30 citations · 31 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2025★ 1 cited
Improving robustness and training efficiency of machine-learned potentials by incorporating short-range empirical potentials
Zihan Yan, Zheyong Fan, Yizhou Zhu
Machine learning force fields (MLFFs) are powerful tools for materials modeling, but their performance is often limited by training dataset quality, particularly the lack of rare e…
cond-mat.mes-hall2023★ 30 cited
Tensorial properties via the neuroevolution potential framework: Fast simulation of infrared and Raman spectra
Nan Xu, Petter Rosander, Christian Schäfer +7
Infrared and Raman spectroscopy are widely used for the characterization of gases, liquids, and solids, as the spectra contain a wealth of information concerning in particular the…