698 citations
- Technische Universität DresdenDE116 papers
- Leibniz Institute for Solid State and Materials ResearchDE26 papers
- Max Bergmann Zentrum für BiomaterialienDE18 papers
- Center for Advancing Electronics DresdenDE17 papers
- Chemnitz University of TechnologyDE8 papers
- Complexity and Topology in Quantum MatterDE8 papers
- Fraunhofer Institute for Electronic Nano SystemsDE8 papers
- Oakland UniversityUS8 papers
- Center for Systems Biology DresdenDE7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Institució Catalana de Recerca i Estudis AvançatsES6 papers
- Institut Català de Nanociència i NanotecnologiaES6 papers
116 papers
Precise, efficient and flexible modeling of crystallizing elastomers based on physics-augmented neural networks
Konrad Friedrichs, Franz Dammaß, Karl A. Kalina +1
We propose a precise and efficient physics-augmented neural network (PANN) to model strain-induced crystallization in rubbery polymers. We demonstrate that the model can be flexibl…
Solid-State Dewetting of Polycrystalline Thin Films: a Phase Field Approach
Paul Hoffrogge, Nils Becker, Daniel Schneider +3
Solid-state dewetting is the process by which thin solid films break up and retract on a substrate, forming nanostructures. While dewetting of single-crystalline films is understoo…
Modeling dislocations in quasicrystals through amplitude equations
Marcello De Donno, Luiza Angheluta, Marco Salvalaglio
Quasicrystals (QCs) are a class of aperiodic ordered structures that emerge in various systems, from metallic alloys to soft matter and driven non-equilibrium systems. Within a mes…
When invariants matter: The role of I1 and I2 in neural network models of incompressible hyperelasticity
Franz Dammaß, Karl A. Kalina, Markus Kästner
For the formulation of machine learning-based material models, the usage of invariants of deformation tensors is attractive, since this can a priori guarantee objectivity and mater…
Why Grain Growth is Not Curvature Flow
Caihao Qiu, David J. Srolovitz, Gregory S. Rohrer +2
Grain growth in polycrystals is traditionally considered a capillarity-driven process, where grain boundaries (GBs) migrate toward their centers of curvature (i.e., mean curvature…
Inferring traits of hyperuniformity from local structures via persistent homology
Abel H. G. Milor, Marco Salvalaglio
Hyperuniformity refers to the suppression of density fluctuations at large scales. Typical for ordered systems, this property also emerges in several disordered physical and biolog…