activity
20182026
most citedImpact of Random Spatial Truncation and Reciprocal-Space Binning on the Detection of Hyperuniformity in Disordered Systems

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

PhonoMC: Occupation-based deviational Monte Carlo for phonon transport with temperature-dependent scattering

Shixian Liu, Fei Yin, Gang Wang +4

Nanoscale self-heating involves phonon transport across confined geometries, material interfaces, and temperature fields over which the scattering rates can vary substantially. We…

cond-mat.dis-nn2026

Extracting effective scaling exponents in finite-size hyperuniform systems

Yuan Liu, Xurui Li, Jianxiang Tian +2

Hyperuniform systems strongly suppress long-wavelength density fluctuations, which is quantitatively characterized by the small-wavenumber scaling. In finite samples, however, accu…

cond-mat.soft2025

Structure factor realizability reveals the glass-dynamics onset temperature

Bowen Duan, Ge Zhang

When liquids are cooled rapidly, they bypass crystallization and instead enter a supercooled state and then a glass state. Previous studies have shown that the static structure fac…

cond-mat.dis-nn2025★ 3 cited

Impact of Random Spatial Truncation and Reciprocal-Space Binning on the Detection of Hyperuniformity in Disordered Systems

Yuan Liu, Xurui Li, Jianxiang Tian +2

We study how finite-window sampling (random spatial truncation) and reciprocal-space radial binning influence the detection of hyperuniformity in disordered systems. Using thirteen…

cond-mat.dis-nn2025

Liquid and solid layers in a thermal deep learning machine

Gang Huang, Lai Shun Chan, Hajime Yoshino +2

Based on deep neural networks (DNNs), deep learning has been successfully applied to many problems, but its mechanism is still not well understood -- especially the reason why over…

cond-mat.stat-mech2018★ 1 cited

Inversion Problems for Fourier Transforms of Particle Distributions

Jaeuk Kim, Ge Zhang, Frank H. Stillinger +1

Collective coordinates in a many-particle system are complex Fourier components of the particle density, and often provide useful physical insights. However, given collective coord…