PhD thesis: “Investigation of complex multicomponent alloys with machine-learning interatomic potentials”
Supervisor: Alexander Shapeev
Tatiana graduated from Moscow Institute of Physics and Technology with a Bachelor degree in 2014 (Thesis title: Modeling of interdiffusion processes in uranium and molybdenum) and then with Master degree in 2017 (Thesis title: Modeling of interdiffusion processes in uranium alloys by atomistic simulations) at the Department of Molecular and Chemical Physics. Her research in Skoltech is dedicated to the investigation of multicomponent alloys with the use of machine-learning interaction models. The basic approach of my work is founded on machine-learning interaction models that were developed earlier by her scientific advisor Alexander Shapeev.
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