sciann

Description

sciann website

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.

Environment Variables

• HPC_SCIANN_DIR - installation directory
• HPC_SCIANN_BIN - executable 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 andphysics-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}

Categories

machine_learning