Fast, curvature-based prediction of rolling forces for porous media based on a series of detailed simulations. - Thomas Wiederkehr; Benjamin Klusemann; Heinrich Müller; Bob Svendsen (Adv. Eng. Softw., 2011)

Development and comparison of spectral algorithms for numerical modeling of the quasi-static mechanical behavior of inhomogeneous materials. - Mohammad Khorrami; Jaber Rezaei Mianroodi; Pratheek Shanthraj; Bob Svendsen (CoRR, 2020)

A geometrically adapted reduced set of frequencies for a FFT-based microstructure simulation. - Christian Gierden; Johanna Waimann; Bob Svendsen; Stefanie Reese (CoRR, 2021)

Accelerating phase-field-based simulation via machine learning. - Iman Peivaste; Nima H. Siboni; Ghasem Alahyarizadeh; Reza Ghaderi; Bob Svendsen; Dierk Raabe; Jaber Rezaei Mianroodi (CoRR, 2022)

Comparison of two artificial neural networks trained for the surrogate modeling of stress in materially heterogeneous elastoplastic solids. - Sarthak Kapoor; Jaber Rezaei Mianroodi; Mohammad Khorrami; Nima H. Siboni; Bob Svendsen (CoRR, 2022)

Divergence-free neural operators for stress field modeling in polycrystalline materials. - Mohammad Khorrami; Pawan Goyal 003; Jaber Rezaei Mianroodi; Bob Svendsen; Peter Benner; Dierk Raabe (CoRR, 2024)