Jahresbericht 2017

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Continuum Mechanics
Prof.
Phaedon-
Stelios
Koutsourelakis,
Ph.D.
Contact
Phone +49.89.289.16690
Management
Prof. Phaedon-Stelios Koutsourelakis,
Ph.D., Director
Administrative Staff
Ms. S. Harnauer
Research Scientists
Dr. Isabell Franck
Markus Schöberl, M.Sc.
Constantin Grigo, M.Sc. (Physics)
M. Koschade, M.Sc.
L. Bruder (M.Sc. thesis)
L. Felsberger (M.Sc. thesis)
F. Bott (Semester thesis)
H. von Kleist (Bachelor’s thesis)
Research Focus
■■Uncertainty quantification
■■Random media
■■Coarse-graining in molecular dynamics
■■Bayesian inverse problems
■■Design/optimization under uncertainty
Competence
■■Computer simulation
■■Mathematical modeling of stochastic
systems
Infrastructure
■■256core HPC
Courses
B.Sc.
■■Uncertainty Quantification in
Mechanical Engineering (SS)
■■Modeling in Structural Mechanics (WS)
M.Sc.
■■Atomistic Modeling of Materials (WS)
■■Bayesian Strategies for Inverse
Problems (SS)
■■Journal Club Uncertainty Quantification
(WS-SS)
MSE
■■Continuum Mechanics (WS)
■■Probability Theory and Uncertainty
Quantification (WS)
■■Uncertainty Modeling in Engineering
(SS) (Top Teaching Trophy 2014, 2015,
2016)
Publications 2017
Archival Journal Publications
■■M. Schöberl, N. Zabaras, and P.S.
Koutsourelakis, Predictive Coarse-
Graining, Journal of Computational
Physics. Volume 333, 15 March 2017,
pp. 49-77
■■I.M. Franck, and P.S. Koutsourelakis,
Constitutive model error and uncertain-
ty quantification, Proceedings in
Applied Mathematics and Mechanics,
Wiley, November 2017
■■A. Quaglino, S. Pezzuto, P.S. Koutsou­
relakis, A. Auricchio, and R. Krause,
Fast uncertainty quantification in
patient-specific cardiac electrophysio­
logy meeting clinical time constraints,
accepted for publication International
Journal for Numerical Methods in
Biomedical Engineering, December
2017
Contributions to Scientific Conferences
and Symposia
■■C. Grigo, P.S. Koutsourelakis, Coarse-
grained models for PDEs with random
coefficients, SIAM Computational
Science and Engineering Conference,
March 2017, Atlanta, GA, USA
■■I. Franck and P.S. Koutsourelakis, Un­
certainty and constitutive model error
quantification, GAMM 2017, March
2017, Weimar, Germany
■■M. Koschade, P.S. Koutsourelakis,
Bayesian Multi-Fidelity Optimization
under Uncertainty, SIAM Computational
Science and Engineering Conference,
March 2017, Atlanta, GA, USA
■■M. Schöberl , N. Zabaras, P.S. Kout­
sourelakis, Bayesian Coarse-Graining
in Atomistic Simulations: Adaptive
Identification of the Dimensionality and
Salient Features, SIAM Computational
Science and Engineering Conference,
March 2017, Atlanta, GA, USA
■■C. Grigo, P.S. Koutsourelakis,
Reduced-Order Models for PDEs with
Random Coefficients, UNCECOMP
June 2017, Greece
■■M. Schöberl , N. Zabaras, C. Grigo, P.S.
Koutsourelakis, Probabilistic Coarse-
Graining: from Molecular Dynamics to
Stochastic PDEs, SIAM Workshop on
Parameter Space Dimension Reduction
July 2017, Pittsburg, PA, USA
■■M. Koschade, P.S. Koutsourelakis,
Optimization of Random Systems
Using Multi-Fidelity Models, Invited
Talk, SIAM Annual Meeting, July 2017,
Pittsburgh, PA, USA
■■P.S. Koutsourelakis, Physics-conver­
sant machine learning: from molecular
dynamics to stochastic PDEs, 46th
Workshop on High-Performance Com­
puting – Uncertainty Quantification and
HPC, Invited Talk, University of Bern,
September 2017
■■M. Schöberl, N. Zabaras, P.S. Kout­
sourelakis, Bayesian Coarse-Graining,
European Congress on advanced
materials and processes (EUROMAT),
September 2017, Greece