MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPS

Author:

Atzberger Paul J.ORCID

Publisher

The Open Journal

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference39 articles.

1. Reducing the dimensionality of data with neural networks;Hinton;Science,2006

2. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. The MIT Press. ISBN: 0262035618

3. Importance of the mathematical foundations of machine learning methods for scientific and engineering applications;Atzberger;SciML2018 Workshop, position paper,2018

4. Discovering governing equations from data by sparse identification of nonlinear dynamical systems;Brunton;Proceedings of the National Academy of Sciences,2016

5. Distilling free-form natural laws from experimental data;Schmidt,2009

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