Self-supervised optimization of random material microstructures in the small-data regime. - Maximilian Rixner; Phaedon-Stelios Koutsourelakis (CoRR, 2021)

A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables. - Maximilian Rixner; Phaedon-Stelios Koutsourelakis (J. Comput. Phys., 2021)

In silico high-resolution whole lung model to predict the locally delivered dose of inhaled drugs. - Maximilian J. Grill; Jonas Biehler; Karl-Robert Wichmann; David Rudlstorfer; Maximilian Rixner; Marie Brei; Jakob Richter; Joshua Bügel; Nina Pischke; Wolfgang A. Wall; Kei W. Müller (CoRR, 2023)