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  5. [Re] hamiltonian neural networks
 
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[Re] hamiltonian neural networks

Source
ReScience
Date Issued
2020-05-01
Author(s)
Garg, Ayush
Kagi, Sammed Shantinath
DOI
10.5281/zenodo.3818621
Abstract
In today's world, neural networks are being in almost every discipline resulting in significant improvement in all the tools and applications. But in the field of Physics, they struggle to attain the basic laws like conservation of momentum. The paper Hamiltonian Neural Networks addresses this issue by using Hamiltonian mechanics to train the neural network in an unsupervised method. The following report is an explanation of the paper and the code to reproduce the claimed results.
URI
https://d8.irins.org/handle/IITG2025/30183
Subjects
Hamiltonian neural networks
Momentum
Hamiltonian mechanics
Ideal pendulum
Two-body system
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