Scholar
Phaedon-Stelios Koutsourelakis
Google Scholar ID: 1L868DIAAAAJ
Professorship of Data-driven Materials Modeling
Citations & Impact
Citations
2,737
H-index
21
i10-index
35
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recent publications include:
- — 'Design-GenNO: A Physics-Informed Generative Model with Neural Operators for Inverse Microstructure Design'
- — 'Efficient Bayesian multi-fidelity inverse analysis for expensive and non-differentiable physics-based simulations in high stochastic dimensions'
- — 'Energy-Based Coarse-Graining in Molecular Dynamics: A Flow-Based Framework Without Data'
- Maintains a public GitHub repository with code from recent research
Research Experience
- Leads the Professorship for Data-driven Materials Modeling at TUM School of Engineering and Design
- Conducts research in areas including:
- — Stochastic inversion of the process-structure-property chain in materials
- — Nonlinear forward and inverse stochastic problems in medical diagnostics
- — Coarse-graining in equilibrium statistical mechanics
- — Model-order and dimension reduction of random heterogeneous media
- — Physics-constrained, data-driven discovery of coarse-grained dynamics
- Collaborates with BMW on data-driven modeling of structural foams for high-voltage storage
- Supervises PhD projects on machine learning in biomechanics
