6 citations · 13 across the 6 of their papers we have counts for
6 papers
ML-extendable framework for multiphysics-multiscale simulation workflow and data management using Kadi4Mat
Somnath Bharech, Yangyiwei Yang, Michael Selzer +2
As material modeling and simulation has become vital for modern materials science, research data with distinctive physical principles and extensive volume are generally required fo…
Evaluation of tools for describing, reproducing and reusing scientific workflows
Philipp Diercks, Dennis Gläser, Ontje Lünsdorf +3
In the field of computational science and engineering, workflows often entail the application of various software, for instance, for simulation or pre- and postprocessing. Typicall…
Explainable artificial intelligence for mechanics: physics-informing neural networks for constitutive models
Arnd Koeppe, Franz Bamer, Michael Selzer +2
(Artificial) neural networks have become increasingly popular in mechanics to accelerate computations with model order reduction techniques and as universal models for a wide varie…
Breakup of liquid jets and the formation of satellite and subsatellite droplets
Fei Wang, Oleg Tschukin, Gabriel Cadilha Marques +3
A spontaneous breakup of a liquid jet results in the formation of a chain of droplets, which is a daily observed phenomenon, such as in the raining process and under an open water-…
Experience Report: Formal Methods in Material Science
Bernhard Beckert, Britta Nestler, Moritz Kiefer +2
Increased demands in the field of scientific computation require that algorithms be more efficiently implemented. Maintaining correctness in addition to efficiency is a challenge t…
Phase-field study of grain boundary tracking behavior in crack-seal microstructures
Kumar Ankit, Britta Nestler, Michael Selzer +1
In order to address the growth of crystals in veins, a multiphase-field model is used to capture the dynamics of crystals precipitating from a super-saturated solution. To gain a d…