computational homogenization
Two postdoc positions in computational multiscale mechanics
Two fully-funded postdoctoral positions of multiscale materials modeling and high-performance scientific computing in Germany; in the groups of Karsten Albe (https://www.mawi.tu-darmstadt.de/mm/home_mm/index.en.jsp) and Bernhard Eidel (https://www.mb.uni-siegen.de/heisenberg/index.html?lang=de). The call is open until positions are filled.
Two postdoc positions in computational mechanics at Czech Technical University in Prague
Two fully-funded postdoctoral positions in computational mechanics of materials and structures are available in the groups of Milan Jirásek (https://mech.fsv.cvut.cz/~milan) and Jan Zeman (https://openmechanics.fsv.cvut.cz/people/jan-zeman). Full description of the openings is available at https://euraxess.ec.europa.eu/jobs/573988, the call closes on 5 December 2020.
A nonlinear data-driven reduced order model for computational homogenization with physics/pattern-guided sampling
Developing an accurate nonlinear reduced order model from simulation data has been an outstanding research topic for many years. For many physical systems, data collection is very expensive and the optimal data distribution is not known in advance. Thus, maximizing the information gain remains a grand challenge. In a recent paper, Bhattacharjee and Matous (2016) proposed a manifold-based nonlinear reduced order model for multiscale problems in mechanics of materials. Expanding this work here, we develop a novel sampling strategy based on the physics/pattern-guided data distribution.
PostDoc position in multi-scale computational mechanics to study the impact failure of composites
Context
As part of a collaborative project between different Belgian industrial partners and Universities related to the study of composite laminate under impacts, the main objective of the doctoral position will be to develop a multi-scale numerical framework to study failure of the synthesized materials.
Ph.D. student position in mechanics of mechanical metamaterials
Professor Milan Jirásek at Faculty of Civil Engineering, Czech Technical University in Prague, is searching for a motivated Ph.D. student, who will work on our new ambitious project on non-periodic mechanical metamaterials. Candidates should be interested in and have some previous experience with mathematical modeling and numerical simulation of the mechanical response of materials and structures.
A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials
Since the beginning of the industrial age, material performance and design have been in the midst of innovation of many disruptive technologies. Today’s electronics, space, medical, transportation, and other industries are enriched by development, design and deployment of composite, heterogeneous and multifunctional materials. As a result, materials innovation is now considerably outpaced by other aspects from component design to product cycle. In this article, we review predictive nonlinear theories for multiscale modeling of heterogeneous materials.
A nonlinear manifold-based reduced order model
A new perspective on model reduction for nonlinear multi-scale analysis of heterogeneous materials. In this work, we seek meaningful low-dimensional structures hidden in high-dimensional multi-scale data.
Extreme Multiscale Modeling - 53.8 Billion finite elements
In our recent Extreme Mechanics Letter, we present a simulation consisting of 53.8 Billion finite elements with 28.1 Billion nonlinear equations that is solved on 393,216 computing cores (786,432 threads). The excellent parallel performance of the computational homogenization solver is demonstrated by a strong scaling test from 4,096 to 262,144 cores.
Looking for Research/Postdoc Opportunity.
Dear Fellow Members,
I am currently pursuing my PhD research under the supervision of Prof. Ralf Müller at the Institute for Applied Mechanics, TU Kaiserslautern, Germany. I have submitted my dissertation on October 2014. And expecting to defend my PhD work on March, 2015.