2 citations · 2 across the 4 of their papers we have counts for
4 papers
An Efficient Bayesian Framework for Inverse Problems via Optimization and Inversion: Surrogate Modeling, Parameter Inference, and Uncertainty Quantification
Mihaela Chiappetta, Massimo Carraturo, Alexander Raßloff +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…
Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors
Paul Seibert, Markus Husert, Maximilian P. Wollner +2
Microstructure reconstruction is an important and emerging aspect of computational materials engineering and multiscale modeling and simulation. Despite extensive research and fast…
Descriptor-based reconstruction of three-dimensional microstructures through gradient-based optimization
Paul Seibert, Alexander Raßloff, Marreddy Ambati +1
Microstructure reconstruction is an important cornerstone to the inverse materials design concept. In this work, a general algorithm is developed to reconstruct a three-dimensional…
Reconstructing random heterogeneous media through differentiable optimization
Paul Seibert, Marreddy Ambati, Alexander Raßloff +1
Microstructure reconstruction is a key enabler of process-structure-property linkages, a central topic in materials engineering. Revisiting classical optimization-based reconstruct…