PN 3: Project Overview

PN 3-1	Processing uncertain microstructural data
PN 3-2	Data-based model reduction and reanalysis
PN 3-3	Electrokinetic characterization of conducting two-phase flows in model porous media
PN 3-4	Characterization of potential energy surfaces using machinge-learning techniques
PN 3-5	Data-integrated Multiscale Modeling of Diffusion-driven Processes in Porous Media
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 3-10	Simulations of hydrogen embrittlement in Nibased super alloys
PN 3-11	Biological Molecular Dynamics Simulations 2.0

PN 3A-1	Machine Learning Methods for the Simulation of Physical Systems
PN 3A-2	Data-supported Simulation and Surrogate Modeling of Mechanical Systems
PN 3A-3	Simulation and experimental validation of residual stresses in laser-generated composite materials