3 papers
physics.comp-ph2026
qNEP: A highly efficient neuroevolution potential with dynamic charges for large-scale atomistic simulations
Zheyong Fan, Benrui Tang, Esmée Berger +13
Although electrostatics can be incorporated into machine-learned interatomic potentials, existing approaches are computationally very demanding, limiting large-scale, long-time sim…
cond-mat.mtrl-sci2026
Electric field switching of altermagnetic spin-splitting in multiferroic skyrmions
Gui Wang, Yuhang Li, Bin Li +26
Magnetic skyrmions are localized magnetic structures that retain their shape and stability over time, thanks to their topological nature. Recent theoretical and experimental progre…
cond-mat.mtrl-sci2025
Device-Scale Atomistic Simulations of Heat Transport in Advanced Field-Effect Transistors
Ke Xu, Gang Wang, Ting Liang +8
Self-heating in next-generation, high-power-density field-effect transistor limits performance and complicates fabrication. Here, we introduce NEP-FET, a machine-learned framework…