ROMNet: Neural-Network-Based Surrogates for Reduced-Order Model Dynamics

Software · Wed Oct 26 00:00:00 EDT 2022

DOI:https://doi.org/10.11578/dc.20230808.6· OSTI ID:1994067 · Code ID:111313

Venturi, Simone ^[1]

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1. Sandia National Lab. (SNL-CA), Livermore, CA (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

SAND2023-05829O ROMNet is a toolbox built on the Tensorflow library for training reduced-order, neural operator surrogate models. The software is used for training reduced order neural operator surrogate models for dynamical systems applications. 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.

• Short Name / Acronym: ROMNet
• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: SCR #2843
• Software Type: Scientific
• Version: 1.0
• License(s): Apache License 2.0
• Programming Language(s): Python
• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE

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  Primary Award/Contract Number:

  NA0003525
• DOE Contract Number: NA0003525
• Code ID: 111313
• OSTI ID: 1994067
• Country of Origin: United States

Related Subjects

SciDAC