activity
20172026
most citedOrigin of the Extremely Large Magnetoresistance in the Semimetal YSb

63 citations · 120 across the 11 of their papers we have counts for

collaborators

11 papers

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-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.supr-con2025

Ambient-pressure superconductivity above 22 K in hole-doped YB2

Xuejie Li, Wenbo zhao, Yuzhou Hao +3

Recent studies of hydrogen-dominant (superhydride) materials, such as LaH10 have led to putative discoveries of near-room temperature superconductivity at high pressures, with a su…

cond-mat.supr-con2025

Same-group element replacement enhances superconductivity in clathrate-like YH4

Xuejie Li, Yuzhou Hao, Yujie Liu +5

H3S, LaH10, and hydrogen-based compounds have garnered significant interest due to their high-temperature superconducting properties. However, the requirement for extremely high pr…

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…