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20192023
most citedGPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

463 citations · 894 across the 10 of their papers we have counts for

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Showing 2022Show all

4 papers · 1 filter

cond-mat.mtrl-sci2022★ 53 cited

Limits of the phonon quasi-particle picture at the cubic-to-tetragonal phase transition in halide perovskites

Erik Fransson, Petter Rosander, Fredrik Eriksson +3

The soft modes associated with continuous-order phase transitions are associated with strong anharmonicity. This leads to the overdamped limit where the phonon quasi-particle pictu…

physics.comp-ph2022★ 463 cited

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Zheyong Fan, Yanzhou Wang, Penghua Ying +17

We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2…

cond-mat.mtrl-sci2022★ 12 cited

High-throughput characterization of transition metal dichalcogenide alloys: Thermodynamic stability and electronic band alignment

Christopher Linderälv, J. Magnus Rahm, Paul Erhart

Alloying offers a way to tune many of the properties of the transition metal dichalcogenide (TMD) monolayers. While these systems in many cases have been thoroughly investigated pr…

cond-mat.mtrl-sci2022★ 12 cited

Computational Design of Alloy Nanostructures for Optical Sensing of Hydrogen

Pernilla Ekborg-Tanner, J. Magnus Rahm, Victor Rosendal +4

Pd nanoalloys show great potential as hysteresis-free, reliable hydrogen sensors. Here, a multi-scale modeling approach is employed to determine optimal conditions for optical hydr…