Скачать или смотреть Robust Geometry Processing for Physical Simulation and Shape Optimization - Daniele Panozzo – NYU -

This recording is part of the CDFAM Computational Design (+DfAM) Symposium and features Daniele Panozzo, associate professor at the Courant Institute of Mathematical Sciences at New York University.
See all CDFAM presentations an interviews with speakers at https://cdfam.com/archive/

Presentation Title: Robust Geometry Processing for Physical Simulation and Shape Optimization

Abstract:
Daniele Panozzo presents an in-depth session on 'Robust Geometry Processing for Physical Simulation and Shape Optimization'. Panozzo, who heads a research lab at NYU, has been instrumental in advancing meshing techniques that enable automation and optimization in design. In this presentation, he elucidates these advancements, with a particular focus on how they have been made available as open source code on GitHub, benefitting software companies like nTopology. He specifically discusses the influence and applications of projects like TetWild and PolyFEM. These innovations underscore the future potential and scalability of robust geometry processing.

Audience:
This session is intended for professionals, researchers, and academics in the fields of computational design, additive manufacturing, and geometry processing. Those who are interested in the impact of robust geometry processing on physical simulations, shape optimization, and meshing techniques will find this session particularly useful.

Please note: The CDFAM Computational Design (+DfAM) Symposium is a prestigious platform for the exchange of knowledge among leaders in computational design and additive manufacturing. This recording is made available for educational and professional development purposes.