Difference between revisions of "Sciann"
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Latest revision as of 20:09, 3 August 2023
Description
SciANN is a high-level artificial neural networks API, written in Python using Keras and TensorFlow backends. It is developed with a focus on enabling fast experimentation with different networks architectures and with emphasis on scientific computations, physics informed deep learing, and inversion.
Environment Modules
Run module spider sciann to find out what environment modules are available for this application.
System Variables
- HPC_SCIANN_DIR - installation directory
Citation
If you publish research that uses sciann you have to cite it as follows:
@article{haghighat2021sciann,
title={SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks},
author={Haghighat, Ehsan and Juanes, Ruben},
journal={Computer Methods in Applied Mechanics and Engineering},
volume={373},
pages={113552},
year={2021},
publisher={Elsevier}
}