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pro vyhledávání: '"Kim, Jane M."'
Low-density neutron matter is characterized by fascinating emergent quantum phenomena, such as the formation of Cooper pairs and the onset of superfluidity. We model this density regime by capitalizing on the expressivity of the hidden-nucleon neural
Externí odkaz:
http://arxiv.org/abs/2212.04436
We discuss differences and similarities between variational Monte Carlo approaches that use conventional and artificial neural network parameterizations of the ground-state wave function for systems of fermions. We focus on a relatively shallow neura
Externí odkaz:
http://arxiv.org/abs/2210.00365
Akademický článek
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Autor:
Fore, Bryce, Kim, Jane M., Carleo, Giuseppe, Hjorth-Jensen, Morten, Lovato, Alessandro, Piarulli, Maria
Publikováno v:
Fore, Bryce Kim, Jane M. Carleo, Giuseppe Hjorth-Jensen, Morten Lovato, Alessandro Piarulli, Maria . Dilute neutron star matter from neural-network quantum states. Physical Review Research (PRResearch). 2023, 5(3)
Physical Review Research (PRResearch)
Physical Review Research (PRResearch)
Externí odkaz:
http://hdl.handle.net/10852/109887
Publikováno v:
Nordhagen, Even Marius Kim, Jane M. Fore, Bryce Lovato, Alessandro Hjorth-Jensen, Morten . Efficient solutions of fermionic systems using artificial neural networks. Frontiers in Physics. 2023, 11
Frontiers in Physics
Frontiers in Physics
Externí odkaz:
http://hdl.handle.net/10852/109913
Autor:
Kim, Jane M.
Publikováno v:
Wall Street Journal - Eastern Edition. 4/5/2010, Vol. 255 Issue 78, pR11. 0p.
