74 citations · 124 across the 11 of their papers we have counts for
11 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…
Chain-based Adaptive Reconfiguration Over Lattices for Hallucination Reduction
Joan Vendrell Gallart, Solmaz Kia, Russell Bent +1
We introduce CAROL (Chain-based Adaptive Reconfiguration Over Lattices), a probabilistic framework for test-time hallucination reduction in large language models. Rather than relyi…
Hierarchical Prompt-Domain Control and Learning for Resource-Constrained Agentic Language Models
Joan Vendrell Gallart, Russell Bent, Michael Grosskopf
Large Language Models are increasingly deployed inside agentic systems, where they must follow structured protocols, adapt to evolving states, and operate under memory, latency, an…
Multipole responses in fissioning nuclei and their uncertainties
Tong Li, Nicolas Schunck, Mike Grosskopf
Electromagnetic multipole responses are key inputs to model the structure, decay and reaction of atomic nuclei. With the introduction of the finite amplitude method (FAM), large-sc…
Fast emulation of density functional theory simulations using approximate Gaussian processes
Steven Stetzler, Michael Grosskopf, Earl Lawrence
Fitting a theoretical model to experimental data in a Bayesian manner using Markov chain Monte Carlo typically requires one to evaluate the model thousands (or millions) of times.…
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design
M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh +3
A sustainable burn platform through inertial confinement fusion (ICF) has been an ongoing challenge for over 50 years. Mitigating engineering limitations and improving the current…
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning
Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf +3
Building a sustainable burn platform in inertial confinement fusion (ICF) requires an understanding of the complex coupling of physical processes and the effects that key experimen…
Calibration of Energy Density Functionals with Deformed Nuclei
N. Schunck, J. O'Neal, M. Grosskopf +2
Nuclear density functional theory is the prevalent theoretical framework for accurately describing nuclear properties at the scale of the entire chart of nuclides. Given an energy…
Calibrating a large computer experiment simulating radiative shock hydrodynamics
Robert B. Gramacy, Derek Bingham, James Paul Holloway +5
We consider adapting a canonical computer model calibration apparatus, involving coupled Gaussian process (GP) emulators, to a computer experiment simulating radiative shock hydrod…
Increase of the Density, Temperature and Velocity of Plasma Jets driven by a Ring of High Energy Laser Beams
Wen Fu, Edison P. Liang, Milad Fatenejad +5
Supersonic plasma outflows driven by multi-beam, high-energy lasers, such as Omega and NIF, have been and will be used as platforms for a variety of laboratory astrophysics experim…
Prediction and Computer Model Calibration Using Outputs From Multi-fidelity Simulators
Joslin Goh, Derek Bingham, James Paul Holloway +3
Computer codes are widely used to describe physical processes in lieu of physical observations. In some cases, more than one computer simulator, each with different degrees of fide…