Neural Stress Fields for Reduced-order Elastoplasticity and Fracture-Reference-Cited by-同舟云学术

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Neural Stress Fields for Reduced-order Elastoplasticity and Fracture

Published:2023-12-10 Issue: Volume: Page:
ISSN:
Container-title:SIGGRAPH Asia 2023 Conference Papers
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Author:

Zong Zeshun¹^ORCID,Li Xuan¹^ORCID,Li Minchen²^ORCID,Chiaramonte Maurizio M.³^ORCID,Matusik Wojciech⁴^ORCID,Grinspun Eitan⁵^ORCID,Carlberg Kevin³^ORCID,Jiang Chenfanfu¹^ORCID,Chen Peter Yichen⁴^ORCID

Affiliation:

1. University of California Los Angeles, United States of America

2. University of California Los Angeles, United States of America and Carnegie Mellon University, United States of America

3. Meta Reality Labs Research, United States of America

4. MIT CSAIL, United States of America

5. University of Toronto, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610548.3618207

Reference64 articles.

1. Noam Aigerman, Kunal Gupta, Vladimir G Kim, Siddhartha Chaudhuri, Jun Saito, and Thibault Groueix. 2022. Neural Jacobian Fields: Learning Intrinsic Mappings of Arbitrary Meshes. arXiv preprint arXiv:2205.02904 (2022).

2. Steven S An, Theodore Kim, and Doug L James. 2008. Optimizing cubature for efficient integration of subspace deformations. ACM transactions on graphics (TOG) 27, 5 (2008), 1–10.

3. Jernej Barbič and Doug L James. 2005. Real-time subspace integration for St. Venant-Kirchhoff deformable models. ACM transactions on graphics (TOG) 24, 3 (2005), 982–990.

4. Jernej Barbič and Yili Zhao. 2011. Real-time large-deformation substructuring. ACM transactions on graphics (TOG) 30, 4 (2011), 1–8.

5. SIAM review 57, 4;Benner Peter,2015

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