Fermionic Neural Networks: A New Way to Discover Quantum Phase Transitions
The prediction of electronic ground states of condensed matter is possible without any prior knowledge by using a specific neural network that uses a representation of wave function guided only by the quantum mechanical variations principle without reference to experiment data.
Source:
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.130.036401
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