3 papers
cond-mat.mtrl-sci2026
Multiscale Modelling of Ferroelectrics using a Physics-Informed Neural Network Driven by Molecular Dynamics Data: Parameter Identification and Field Reconstruction
Xuejian Wang, Frank Wendler, Hikaru Auzuma +5
In multiscale modeling of ferroelectrics, combining atomistic simulation with continuum-scale phase-field models (PFM) remains a fundamental challenge. A key difficulty lies in fai…
cond-mat.mtrl-sci2025
An intermediately-homogenized peridynamics approach to failure of microstructually disordered materials
Shucheta Shegufta, Michael Zaiser
Peridynamics provides a versatile tool for fracture modelling in materials where fracture pathways cannot be predicted beforehand, but must be envisaged as an emergent features of…
cond-mat.soft2025
Peridynamics based model of anticrack-type fracture in brittle foams
Shucheta Shegufta, Michael Zaiser
A particular failure mode of highly porous brittle materials consists in the propagation of cracks under uniaxial compressive loads. Such 'anticracks' have been observed in a range…