Tensor Basis Neural Network v. 1.0 (beta)

Software · Tue Mar 28 00:00:00 EDT 2017

DOI:https://doi.org/10.11578/dc.20201001.25· OSTI ID:1351603 · Code ID:45342

Ling, Julia ^[1]; Templeton, Jeremy ^[1]

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1. Sandia National Laboratories

This software package can be used to build, train, and test a neural network machine learning model. The neural network architecture is specifically designed to embed tensor invariance properties by enforcing that the model predictions sit on an invariant tensor basis. This neural network architecture can be used in developing constitutive models for applications such as turbulence modeling, materials science, and electromagnetism.

• Short Name / Acronym: TBNN
• Project Type: Open Source, Publicly Available Repository
• Site Accession Number: SCR #2196; 7438
• Software Type: Scientific
• License(s): BSD 3-clause "New" or "Revised" License
• Programming Language(s): Python 2.7
• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE

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  Primary Award/Contract Number:

  AC04-94AL85000
• DOE Contract Number: AC04-94AL85000
• Code ID: 45342
• OSTI ID: 1351603
• Country of Origin: United States