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19932026
most citedOnset of Irreversibility and Chaos in Amorphous Solids Under Periodic Shear

188 citations · 1.9k across the 73 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

39 papers · 1 filter

cond-mat.mtrl-sci2026

Four-phonon scattering and coherent heat transport in ultrawide-bandgap SrSnO3

Xuejie Li, Xiaoying Wang, Shengying Yue +4

SrSnO3 is a promising ultrawide-bandgap perovskite oxide whose thermal transport is governed by structural distortions and anharmonic lattice dynamics. Here, we investigate the lat…

cond-mat.mtrl-sci2026★ 1 cited

LLM-driven discovery for carbon allotropes with bond-network entropy

Yuzhou Hao, Yujie Liu, Xuejie Li +4

The discovery of novel carbon allotropes with tailored thermal and mechanical properties is critical for advanced thermal management. However, exploring the vast configurational sp…

cond-mat.mtrl-sci2026★ 2 cited

Role of octahedral tilting induced acoustic softening on limiting thermal transport in SrSnO3

Yuzhou Hao, Turab Lookman, Xiangdong Ding +2

Octahedral tilting is a fundamental structural distortion in perovskites, governing key phenomena such as lattice stabilizing, soft phonon dynamics, group-theoretical analysis, pha…

cond-mat.mtrl-sci2026★ 2 cited

Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery

Bin Cao, Jie Xiong, Jiaxuan Ma +11

Efficient exploration of vast compositional and processing spaces remains a major challenge in accelerated materials discovery. Bayesian optimization (BO) provides a principled app…

cond-mat.mtrl-sci2025

Metavalent Bonding-Induced Phonon Hardening and Giant Anharmonicity in BeO

Xuejie Li, Yuzhou Hao, Yujie Liu +6

The search for materials with intrinsically low thermal conductivity () is critical for energy applications, yet conventional descriptors often fail to capture the complex int…

cond-mat.mtrl-sci2025★ 7 cited

PINK: physical-informed machine learning for lattice thermal conductivity

Yujie Liu, Xiaoying Wang, Yuzhou Hao +5

Lattice thermal conductivity () is crucial for efficient thermal management in electronics and energy conversion technologies. Traditional methods for predicting \k{appa}L are…