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Emerging Topology and Shape Optimization Techniques in Computational Materials Design

Ahmad Najafi, Drexel University

Kai James, University of Illinois, Urbana-Champaign

Masoud Safdari, University of Illinois, Urbana-Champaign

Scott Miller, Sandia National Laboratories

Gregory Bunting, Sanda National Laboratories

Timothy Walsh, Sandia National Laboratories

Emilio Carlos Nelli Silva, USP

Glaucio Paulino, Georgia Institute of Technology

Miguel Aguilo, Sandia National Laboratories

This minisymposium focuses on all aspects of optimization strategies for large scale systems and the design of novel materials. We are particularly interested in optimization problems with high-dimensional parameter spaces that lend themselves to gradient-based optimization.  Contributions from inverse optimization, control problems, and/or design optimization are sought, in particular cross-cutting talks that discuss methods that are applicable across a range of optimization problems are welcome. Thus we aim to bring together researchers working on state-of-the-art optimization problems, including topology and shape optimization techniques with direct application in materials design to exchange ideas, present novel developments, and discuss recent advances. Topics of interest include, but are not limited to:

• High Performance Computing (HPC)

• Novel and efficient topology optimization algorithms

• Methods to handle manufacturing, stress and other constraints

• Multi-objective topology optimization problems

• Adaptive mesh refinement in topology optimization of solids and fluids 

• Multiscale design of materials

• Design of lattice materials

• Design of nonlinear materials 

• Reduced-order multiscale modeling for design

• Simultaneous material and structure optimization 

• Optimization under uncertainty

• Bioinspired design of composites 

• Design of metamaterials

• Smart material design

• Software