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20212026
most citedTwo-stage 2D-to-3D reconstruction of realistic microstructures: Implementation and numerical validation by effective properties

36 citations · 57 across the 9 of their papers we have counts for

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7 papers · 1 filter

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…

cond-mat.mtrl-sci2024★ 14 cited

Inverse design of spinodoid structures using Bayesian optimization

Alexander Raßloff, 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…

cond-mat.mtrl-sci2023★ 4 cited

Reconstructing microstructures from statistical descriptors using neural cellular automata

Paul Seibert, Alexander Raßloff, Yichi Zhang +4

The problem of generating microstructures of complex materials in silico has been approached from various directions including simulation, Markov, deep learning and descriptor-base…

cond-mat.mtrl-sci2023★ 36 cited

Two-stage 2D-to-3D reconstruction of realistic microstructures: Implementation and numerical validation by effective properties

Paul Seibert, Alexander Raßloff, Karl Kalina +4

Realistic microscale domains are an essential step towards making modern multiscale simulations more applicable to computational materials engineering. For this purpose, 3D compute…

cond-mat.mtrl-sci2022★ 1 cited

Microstructure Characterization and Reconstruction in Python: MCRpy

Paul Seibert, Alexander Raßloff, Karl Kalina +2

Microstructure characterization and reconstruction (MCR) is an important prerequisite for empowering and accelerating integrated computational materials engineering. Much progress…

cond-mat.mtrl-sci2021

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…

cond-mat.mtrl-sci2021

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…