97 citations · 270 across the 4 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
physics.comp-ph2020★ 49 cited
An assessment of the structural resolution of various fingerprints commonly used in machine learning
Behnam Parsaeifard, Deb Sankar De, Anders S. Christensen +6
Atomic environment fingerprints are widely used in computational materials science, from machine learning potentials to the quantification of similarities between atomic configurat…
cond-mat.mtrl-sci2020★ 40 cited
Transferability of neural network potentials for varying stoichiometry: phonons and thermal conductivity of MnGe compounds
Claudia Mangold, Shunda Chen, Giuseppe Barbalinardo +7
Germanium manganese compounds exhibit a variety of stable and metastable phases with different stoichiometry. These materials entail interesting electronic, magnetic and thermal pr…