S. Keshav, J. Herb, und F. Fritzen. Software, (2025)Related to: S. Keshav, J. Herb and F. Fritzen, Spectral Normalization and Voigt–Reuss net: A universal approach to microstructure-property forecasting with physical guarantees, GAMM-Mitteilungen. (2025), e70005. doi: 10.1002/gamm.70005.
Y. Ou, Y. Ikeda, L. Scholz, S. Divinski, F. Fritzen, und B. Grabowski. Dataset, (2024)Related to: Yongliang Ou, Yuji Ikeda, Lena Scholz, Sergiy Divinski, Felix Fritzen, Blazej Grabowski (2024). Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials. arXiv: 2407.04126.
F. Fritzen, J. Herb, und S. Sharba. Software, (2024)Related to: Fritzen, Felix and Herb, Julius and Sharba, Shadi, Thermo-plastic Nonuniform Transformation Field Analysis for eigenstress analysis of materials undergoing laser melt injection, Computer Methods in Applied Mechanics and Engineering (2024). doi: 10.1016/j.cma.2024.117487.
J. Kneifl, J. Rettberg, und J. Herb. Software, (2024)Related to: Johannes Rettberg, Jonas Kneifl, Julius Herb, Patrick Buchfink, Jörg Fehr, and Bernard Haasdonk. Data-driven identification of latent port-Hamiltonian systems. Arxiv, 2024. arXiv: 2408.08185.
J. Lißner. Software, (2023)Related to: Lißner, Julian and Fritzen, Felix. (2023). Hybrid machine-learned homogenization: Bayesian data mining and convolutional neural networks. arXiv: 2302.12545.
J. Lißner. Dataset, (2020)Related to: Lißner, Julian, and Felix Fritzen. "Data-Driven Microstructure Property Relations." Mathematical and Computational Applications 24.2 (2019): 57. doi: 10.3390/mca24020057.
