Master Thesis: Predicting Energy Levels

Predicting energy levels of Hydrogen atom, and one dimensional harmonic oscillator using neural networks without solving Schrodinger equation.

We dive deep into some of the benefits of using neural networks, what are neural networks, some of their negatives, and their uses in physics and other fields.

Finaly we made three simulations, totaling to 6 neural network models that are completely trained using python, and we also implemented the basic training process ourselves which we used to solve some more surface level examples like the AND, OR and XOR operators.

You can download the source code of the python project from here, and the pdf file along side all the relevant information like the presentation as well.

Presentation google slides link:

https://docs.google.com/presentation/d/10_tLEltRcn5g7o0KAq5Sz670-t-5jQnL_B1KVBwOIro/edit?usp=sharing