Mingfeng Liu

activity

20202025

most citedStructure-driven intercalated architecture of septuple-atomic-layer

M A_{2} Z_{4}

family with diverse properties from semiconductor to topological insulator to Ising superconductor

468 citations · 568 across the 9 of their papers we have counts for

collaborators

Showing 2023Show all

3 papers · 1 filter

cond-mat.mtrl-sci2023★ 36 cited

Layer-by-layer phase transformation in Ti $_{3}$ O $_{5}$ revealed by machine learning molecular dynamics simulations

Mingfeng Liu, Jiantao Wang, Junwei Hu +11

Reconstructive phase transitions involving breaking and reconstruction of primary chemical bonds are ubiquitous and important for many technological applications. In contrast to di…

cond-mat.mtrl-sci2023★ 14 cited

Comprehensive ab initio study of effects of alloying elements on generalized stacking fault energies of Ni and Ni $_{3}$ Al

Heyu Zhu, Jiantao Wang, Yun Chen +5

Excellent high-temperature mechanical properties of Ni-based single crystal superalloys (NSCSs) are attributed to the yield strength anomaly of Ni $_{3}$ Al that is intimately relate…

cond-mat.mtrl-sci2023★ 33 cited

On parent structures of near-ambient nitrogen-doped lutetium hydride superconductor

Mingfeng Liu, Xiangyang Liu, Jiangxu Li +4

Recently, near-ambient superconductivity has been experimentally evidenced in a nitrogen-doped lutetium hydride by Dasenbrock-Gammon \emph{et al.} [Nature 615, 244 (2023)], which y…

Layer-by-layer phase transformation in Ti3​O5​ revealed by machine learning molecular dynamics simulations

Comprehensive ab initio study of effects of alloying elements on generalized stacking fault energies of Ni and Ni3​Al

On parent structures of near-ambient nitrogen-doped lutetium hydride superconductor

Layer-by-layer phase transformation in Ti $_{3}$ O $_{5}$ revealed by machine learning molecular dynamics simulations

Comprehensive ab initio study of effects of alloying elements on generalized stacking fault energies of Ni and Ni $_{3}$ Al