3 papers
cond-mat.mtrl-sci2026
Generative reconstruction of 2D and 3D polycrystalline microstructures using symmetrized hyperspherical harmonics
Ali R. Safi, Paul Seibert, Santiago Benito +3
Establishing structure-property linkages in polycrystalline materials requires representative two- (2D) and three- (3D) dimensional microstructural inputs for full-field simulation…
cs.CE2026
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
Mihaela Chiappetta, Massimo Carraturo, Alexander RaÃloff +2
The present paper proposes a Bayesian framework for inverse problems that seamlessly integrates optimization and inversion to enable rapid surrogate modeling, accurate parameter in…
cond-mat.mtrl-sci2024
Inverse design of spinodoid structures using Bayesian optimization
Alexander RaÃloff, Paul Seibert, Karl A. Kalina +1
Tailoring materials to achieve a desired behavior in specific applications is of significant scientific and industrial interest as design of materials is a key driver to innovation…