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Unstructured moving least squares material point methods: a stable kernel approach with continuous gradient reconstruction on general unstructured tessellations

Crossref DOI link: https://doi.org/10.1007/s00466-024-02524-x

Published Online: 2024-07-23

Published Print: 2025-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Cao, Yadi

Zhao, Yidong

Li, Minchen

Yang, Yin

Choo, Jinhyun

Terzopoulos, Demetri

Jiang, Chenfanfu
Funding

Funding for this research was provided by:

Sony Corporation of America (Sony Faculty Innovation Award, 2023)
License Information

Text and Data Mining valid from 2024-07-23

Version of Record valid from 2024-07-23
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Article History

Received: 18 December 2023

Accepted: 1 July 2024

First Online: 23 July 2024

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