Publications

Luis Mandl, Somdatta Goswami, Lena Lambers, und Tim Ricken. Separable physics-informed DeepONet: Breaking the curse of dimensionality in physics-informed machine learning. Computer Methods in Applied Mechanics and Engineering, (434):117586, 2025. [PUMA: PN2 PN2-2 atlas exc2075 hybrid-mor isd myown qualiperf rg-ml updated] URL

Hans‐Michael Tautenhahn, Tim Ricken, Uta Dahmen, Luis Mandl, Laura Bütow, Steffen Gerhäusser, Lena Lambers, Xinpei Chen, Elina Lehmann, Olaf Dirsch, und Matthias König. SimLivA–Modeling ischemia‐reperfusion injury in the liver: A first step towards a clinical decision support tool. GAMM-Mitteilungen, Wiley, Januar 2024. [PUMA: EXC2075 PN2 atlas biomechanics isd liver myown qualiperf rg-compbio simliva transplantation updated] URL

Luis Mandl, André Mielke, Seyed Morteza Seyedpour, und Tim Ricken. Affine transformations accelerate the training of physics-informed neural networks of a one-dimensional consolidation problem. Scientific Reports, (13):15566, 20.09.2023. [PUMA: atlas hybrid-mor isd machine-learning myown neural-network physics-informed qualiperf rg-ml simliva] URL