Abstract
This software implements a one-dimensional model of a supercapacitor and calibrates it to experimental data. A system of coupled partial differential equation models the salt concentration and the ionic and electronic potentials. The term in the equation modeling the capacitance contains a neural network, whose parameters are optimized to fit the provided experimental data. The software is written in python using the open-source library JAX to calculate the gradients needed for the optimization.
- Developers:
-
Salazar de Troya, Miquel [1] ; Roy, Thomas [1]
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Release Date:
- 2022-03-23
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Version:
- 0.01
- Licenses:
-
BSD 3-clause "New" or "Revised" License
- Sponsoring Org.:
-
USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 73414
- Site Accession Number:
- LLNL-CODE-833851
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
Salazar de Troya, Miquel, and Roy, Thomas.
Neural Networks for Supercapacitor Modeling.
Computer Software.
https://github.com/LLNL/neuralcap.
USDOE National Nuclear Security Administration (NNSA).
23 Mar. 2022.
Web.
doi:10.11578/dc.20220419.1.
Salazar de Troya, Miquel, & Roy, Thomas.
(2022, March 23).
Neural Networks for Supercapacitor Modeling.
[Computer software].
https://github.com/LLNL/neuralcap.
https://doi.org/10.11578/dc.20220419.1.
Salazar de Troya, Miquel, and Roy, Thomas.
"Neural Networks for Supercapacitor Modeling." Computer software.
March 23, 2022.
https://github.com/LLNL/neuralcap.
https://doi.org/10.11578/dc.20220419.1.
@misc{
doecode_73414,
title = {Neural Networks for Supercapacitor Modeling},
author = {Salazar de Troya, Miquel and Roy, Thomas},
abstractNote = {This software implements a one-dimensional model of a supercapacitor and calibrates it to experimental data. A system of coupled partial differential equation models the salt concentration and the ionic and electronic potentials. The term in the equation modeling the capacitance contains a neural network, whose parameters are optimized to fit the provided experimental data. The software is written in python using the open-source library JAX to calculate the gradients needed for the optimization.},
doi = {10.11578/dc.20220419.1},
url = {https://doi.org/10.11578/dc.20220419.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220419.1}},
year = {2022},
month = {mar}
}