activity
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

collaborators

74 papers

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…

physics.comp-ph2026★ 10 cited

Materials Informatics: Emergence To Autonomous Discovery In The Age Of AI

Turab Lookman, YuJie Liu, Zhibin Gao

This perspective explores the evolution of materials informatics, from its foundational roots in physics and information theory to its maturation through artificial intelligence (A…

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…