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pnnl/neuromancer

RESOURCE

Publicly Accessible Repository
https://github.com/pnnl/neuromancer
https://doi.org/10.11578/dc.20240614.181

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Abstract

Dynamics-based deep learning methods to modernize current scientific computing methods. Neuromancer is currently capable of solving inverse problems for a system of ordinary differential equations. The functionality includes system identification and constrained optimal control of unknown or partially known ODEs.
Developers:
Skomski, Elliott [1] ;  Rutherford, Cameron [2] ;  Tuor, Aaron [1] ;  Drgona, Jan [1] ;  Skomski, Elliott [1] ;  Vasisht, Soumya [1] ;  Vrabie, Draguna [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. PNNL
Release Date:
2021-09-22
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Licenses:
BSD 2-clause "Simplified" License
Sponsoring Org.:
Code ID:
64176
Site Accession Number:
Battelle IPID 32076-E
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/pnnl/neuromancer
https://doi.org/10.11578/dc.20240614.181

SAVE / SHARE



PNNL Badge

Citation Formats

Skomski, Elliott, Rutherford, Cameron, Tuor, Aaron, Drgona, Jan, Skomski, Elliott, Vasisht, Soumya, and Vrabie, Draguna. pnnl/neuromancer. Computer Software. https://github.com/pnnl/neuromancer. USDOE. 22 Sep. 2021. Web. doi:10.11578/dc.20240614.181.
Skomski, Elliott, Rutherford, Cameron, Tuor, Aaron, Drgona, Jan, Skomski, Elliott, Vasisht, Soumya, & Vrabie, Draguna. (2021, September 22). pnnl/neuromancer. [Computer software]. https://github.com/pnnl/neuromancer. https://doi.org/10.11578/dc.20240614.181.
Skomski, Elliott, Rutherford, Cameron, Tuor, Aaron, Drgona, Jan, Skomski, Elliott, Vasisht, Soumya, and Vrabie, Draguna. "pnnl/neuromancer." Computer software. September 22, 2021. https://github.com/pnnl/neuromancer. https://doi.org/10.11578/dc.20240614.181.
@misc{ doecode_64176,
title = {pnnl/neuromancer},
author = {Skomski, Elliott and Rutherford, Cameron and Tuor, Aaron and Drgona, Jan and Skomski, Elliott and Vasisht, Soumya and Vrabie, Draguna},
abstractNote = {Dynamics-based deep learning methods to modernize current scientific computing methods. Neuromancer is currently capable of solving inverse problems for a system of ordinary differential equations. The functionality includes system identification and constrained optimal control of unknown or partially known ODEs.},
doi = {10.11578/dc.20240614.181},
url = {https://doi.org/10.11578/dc.20240614.181},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20240614.181}},
year = {2021},
month = {sep}
}