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Publication	Type	Year
Electrostatic Relativistic Fluid Models of Electron Emission in a Warm Diode IEEE Transactions on Plasma Science Nathaniel Donald Hamlin, Thomas M. Smith, Nicholas Roberds, Forrest Glines, Kristian Beckwith	Journal Article – 2022 Journal Article	2022
Structured Physics-Informed Neural Networks for Surrogate-based Feasibility of Optimal Power Flow FORCEE Symposium Zachary Alexander Kilwein, Michael Shannon Eydenberg, Logan Blakely, Joshua Kyle Skolfield, Fani Boukouvala	Abstract – 2022 Abstract	2022
Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics 15th Cyber Security Experimentation and Test Workshop (CSET) Jamie Thorpe, Laura Painton Swiler, Seth Terence Hanson, Gerardo Cruz, Thomas D. Tarman, Trevor Rollins, Bert Debusschere	Conference Presentation – 2022 Conference Presentation	2022
Large-Scale Atomistic Simulations Investigate Expansion of Molten Metal  Stan Gerald Moore, Mitchell Wood, Aidan P. Thompson	Marketing or Promotional – 2022 Marketing or Promotional	2022
MIDN Grace Hastings MAC Program Outbrief United States Naval Academy Gwendolyn Renae Voskuilen, Benjamin Feinberg	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems International Conference on Continuous Optimization (ICCOPT) and the Modeling and OptimizationTheory and Applications (MOPTA) Robert John Baraldi	Conference Presentation – 2022 Conference Presentation	2022
Domain Decomposition Solvers for Nonlocal Equations 27th International Conference on Domain Decomposition Methods Christian Alexander Glusa	Conference Presentation – 2022 Conference Presentation	2022
Tin as a nuclear spin qubit in silicon Silicon Quantum Electronics Workshop Wayne Witzel, Jesse James Lutz, DeAnna Marie Campbell, Troy Alexander Hutchins-Delgado, Tzu-Ming Lu, David Abraham Lidsky, Chris Smyth, Chris Allemang, Paul G. Kotula, and Dwight R. Luhman	Abstract – 2022 Abstract	2022
Uniform flow in axisymmetric devices through permeability optimization 7th International Conference on Continuous Optimization Denis Ridzal, Drew Philip Kouri, David Robinson, Maher Salloum	Conference Presentation – 2022 Conference Presentation	2022
Neuromorphic Object Recognition at the Speed of Light Franois Lonard, Elliot James Fuller, Craig Michael Vineyard, Corinne Michelle Teeter	Marketing or Promotional – 2022 Marketing or Promotional	2022
Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing James Bradley Aimone, Suma George Cardwell, Frances S. Chance, Srideep Musuvathy, Fredrick Rothganger, William Mark Severa, John Darby Smith, Corinne Michelle Teeter, Craig Michael Vineyard, Felix Wang	Marketing or Promotional – 2022 Marketing or Promotional	2022
Permutation-Adapted Atomic Cluster Expansion Models Gordon Research Conference on Comparing Theories, Algorithms and Computation Protocols in Materials Science and Engineering James Michael Goff, Mitchell Wood, Aidan P. Thompson, Charles Sievers	Conference Poster – 2022 Conference Poster	2022
Electronic stopping in warm dense matter using Ehrenfest dynamics and TDDFT Strongly Coupled Coulomb Systems Alina Kononov, Thomas Hentschel, Stephanie B. Hansen, Andrew David Baczewski	Conference Presentation – 2022 Conference Presentation	2022
Pathways for atomic-precision incorporation of donors and acceptors in silicon 2022 Silicon Quantum Electronics Workshop Quinn Campbell, Jeffrey Andrew Ivie, Justin Koepke, Ezra Bussmann, Shashank Misra, Andrew David Baczewski	Abstract – 2022 Abstract	2022
Distributed Localization with Grid-based Representations on Digital Elevation Models International Conference on Neuromorphic Systems Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
REDLY: Resilience Enhancements through Deep Learning Yields Resilient Energy Systems Speaker Series Michael Shannon Eydenberg, Zachary Alexander Kilwein, Logan Blakely, Joshua Kyle Skolfield	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
A stochastic operator model-form uncertainty representation of missing microstructural information AGU Fall Meeting Teresa Portone, Robert D. Moser	Abstract – 2022 Abstract	2022
A Two-Level Scheme for Training Partition of Unity Networks 27th International Domain Decomposition Conference Eric Christopher Cyr, Nathaniel Albert Trask, Amelia Henriksen, Carianne Martinez	Conference Presentation – 2022 Conference Presentation	2022
Shortest Path Navigation using Reinforcement Learning 2022 MLDL Workshop Tyson Bailey, Abel Osvaldo Gomez Rivera, Srideep Musuvathy	Conference Presentation – 2022 Conference Presentation	2022
Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear Fusion Gordon Research ConferenceComputational Materials Science and Engineering Ember Layne Sikorski, Mary Alice Cusentino, Megan Jeanne McCarthy, Julien Tranchida, Mitchell Wood, Aidan P. Thompson	Conference Poster – 2022 Conference Poster	2022
Islet: Interpolation semi-Lagrangian element-based transport Geoscientific Model Development Andrew Michael Bradley, Peter Andrew Bosler, Oksana Guba	Journal Article – 2022 Journal Article	2022
Selective Amorphization of SiGe in Si/SiGe Nanostructures via High Energy Si+ Implant Journal of Applied Physics Emily Turner, Quinn Campbell, Ibrahim Avci, William J. Weber, Ping Lu, George T. Wang, Kevin S., Jones https://www.osti.gov/search/identifier:1877177	Journal Article – 2022 Journal Article	2022
Reduction of Full-Field Data by Spectral Decomposition International Digital Image Correlation Society Conference Denielle Ricciardi, Daniel Thomas Seidl, Brian T. Lester, Amanda Jones, Matthew Wilson Kury, Elizabeth M. C. Jones	Abstract – 2022 Abstract	2022
Accurate Hellmann-Feynman forces with optimized atom-centered Gaussian basis sets Computational Materials Science and EngineeringGordon Research ConferenceComparing Theories, Algorithms and Computation Protocols in Materials Sci Shivesh Pathak, Joshua Rackers, Ignacio Ema Lpez, Rafael Lpez Fernndez, Alex J. Lee, William P. Bricker, Susi Lehtola	Conference Poster – 2022 Conference Poster	2022
Distributed Localization with Grid-based Representations on Digital Elevation Models International Conference on Neuromorphic Systems Felix Wang, Corinne Michelle Teeter, Sarah Katherine Luca, Srideep Musuvathy, James Bradley Aimone	Conference Paper – 2022 Conference Paper	2022
Document Title	Type	Year

