27 citations · 47 across the 3 of their papers we have counts for
3 papers
Hyperactive Learning (HAL) for Data-Driven Interatomic Potentials
Cas van der Oord, Matthias Sachs, Dávid Péter Kovács +2
Data-driven interatomic potentials have emerged as a powerful class of surrogate models for {\it ab initio} potential energy surfaces that are able to reliably predict macroscopic…
Performant implementation of the atomic cluster expansion (PACE): Application to copper and silicon
Yury Lysogorskiy, Cas van der Oord, Anton Bochkarev +8
The atomic cluster expansion is a general polynomial expansion of the atomic energy in multi-atom basis functions. Here we implement the atomic cluster expansion in the performant…
Regularised Atomic Body-Ordered Permutation-Invariant Polynomials for the Construction of Interatomic Potentials
Cas van der Oord, Geneviève Dusson, Gabor Csanyi +1
We investigate the use of invariant polynomials in the construction of data-driven interatomic potentials for material systems. The "atomic body-ordered permutation-invariant polyn…