waals (vdW) materials. Amidst the …

Anisotropic Heat Conduction of Silicon Nanocube through Strain Gradient Engineering

J Lyu, S Qiao, L Yang - Nano Letters, 2025 - ACS Publications
Precise control of directional heat flow is essential for advancing applications such as
microchip cooling and building thermal regulation. However, existing methods often face …

Defect-assisted reversible phase transition in mono- and few-layer ReS2

G Zograf, AB Yankovich, B Küçüköz… - npj 2D Materials and …, 2025 - nature.com
Abstract 2D transition metal dichalcogenide (TMD) materials have attracted interest due to
their remarkable excitonic, optical, electrical, and mechanical properties, which are …