Clovis Lapointe

Efficient and transferable machine learning potentials for the simulation of crystal defects in bcc Fe and W

Alexandra M. Goryaeva, Julien Dérès, Clovis Lapointe et al. · Physical Review Materials · 2021 · 71 citations · Full text

Engineering, Machine Learning, Point Defects +22

Reinforcing materials modelling by encoding the structures of defects in crystalline solids into distortion scores

Alexandra M. Goryaeva, Clovis Lapointe, Chendi Dai et al. · Nature Communications · 2020 · 48 citations · Full text

Extrapolating Unconverged GW Energies up to the Complete Basis Set Limit with Linear Regression

Fabien Bruneval, Ivan Maliyov, Clovis Lapointe et al. · Journal of Chemical Theory and Computation · 2020 · 22 citations

Numerical Analysis, Engineering, Computational Chemistry +17

Interatomic potentials for irradiation-induced defects in iron

Rebecca Alexander, Laurent Proville, C.S. Becquart et al. · Journal of Nuclear Materials · 2020 · 20 citations · Full text

Engineering, Physics, Corrosion +5

Machine learning surrogate models for prediction of point defect vibrational entropy

Clovis Lapointe, Thomas D. Swinburne, Louis Thiry et al. · Physical Review Materials · 2020 · 19 citations · Full text

Engineering, Machine Learning, Point Defects +21