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U.S. Department of Energy
Office of Scientific and Technical Information

In-Situ Machine Learning (ISML)

Software ·
DOI:https://doi.org/10.11578/dc.20220224.2· OSTI ID:code-70383 · Code ID:70383
 [1];  [1];  [1];  [1];  [1];  [1]
  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)

SAND2022-1478 O In-Situ Machine Learning (ISML) is a library of functions that can be combined to create algorithms for in-situ event detection. 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:
ISML
Site Accession Number:
SCR #2746
Software Type:
Scientific
License(s):
Apache License 2.0
Programming Language(s):
Python 3
Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE

Primary Award/Contract Number:
NA0003525
DOE Contract Number:
NA0003525
Code ID:
70383
OSTI ID:
code-70383
Country of Origin:
United States

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