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[HTML][HTML] Molecular dynamics simulations of heat transport using machine-learned potentials: A mini-review and tutorial on GPUMD with neuroevolution potentials
Molecular dynamics (MD) simulations play an important role in understanding and
engineering heat transport properties of complex materials. An essential requirement for …
engineering heat transport properties of complex materials. An essential requirement for …
Moiré Pattern Controlled Phonon Polarizer Based on Twisted Graphene
Twisted van der Waals materials featuring Moiré patterns present new design possibilities
and demonstrate unconventional behaviors in electrical, optical, spintronic, and …
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
Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing
nuclear quantum effects in materials. However, their computational intensity often makes it …
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 …
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 …
structural features are challenging due to their high computational cost. Here, using …
Combining the D3 dispersion correction with the neuroevolution machine-learned potential
Abstract Machine-learned potentials (MLPs) have become a popular approach of modeling
interatomic interactions in atomistic simulations, but to keep the computational cost under …
interatomic interactions in atomistic simulations, but to keep the computational cost under …
Theoretical advances in predicting the thermoelectric performance of materials
Eco-friendly and high-performance thermoelectric materials have proven effective in
converting heat energy into electricity. Theoretical methods for understanding the transport …
converting heat energy into electricity. Theoretical methods for understanding the transport …
[PDF][PDF] calorine: A Python package for constructing and sampling neuroevolution potential models
Molecular dynamics (MD) simulations are a key tool in computational chemistry, physics,
and materials science, aiding the understanding of microscopic processes but also guiding …
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
Strain engineering stands out as a promising avenue for manipulating the physicochemical
characteristics of two-dimensional (2D) van der Waals (vdW) materials. Amidst the …
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 …
microchip cooling and building thermal regulation. However, existing methods often face …
Defect-assisted reversible phase transition in mono- and few-layer ReS2
Abstract 2D transition metal dichalcogenide (TMD) materials have attracted interest due to
their remarkable excitonic, optical, electrical, and mechanical properties, which are …
their remarkable excitonic, optical, electrical, and mechanical properties, which are …