14 papers
An Agentic Orchestration of Atomistic Simulations
Rahul Somasundaram, Adela Habib, Khanh Dang +12
Atomistic simulations are central to materials design, but their execution involves complex, multi-step workflows that require significant human expertise. Here, we present an agen…
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…
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…
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…
Constraining Hamiltonians from chiral effective field theory with neutron-star data
Cassandra L. Armstrong, Brendan T. Reed, Tate Plohr +4
Multi-messenger observations of neutron stars (NSs) and their mergers have placed strong constraints on the dense-matter equation of state (EOS). The EOS, in turn, depends on micro…
Inferring three-nucleon couplings from multi-messenger neutron-star observations
Rahul Somasundaram, Isak Svensson, Soumi De +5
Understanding the interactions between nucleons in dense matter is an important challenge in theoretical physics. Effective field theories have emerged as the dominant approach to…