output
20162025
most citedHigh anisotropy of fully hydrogenated borophene

139 citations

Showing cond-mat.mtrl-sciShow all

5 papers · 1 filter

cond-mat.mtrl-sci20251 cited

TXL Fusion: A Hybrid Machine Learning Framework Integrating Chemical Heuristics and Large Language Models for Topological Materials Discovery

Arif Ullah, Rajibul Islam, Yangming Huang +4

Topological materials, including topological insulators (TIs) and topological semimetals (TSMs), offer promising platforms for quantum, spintronic, and low-dissipation electronic t…

cond-mat.mtrl-sci202510 cited

Stabilizing Single-Atom Catalysts on Metastable Phases of Transition Metal Dichalcogenides

Lina Wang, Zhenhai Wen, Guangfu Luo

Single-atom catalysts have attracted significant attention due to their exceptional atomic utilization and high efficiency in a range of catalytic reactions. However, these systems…

cond-mat.mtrl-sci202414 cited

Auto-resolving the atomic structure at van der Waals interfaces using a generative model

Wenqiang Huang, Yuchen Jin, Zhemin Li +12

The high-resolution visualization of atomic structures is significant for understanding the relationship between the microscopic configurations and macroscopic properties of materi…

cond-mat.mtrl-sci202428 cited

Revealing the molecular structures of a-Al2O3(0001)-water interface by machine learning based computational vibrational spectroscopy

Xianglong Du, Weizhi Shao, Chenglong Bao +3

Solid-water interfaces are crucial to many physical and chemical processes and are extensively studied using surface-specific sum-frequency generation (SFG) spectroscopy. To establ…

cond-mat.mtrl-sci2016139 cited

High anisotropy of fully hydrogenated borophene

Zhiqiang Wang, Tie-Yu Lü, Hui-Qiong Wang +2

We have studied the mechanical properties and phonon dispersions of fully hydrogenated borophene (borophane) under strains by first principles calculations. Uniaxial tensile strain…