2 papers
cond-mat.mtrl-sci2024
Hydrogen Diffusion in Magnesium Using Machine Learning Potentials: a comparative study
Andrea Angeletti, Luca Leoni, Dario Massa +3
Understanding and accurately predicting hydrogen diffusion in materials is challenging due to the complex interactions between hydrogen defects and the crystal lattice. These inter…
cond-mat.mtrl-sci2024
Transfer Learning in Materials Informatics: structure-property relationships through minimal but highly informative multimodal input
Dario Massa, Grzegorz Kaszuba, Stefanos Papanikolaou +1
In this work we propose simple, effective and computationally efficient transfer learning approaches for structure-property relation predictions in the context of materials, with h…