会議情報

GD/SPM 2021: SIAM Conference on Geometric and Physical Modeling

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提出日:
2021-03-05
通知日:
会議日:
2021-09-27
場所:
Davis, California, USA
年:
19
閲覧: 30871   追跡: 0   出席: 0

論文募集

GD/SPM 2021 (SIAM Conference on Geometric and Physical Modeling) is an academic conference held in Davis, California, USA on 2021-09-27. The paper submission deadline is 2021-03-05.

This is the meeting of the SIAM Activity Group on Geometric Design, and in cooperation with ACM SIGGRAPH, incorporating the 2021 SIAM Conference on Computational Geometric Design and the 2021 Symposium on Solid and Physical Modeling. The SIAM Special Interest Activity Group on Geometric Design (GD) and the Symposium on Solid and Physical Modeling (SPM) have a shared heritage dating back to the early 1980s. This joint conference (started in 2009) represents a historic union of these communities, their rich academic and industrial histories, as well as the common intellectual themes that continue to move them forward. The 2021 SIAM Conference on Geometric and Physical Modeling seeks high quality, original research contributions that strive to advance all aspects of geometric and physical modeling, and their application in design, analysis, and manufacturing, as well as in biomedical, geophysical, digital entertainment, and other areas (see the list of conference themes). Both GD and SPM will include a track for submission of technical papers. All papers will be rigorously peer-reviewed by members of the respective international program committees and will be published as a journal special issue: in Computer Aided Geometric Design (Elsevier) in the case of GD, and in Computer-Aided Design (Elsevier) in the case of SPM. The joint conference will feature a poster session. To facilitate participation, limited travel awards for students and early career academics are available. Included Themes 3D fabrication/printing/manufacturing technologies Analysis, simulation, automation and optimization Anisotropic/heterogeneous/composite materials Applied algebraic/differential/computational/discrete geometry and topology Blend, sweep, offset, Minkowski, and other operations Computer aided (geometric) design Constraint modeling & satisfaction Curve, surface, and manifold modeling Data fitting, reconstruction and approximation (Deep) Learning for geometric design Feature and assembly modeling, recognition, and understanding Geometric modeling and processing Geometry compression Industrial applications of geometric design Isogeometric and finite element analysis Mesh generation, processing, and optimization Multi-resolution techniques Numerical analysis of geometric algorithms Parametric and feature-based models and representations Robotics and automation
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Virtual and Physical Prototyping8.8Taylor & Francis1745-2759
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