Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Jane M. Kim"'
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
In this study, we explore the similarities and differences between variational Monte Carlo techniques that employ conventional and artificial neural network representations of the ground-state wave function for fermionic systems. Our primary focus is
Externí odkaz:
https://doaj.org/article/f31f0584f0c0409f82f3f273d3c064f3
Autor:
Bryce Fore, Jane M. Kim, Giuseppe Carleo, Morten Hjorth-Jensen, Alessandro Lovato, Maria Piarulli
Publikováno v:
Physical Review Research, Vol 5, Iss 3, p 033062 (2023)
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:
https://doaj.org/article/82a2c3f17f9c4b13bc634c2417c58f6f