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Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/PDONet
https://doi.org/10.11578/dc.20240909.1

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Abstract

SAND2021-15058 O This code accompanies the International Conference on Learning Representations (ICLR) paper entitled "Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data." Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.
Developers:
Tencer, John [1][2][3] ;  Potter, Kevin [1][2][3] ;  Sleder, Steven [1][2][3] ;  Smith, Matthew [1][2][3]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
Release Date:
2021-10-11
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Version:
0.1
Licenses:
BSD 3-clause "New" or "Revised" License
Sponsoring Org.:
Code ID:
94283
Site Accession Number:
SCR #2711
Research Org.:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/sandialabs/PDONet
https://doi.org/10.11578/dc.20240909.1

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Citation Formats

Tencer, John, Potter, Kevin, Sleder, Steven, and Smith, Matthew. Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data. Computer Software. https://github.com/sandialabs/PDONet. USDOE. 11 Oct. 2021. Web. doi:10.11578/dc.20240909.1.
Tencer, John, Potter, Kevin, Sleder, Steven, & Smith, Matthew. (2021, October 11). Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data. [Computer software]. https://github.com/sandialabs/PDONet. https://doi.org/10.11578/dc.20240909.1.
Tencer, John, Potter, Kevin, Sleder, Steven, and Smith, Matthew. "Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data." Computer software. October 11, 2021. https://github.com/sandialabs/PDONet. https://doi.org/10.11578/dc.20240909.1.
@misc{ doecode_94283,
title = {Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data},
author = {Tencer, John and Potter, Kevin and Sleder, Steven and Smith, Matthew},
abstractNote = {SAND2021-15058 O This code accompanies the International Conference on Learning Representations (ICLR) paper entitled "Parameterized Pseudo-Differential Operators for Applying CNNs to Unstructured Mesh Data." Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.},
doi = {10.11578/dc.20240909.1},
url = {https://doi.org/10.11578/dc.20240909.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240909.1}},
year = {2021},
month = {oct}
}