most citedHundreds of new, stable, one-dimensional materials from a generative machine learning model

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cond-mat.mtrl-sci2025

Dispersion-corrected Machine Learning Potentials for 2D van der Waals Materials

Mikkel Ohm Sauer, Peder Meisner Lyngby, Kristian Sommer Thygesen

Machine-learned interatomic potentials (MLIPs) based on message passing neural networks hold promise to enable large-scale atomistic simulations of complex materials with ab initio…

cond-mat.mtrl-sci2022★ 1 cited

Hundreds of new, stable, one-dimensional materials from a generative machine learning model

Hadeel Moustafa, Peder Meisner Lyngby, Jens Jørgen Mortensen +2

We use a generative neural network model to create thousands of new, one-dimensional materials. The model is trained using 508 stable one-dimensional materials from the Computation…