187 citations
- Montanuniversität LeobenAT10 papers
- KTH Royal Institute of TechnologySE8 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Graz University of TechnologyAT5 papers
- Centre de Physique ThéoriqueFR4 papers
- École PolytechniqueFR4 papers
- Skolkovo Institute of Science and TechnologyRU4 papers
- University of GenevaCH4 papers
- Collège de FranceFR3 papers
- École Polytechnique Fédérale de LausanneCH3 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ3 papers
- Nawi GrazAT3 papers
Showing 2022Show all
3 papers · 1 filter
cond-mat.mtrl-sci2022★ 8 cited
AI-accelerated Materials Informatics Method for the Discovery of Ductile Alloys
Ivan Novikov, Olga Kovalyova, Alexander Shapeev +1
In computational materials science, a common means for predicting macroscopic (e.g., mechanical) properties of an alloy is to define a model using combinations of descriptors that…
cond-mat.mtrl-sci2022★ 10 cited
Accurate ab initio modeling of solid solution strengthening in high entropy alloys
Franco Moitzi, Lorenz Romaner, Andrei V. Ruban +1
High entropy alloys (HEA) represent a class of materials with promising properties, such as high strength and ductility, radiation damage tolerance, etc. At the same time, a combin…
cs.LG2022★ 1 cited
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering
João Machado de Freitas, Sebastian Berg, Bernhard C. Geiger +1
In this paper, we frame homogeneous-feature multi-task learning (MTL) as a hierarchical representation learning problem, with one task-agnostic and multiple task-specific latent re…