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physics.comp-ph2025
Machine-learned domain partitioning for computationally efficient coupling of continuum and particle simulations of membrane fabrication
Matthias Busch, Gregor Häfner, Jiayu Xie +4
All simulation approaches eventually face limits in computational scalability when applied to large spatiotemporal domains. This challenge becomes especially apparent in molecular-…
physics.comp-ph2025
Constitutive Kolmogorov-Arnold Networks (CKANs): Combining Accuracy and Interpretability in Data-Driven Material Modeling
Kian P. Abdolazizi, Roland C. Aydin, Christian J. Cyron +1
Hybrid constitutive modeling integrates two complementary approaches for describing and predicting a material's mechanical behavior: purely data-driven black-box methods and physic…