Projects funded by the NCN
Can an artificial neural network teach us quantum physics?
2019/33/N/ST2/03123
Keywords:
phase classification ultracold atoms many-body localization topological phases machine learning neural networks interpretability of machine learning
Descriptors:
- ST2_7: Atomic and molecular physics
- ST2_8: Ultracold atoms and molecules
- ST2_19: Foundations of physics, mathematical physics
Panel:
ST2 - Fundamental constituents of matter: particle, nuclear, plasma, atomic, molecular, gas and optical physics
Host institution :
Uniwersytet Warszawski, Wydział Fizyki
woj. mazowieckie
Principal investigator (from the host institution):
Number of co-investigators in the project: 2
Call: PRELUDIUM 17 - announced on 2019-03-15
Amount awarded: 69 600 PLN
Project start date (Y-m-d): 2020-02-18
Project end date (Y-m-d): 2021-02-17
Project duration:: 12 months (the same as in the proposal)
Project status: Project settled
Project description
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