Machine Learning applied to solving Nuclear Many-body Problems
Contents
What is this talk about?
More material
Why? Basic motivation
What are the basic ingredients?
Quantum Monte Carlo Motivation
Running the codes
Energy as function of iterations, \( N=2 \) electrons
Onebody densities \( N=6 \), \( \hbar\omega=1.0 \) a.u.
Onebody densities \( N=6 \), \( \hbar\omega=0.1 \) a.u.
Onebody densities \( N=30 \), \( \hbar\omega=1.0 \) a.u.
Onebody densities \( N=30 \), \( \hbar\omega=0.1 \) a.u.
Or using Deep Learning Neural Networks
Replacing the Jastrow factor with Neural Networks
Conclusions and where do we stand
Onebody densities \( N=30 \), \( \hbar\omega=0.1 \) a.u.
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