会议信息
GD/SPM 2021: SIAM Conference on Geometric and Physical Modeling
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截稿日期:
2021-03-05
通知日期:
会议日期:
2021-09-27
会议地点:
Davis, California, USA
届数:
19
浏览: 23388   关注: 0   参加: 0

征稿
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
最后更新 Dou Sun 在 2021-02-11
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相关期刊
CCF全称影响因子出版商ISSN
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