output
20022026
most citedSecure Wireless Communication via Intelligent Reflecting Surface

328 citations

Showing cond-mat.mtrl-sciShow all

21 papers · 1 filter

cond-mat.mtrl-sci2026

Interface-Controlled Defect Engineering in TiN/TaN Superlattices for Enhanced Hardness and Fracture Toughness

Zecui Gaoa, Qimin Wang, Julian Buchinger +6

TiNTaN superlattice coatings were designed to investigate how atomic-scale interface chemistry and defect-stabilized TaN layers govern hardness and fracture toughness. Guided by fi…

cond-mat.mtrl-sci2024★ 29 cited

Insight into the effect of force error on the thermal conductivity from machine-learned potentials

Wenjiang Zhou, Nianjie Liang, Xiguang Wu +3

Machine-learned potentials (MLPs) have been extensively used to obtain the lattice thermal conductivity via atomistic simulations. However, the impact of force errors in various ML…

cond-mat.mtrl-sci2024★ 11 cited

Predicting doping strategies for ternary nickel-cobalt-manganese cathode materials to enhance battery performance using graph neural networks

Zirui Zhao, Dong Luo, Shuxing Wu +3

The exceptional electrochemical performance of lithium-ion batteries has spurred considerable interest in advanced battery technologies, particularly those utilizing ternary nickel…

cond-mat.mtrl-sci2024★ 85 cited

Room-temperature sub-100 nm Néel-type skyrmions in non-stoichiometric van der Waals ferromagnet with ultrafast laser writability

Zefang Li, Huai Zhang, Guanqi Li +15

Realizing room-temperature magnetic skyrmions in two-dimensional van der Waals ferromagnets offers unparalleled prospects for future spintronic applications. However, due to the in…

cond-mat.mtrl-sci2024★ 104 cited

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials

Haikuan Dong, Yongbo Shi, Penghua Ying +9

Molecular dynamics (MD) simulations play an important role in understanding and engineering heat transport properties of complex materials. An essential requirement for reliably pr…

cond-mat.mtrl-sci2024★ 41 cited

Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics

Xiguang Wu, Wenjiang Zhou, Haikuang Dong +5

Machine learned potentials (MLPs) have been widely employed in molecular dynamics (MD) simulations to study thermal transport. However, literature results indicate that MLPs genera…