Beth A. Lindquist

Los Alamos National Laboratory — United States

Physics and Astronomy · Physical Sciences

20h-index1.3kcitations54works3.02yr avg
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Research Topics

Advanced Chemical Physics Studies(10), Machine Learning in Materials Science(9), Pickering emulsions and particle stabilization(8), Material Dynamics and Properties(7), Spectroscopy and Quantum Chemical Studies(7)

Publications54 total

Sensitivity of an integrated experiment to uncertainty in the high explosive equations of state
Journal of Applied Physics·2025· 2 citedOpen Access
First-Principles Performance Prediction of High Explosives Enabled by Machine Learning
The Journal of Physical Chemistry C·2024· 8 cited
Uncertainty quantification for equation of state using heterogeneous data sources
AIP conference proceedings·2024· 3 citedOpen Access
Molecular composition for DAAF and HMX detonation products as predicted by density functional theory and thermochemical modeling
AIP conference proceedings·2024Open Access
Uncertainty quantification for a TNT equation of state including the kinetic burn model
AIP conference proceedings·2024· 3 cited
Comparison of thermodynamic derivatives from DFT simulations and thermochemical calculations of PETN products
AIP conference proceedings·2024· 2 citedOpen Access
Uncertainty quantification for high explosive reactant and product equations of state
Journal of Applied Physics·2023· 13 citedOpen Access
PBX 9012 Davis reactant and product EOS calibration with uncertainty quantification
AIP conference proceedings·2023· 8 cited
Uncertainty quantified reactant and product equation of state for Composition B
AIP conference proceedings·2023· 7 cited
Uncertainty quantification for a multi-phase magnesium equation of state
AIP conference proceedings·2023· 6 cited
Treating random sequential addition via the replica method
The Journal of Chemical Physics·2022Open Access
Uncertainty quantification for a multi-phase carbon equation of state model
Journal of Applied Physics·2022· 20 citedOpen Access
Inverse design of equilibrium cluster fluids applied to a physically informed model
The Journal of Chemical Physics·2021· 12 citedOpen Access
Erratum: “Assembly of particle strings via isotropic potentials” [J. Chem. Phys. 150, 124903 (2019)]
The Journal of Chemical Physics·2020Open Access
Connecting Inverse Design with Experimentally Relevant Models
arXiv (Cornell University)·2020Open Access
Structure and phase behavior of polymer-linked colloidal gels
The Journal of Chemical Physics·2019· 46 citedOpen Access
Assembly of particle strings via isotropic potentials
The Journal of Chemical Physics·2019· 25 citedOpen Access
Phase behavior of equilibrium linker gels
Bulletin of the American Physical Society·2019
Self Assembly of Colloidal Polymers Using Isotropic Potentials
Bulletin of the American Physical Society·2019
Unsupervised machine learning for detection of phase transitions in off-lattice systems. I. Foundations
The Journal of Chemical Physics·2018· 56 citedOpen Access
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Frequent Co-authors

Ryan B. Jadrich(30), Thomas M. Truskett(20), Thom H. Dunning(12), Delia J. Milliron(6), Tyler Y. Takeshita(6), Jeffery A. Leiding(6), William D. Piñeros(5), David E. Woon(5), Steven A. Corcelli(4), Amita Singh(3), Gary K. Ong(3), Debapriya Banerjee(3), Jonathan A. Bollinger(3), Christopher Ticknor(3), Kristina E. Furse(2), Ajay Singh(2), Heonjoo Ha(2), Christopher J. Ellison(2), Lu T. Xu(2), Camila A. Saez Cabezas(2)