activity
20152023
most citedQuantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine-learning molecular dynamics simulations

82 citations · 368 across the 13 of their papers we have counts for

collaborators
Showing 2019 · cond-mat.mtrl-sciShow all

2 papers · 2 filters

cond-mat.mtrl-sci2019

Fully analytic valence force field model for the elastic and inner elastic properties of diamond and zincblende crystals

Daniel S. P. Tanner, Miguel A. Caro, Stefan Schulz +1

Using a valence force field model based on that introduced by Martin, we present three related methods through which we analytically determine valence force field parameters. The m…

cond-mat.mtrl-sci2019

Towards the computational experiment

Miguel A. Caro

We give a brief account of the current limitations and possibilities in the field of computational simulation of materials. We then focus on the effect that the emergence of machin…