Alexandra M. Goryaeva

Perspectives on multiscale modelling and experiments to accelerate materials development for fusion

Mark R. Gilbert, Kazuto Arakawa, Zachary Bergstrom et al. · Journal of Nuclear Materials · 2021 · 83 citations · Full text

Materials Science, Materials Development, Engineering +10

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

Towards better efficiency of interatomic linear machine learning potentials

Alexandra M. Goryaeva, Jean‐Bernard Maillet, Mihai‐Cosmin Marinica · Computational Materials Science · 2019 · 51 citations · Full text

Engineering, Computational Learning Theory, Machine Learning +3

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

Quantum de-trapping and transport of heavy defects in tungsten

Kazuto Arakawa, Mihai‐Cosmin Marinica, S. P. Fitzgerald et al. · Nature Materials · 2020 · 40 citations · Full text

Quantum Science, Engineering, Physics +6