49 citations · 52 across the 2 of their papers we have counts for
4 papers
Maximum volume simplex method for automatic selection and classification of atomic environments and environment descriptor compression
Behnam Parsaeifard, Daniele Tomerini, Deb Sankar De +1
Fingerprint distances, which measure the similarity of atomic environments, are commonly calculated from atomic environment fingerprint vectors. In this work we present the simplex…
Detecting non-local effects in the electronic structure of a simple covalent system with machine learning methods
Behnam Parsaeifard, Jonas A. Finkler, Stefan Goedecker
Using methods borrowed from machine learning we detect in a fully algorithmic way long range effects on local physical properties in a simple covalent system of carbon atoms. The f…
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…
Controlling Cost in Sandpile Models Through Local Adjustment of Drive
Behnam Parsaeifard, Saman Moghimi-Araghi
In this paper we consider sandpile models and modify the drive mechanisms to control the size of avalanches. The modification to the drive mechanism is local. We have studied the s…