Results 26–50 of 11,790

Publications

Electrostatic Relativistic Fluid Models of Electron Emission in a Warm Diode

Structured Physics-Informed Neural Networks for Surrogate-based Feasibility of Optimal Power Flow

Verification of Cyber Emulation Experiments Through Virtual Machine and Host Metrics

Large-Scale Atomistic Simulations Investigate Expansion of Molten Metal&#8239;

MIDN Grace Hastings MAC Program Outbrief

Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems

Domain Decomposition Solvers for Nonlocal Equations

Tin as a nuclear spin qubit in silicon

Uniform flow in axisymmetric devices through permeability optimization

Neuromorphic Object Recognition at the Speed of Light

Neural Mini-Apps: Lighter, Faster Diagnostic Tests for Neuromorphic Computing

Permutation-Adapted Atomic Cluster Expansion Models

Electronic stopping in warm dense matter using Ehrenfest dynamics and TDDFT

Pathways for atomic-precision incorporation of donors and acceptors in silicon

Distributed Localization with Grid-based Representations on Digital Elevation Models

REDLY: Resilience Enhancements through Deep Learning Yields

A stochastic operator model-form uncertainty representation of missing microstructural information

A Two-Level Scheme for Training Partition of Unity Networks

Shortest Path Navigation using Reinforcement Learning

Machine-Learned Interatomic Potential Development for W-ZrC for Nuclear Fusion

Islet: Interpolation semi-Lagrangian element-based transport

Selective Amorphization of SiGe in Si/SiGe Nanostructures via High Energy Si+ Implant

Reduction of Full-Field Data by Spectral Decomposition

Accurate Hellmann-Feynman forces with optimized atom-centered Gaussian basis sets

Distributed Localization with Grid-based Representations on Digital Elevation Models

Large-Scale Atomistic Simulations Investigate Expansion of Molten Metal 