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Microsoft Research Audio 103751: Numerical algorithms in material s...
by Microsoft Research
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The talk will consist of two parts. In the first part, I
will present prior work aimed at developing new
algorithms for materials science applications. I
developed a novel numerical method to optimize the shape
of mechanical parts and maximize their strength. This
optimization problem was extremely challenging as it
involved changing the topology and therefore classical
optimization methods do not apply. A similar idea can be
applied to model shape memory alloys and plasticity in
metals. In this project, the optimization led to the
construction of a tree of laminated microstructures.
Constraints from mechanical equilibrium were used to
construct an adaptive tree and to determine the optimal
number of levels.
The second part involves more recent work. I will present
the implementation of a new heat flux algorithm to
understand failures in micro-devices in LAMMPS (Large-
scale Atomic/Molecular Massively Parallel Simulator);
LAMMPS is a high performance code which was benchmarked
on Blue Gene L with 90% parallel efficiency. Also I am
currently extending the capabilities of ParaDiS (Parallel
Dislocation Simulator), another high performance code
which has run on 135k processors of Blue Gene L.
2008 Microsoft Corporation. All rights reserved.
Date Published: 2013-11-23 11:55:59
Identifier: Microsoft_Research_Audio_103751
Item Size: 31953939
Language: english
Media Type: audio
# Topics
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