| PN 3-1 | Processing uncertain microstructural data |
| PN 3-1 (II) | Data-integrated scale bridging for all-solid state batteries: micro- to mesoscale |
| PN 3-2 | Data-based model reduction and reanalysis |
| PN 3-2 (II) | Reduced Model Reanalysis for Path-dependent Multifield Problems |
| PN 3-3 | Electrokinetic characterization of conducting two-phase flows in model porous media |
| PN 3-3 (II) | Electrokinetic characterization of conducting two-phase flows in model porous media |
| PN 3-4 | Characterization of potential energy surfaces using machinge-learning techniques |
| PN 3-4 (II) | Simulation of Surface Processes using Machine-Learned Potentials |
| PN 3-5 | Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media |
| PN 3-5 (II) | Data-driven multi-scale stability analysis of multi-stimuli-responsive hydrogels |
| PN 3-6 | Data-integrated simulation of enzymes |
| PN 3-7 | Strengthening mechanisms of Cu-Ni-Si-Cr alloys through simulations and Machine Learning potentials |
| PN 3-8 | Optimization of transferable force fields based on reduced order and surrogate models |
| PN 3-8 (II) | Pore topology and surface design for energy storage applications |
| PN 3-10.1 | Simulations of hydrogen embrittlement in Nibased super alloys |
| PN 3-10 (II) | Data-integrated scale bridging for all-solid state batteries: From electrons to atoms |
| PN 3-11 | Biological Molecular Dynamics Simulations 2.0 |
| PN 3-12 | Data-Integrated Simulation Of Magnetic Gels |
| PN 3-13 | A Data-Driven Approach to Viscous Fluid Dynamics |
| PN 3-14 | Approximation and learning density matrices |
Associated Projects
Project Network Coordinators
Manfred Bischoff
Prof. Dr.-Ing. habil.[Photo: SimTech/Max Kovalenko]