The following studies used FANS extensively as a primary data-generation tool.
- Sanath Keshav and Felix Fritzen. Robust Inverse Material Design With Physical Guarantees Using the Voigt–Reuss Net. International Journal for Numerical Methods in Engineering, 127(7), 2026. (10.1002/nme.70296)
- Yongliang Ou, Lena Scholz, Sanath Keshav, Yuji Ikeda, Marvin Kraft, Sergiy V. Divinski, Rafael Gómez-Bombarelli, Wolfgang Zeier, Felix Fritzen, and Blazej Grabowski. Non-Arrhenius Li-ion transport and grain-size effects in argyrodite solid electrolytes. Preprint, 2026. (10.21203/rs.3.rs-7913719/v1)
- Alexandra Otto, Max Rosenkranz, Karl A. Kalina, and Markus Kästner. Data-Driven Inverse Design of Spinodoid Architected Materials. GAMM-Mitteilungen, 48(4), 2025. (10.1002/gamm.70008)
- Max Rosenkranz, Markus Kästner, and Ivo F. Sbalzarini. Data-Efficient Inverse Design of Spinodoid Metamaterials. Integrating Materials and Manufacturing Innovation, 14(4), 695–713, 2025. (10.1007/s40192-025-00426-1)
- Sanath Keshav, Julius Herb, and Felix Fritzen. Spectral Normalization and Voigt–Reuss Net: A universal approach to microstructure-property forecasting with physical guarantees. GAMM-Mitteilungen, 48(3), 2025. (10.1002/gamm.70005)
- Felix Fritzen, Julius Herb, and Shadi Sharba. Thermo-plastic Nonuniform Transformation Field Analysis for eigenstress analysis of materials undergoing laser melt injection. Computer Methods in Applied Mechanics and Engineering, 433, 117487, 2025. (10.1016/j.cma.2024.117487)
- Julian Lißner and Felix Fritzen. Microstructure homogenization: human vs machine. Advanced Modeling and Simulation in Engineering Sciences, 11(1), 2024. (10.1186/s40323-024-00275-1)
- Shadi Sharba, Julius Herb, and Felix Fritzen. Reduced order homogenization of thermoelastic materials with strong temperature dependence and comparison to a machine-learned model. Archive of Applied Mechanics, 93(7), 2855–2876, 2023. (10.1007/s00419-023-02411-6)
- Sanath Keshav, Felix Fritzen, and Matthias Kabel. FFT-based homogenization at finite strains using composite boxels (ComBo). Computational Mechanics, 71(1), 191–212, 2022. (10.1007/s00466-022-02232-4)