16 citations · 101 across the 19 of their papers we have counts for
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Quantum Monte Carlo Calculations of Light Nuclei with Fully Propagated Theoretical Uncertainties
Ryan Curry, Kai Hebeler, Stefano Gandolfi +4
We report on the first quantum Monte Carlo calculations of helium isotopes with fully propagated theoretical uncertainties from the interaction to the many-body observables. To ach…
URSA: The Universal Research and Scientific Agent
Michael Grosskopf, Nathan Debardeleben, Russell Bent +10
Large language models (LLMs) have moved far beyond their initial form as simple chatbots, now carrying out complex reasoning, planning, writing, coding, and research tasks. These s…
The nucleardatapy toolkit for simple access to experimental nuclear data, astrophysical observations, and theoretical predictions
Jérôme Margueron, Christian Drischler, Mariana Dutra +10
Systematic comparisons across theoretical predictions for the properties of dense matter, nuclear physics data, and astrophysical observations (also called meta-analyses) are perfo…
Direct Inference of Nuclear Equation-of-State Parameters from Gravitational-Wave Observations
Brendan T. Reed, Cassandra L. Armstrong, Rahul Somasundaram +4
The observation of neutron star mergers with gravitational waves (GWs) has provided a new method to constrain the dense-matter equation of state (EOS) and to better understand its…
Leveraging differentiable programming in the inverse problem of neutron stars
Thibeau Wouters, Peter T. H. Pang, Hauke Koehn +5
Neutron stars (NSs) probe the high-density regime of the nuclear equation of state (EOS). However, inferring the EOS from observations of NSs is a computationally challenging task.…
Emulators for Scarce and Noisy Data: Application to Auxiliary-Field Diffusion Monte Carlo for Neutron Matter
Cassandra L. Armstrong, Pablo Giuliani, Kyle Godbey +2
Understanding the equation of state (EOS) of pure neutron matter is necessary for interpreting multimessenger observations of neutron stars. Reliable data analyses of these observa…