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pro vyhledávání: '"Kim, Jane P."'
An accurate description of low-density nuclear matter is crucial for explaining the physics of neutron star crusts. In the density range between approximately 0.01 fm$^{-3}$ and 0.1 fm$^{-3}$, matter transitions from neutron-rich nuclei to various hi
Externí odkaz:
http://arxiv.org/abs/2407.21207
Autor:
Kim, Jane, Pescia, Gabriel, Fore, Bryce, Nys, Jannes, Carleo, Giuseppe, Gandolfi, Stefano, Hjorth-Jensen, Morten, Lovato, Alessandro
Ultra-cold Fermi gases display diverse quantum mechanical properties, including the transition from a fermionic superfluid BCS state to a bosonic superfluid BEC state, which can be probed experimentally with high precision. However, the theoretical d
Externí odkaz:
http://arxiv.org/abs/2305.08831
We introduce a message-passing-neural-network-based wave function Ansatz to simulate extended, strongly interacting fermions in continuous space. Symmetry constraints, such as continuous translation symmetries, can be readily embedded in the model. W
Externí odkaz:
http://arxiv.org/abs/2305.07240
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
Bandit algorithms are widely used in sequential decision problems to maximize the cumulative reward. One potential application is mobile health, where the goal is to promote the user's health through personalized interventions based on user specific
Externí odkaz:
http://arxiv.org/abs/2208.09819
Autor:
Sahlem, Gregory L., Kim, Bohye, Baker, Nathaniel L., Wong, Brendan L., Caruso, Margaret A., Campbell, Lauren A., Kaloani, Irakli, Sherman, Brian J., Ford, Tiffany J., Musleh, Ahmad H., Kim, Jane P., Williams, Nolan R., Manett, Andrew J., Kratter, Ian H., Short, Edward B., Killeen, Terese K., George, Mark S., McRae-Clark, Aimee L.
Publikováno v:
In Drug and Alcohol Dependence 1 January 2024 254
Autor:
Jiang, Lingjing, Elrod, Chris, Kim, Jane J., Swafford, Austin D., Knight, Rob, Thompson, Wesley K.
Microbiome researchers often need to model the temporal dynamics of multiple complex, nonlinear outcome trajectories simultaneously. This motivates our development of multivariate Sparse Functional Principal Components Analysis (mSFPCA), extending ex
Externí odkaz:
http://arxiv.org/abs/2102.00067
Autor:
Osilla, Karen Chan, Gore, Kristie L., Pedersen, Eric R., Hummer, Justin F., DeYoreo, Maria, Manuel, Jennifer K., McKay, James R., Kim, Jane P., Nameth, Katherine
Publikováno v:
In Contemporary Clinical Trials October 2023 133
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