Publications
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Jump to search filtersThe 2020 Earthgrazer: Infrasonic Detection of a Rare Meteor Event
2023 Annual Report of Available Drawdowns for Each Oil Storage Cavern in the Strategic Petroleum Reserve
Reduced-order Neural Operator Surrogates for Dynamical System Models
Risk Frameworks for Climate
Modelling Sea-Ice Dynamics within the Nares Strait Using a Lagrangian Discrete Element Approach
Dynamic Modeling Requirements for Complex Threats to Climate Security
Adversarial Machine Learning: Categories, Concepts, and Current Landscape
Microstructural Characterization of Electron Beam Additively Manufactured (EBAM) and Wire Arc Additively Manufactured (WAAM) Ti-6Al-4V
Total Ionizing Dose Response of a Novel Precision Oscillator Implementation
A Study of Bias-Variance in Variational Inferencing Using Delta Method
Atomistic Simulations of Liquid/Metal Interfaces with Applications to Active Brazing
Ti-6Al-4V to over 1.2 TPa: Shock Hugoniot experiments, ab initio calculations, and a broad-range multiphase equation of state
Physical Review B
PACI: Performance Assessment for Climate Intervention
Enabling Molecular Dynamics Simulations of Helium Bubble Formation in Tritium-Containing Austenitic Stainless Steels:An Fe-Ni-Cr-H-He Interatomic Potential
Tensor Decompositions using Stochastic and Deterministic Optimization
Local markers identify topology in metals and gapless systems
Considerations for Secure Data Exchange to Achieve Cyber-Physical Situational Awareness in the Electric Grid
Poisson-response Tensor-on-Tensor Regression
Probabilistic computing and stochastic devices
An asymptotic approach for the statistical thermodynamics of certain model systems
Industrial PLC Network Modeling and Parameter Identification Using Sensitivity Analysis and Mean Field Variational Inference
Sensors
The Heterogeneous Nature of Mechanically Accelerated Grain Growth
The LAMMPS particle simulation package: Bringing together innovative physics models, machine-learning interatomic potentials, and extreme-scale computing resources
DOE NE Cybersecurity R&D - Wireless Security update for NEI Cybersecurity Implementation Workshop
Climate Resilience of Critical Infrastructures: Applications to Water and Connected Sectors
Data-driven circuits models
Accelerating Innovations to Save the Planet: Pathways to Net-zero Concrete
A physics-based machine learning approach to quantum device characterization
Classifying gapless photonic topoloigical heterostructures
NSE workplace of the future: Enabling a LPS ready workforce
Influence of Spontaneous Surface Oxide Decomposition on High Temperature Carbon Oxidation Rates
Remote Sensing Low Signal-to-Noise-Ratio Target Detection Enhancement
Sensors
Martensitic transformations and shear-band interactions in austenitic stainless steel: effects of hydrogen
CNT coalescence within graphitic fibers through ultraviolet pulsed laser annealing
Probing logical error models with gate set tomography
Quantum New Mexico: Building a quantum ecosystem in NM
GPU-Accelerated Lattice Boltzmann Method for Shock Physics Computations
Ultrafast Core-Level Spectroscopy of Two- and Multi-body Photodissociation Dynamics
Feedback-based quantum algorithms
A Probabilistic Future for Neuromorphic Computing
An evaluation of the viability of corrosion resistance coatings to prevent, mitigate, or repair potential stress corrosion cracking on spent nuclear fuel canisters
Conserving Quantities of Interest in Low-Rank Tensor Decompositions of Numerical Simulation Data
Mobile Energy Storage Systems: A Grid-Edge Technology to Enhance Reliability and Resilience
IEEE Power and Energy Magazine
Elastic Partial Functional PrincipalComponent Regression with UnmatchedBoundaries
Experiments and Data Requirements to Validate Grid Energy Storage Systems at Different Stages of Development
Using deep-learning to uncover physics of magnetic charged particle confinement in Magnetized Liner Inertial Fusion (MagLIF)
Optimization of Flow Distribution for Surface-Reactive Rarefied Gases in Chemical Vapor Deposition
Breaking down brittle fragmentation: gaining theoretical insight with simulation
Hardware-in-the-loop testing of a hydraulic wave energy power take-off system
Toward automated design of optimized high energy density material science experiments on the Z Machine
ARC-SAFE: Accelerated Response Semiconducting Contactors and Surge Attenuation for DC Electrical Systems
Modelling Gap Closure within Pulse Power Machines
Fabrication of thin diamond membranes by Ne implantation
Understanding Silicon Nitride Crystallization from Amorphous Deposited Layers with Molecular Dynamics
Discovering the mechanisms of helium channel evolution via in-situ annealing and observation in TEM
Laser Preheat Characterization for MagLIF Experiments
Low Thermal Budget PMOS for Qualifying the Semiconductor Environment of STM-placed Donor Qubits
Microstructure Prediction in Powder Bed Metal Additive Manufacturing using Coupled Nucleation and Monte Carlo Method
Validating models of quantum computer performance
Optimal ground state approximations for sparse Hamiltonians
Uncertain Material Parameter Extraction using FEKO Optimizations for Space Applications
Incremental update techniques for online analysis of streaming tensor data
Predicting Voltage Changes in Low-Voltage Secondary Networks using Deep Neural Networks
Quantification of Uncertainties in Metal Additive Manufacturing Processes in Support of Qualification
Identifying Anomalous Activity in Surveillance Video with Compression-Based Analytics
Visualizing Uncertainty: Design Choices Impact Decision Making
Dry electrolyte polishing of as-printed additively manufactured stainless steel
PUF Entropy
Climate Resilience of Chemical Infrastructures: Exposure Assessment and Options for Preparedness
X-ray and laser based phosphor thermometry measurements and their application toward energetic materials
A deep learning approach for the inverse shape design of 2D acoustic scatterers
MiSSCyM: A Manufacturing Simulation Framework for Cyber Experimentation
Using Machine Learning to Generate CAD-to-Simulation-Ready Models
Photocatalytic degradation of volatile organic compounds using Au plasmonic nano-islands on TiO2
Hyper-differential sensitivity analysis with respect to model discrepancy
Network Event Forecasting
Machine Learning Classification and Reduction of CAD Parts for Rapid Design-to-Simulation
Autonomous Solutions for Advancing Electric Grid Cybersecurity
Accident Source Terms
Effect of Linker Structure and Functionalization on Secondary Gas formation in Metal-Organic Frameworks
A Lagrangian model with stochastic wind for atmospheric aerosol transport
Digital Twins: Modelling Biomanufacturing Networks to Enhance Digital Biosecurity
Structure-property Relationships of ZIF-based Porous Liquids for CO2 Adsorption
Salvation Structure and CO2 Capture Mechanisms in a Simulated ZIF-8 Porous Liquid
Hydrogen Implantation in Lanthanum Thin Films for Ambient Pressure Hydride Formation
An Exploration of Solution Curves in Feedback-Based Quantum Algorithms
Detecting changepoints in globally-indexed functional time series
Considerations for Secure Data Exchange to Achieve Cyber-Physical Situational Awareness in the Electric Grid
Energetic and structural transformation during the alignment stage of oriented attachment of gibbsite nanoparticles
Quantifying IMU Forward Models
Welcome to SOS-25
Constructing an ab initio DNA and solvent interaction model with equivariant neural networks
Understanding Deformation Behavior in an Al Alloy via Multimodal 3D Characterization
Uncertain Material Parameter Extraction using FEKO Optimizations for Space Applications
Modular and Scalable Solutions of Machine Learned Models (for Material Science and Beyond)
Understanding Wall Stresses in Powder Die Compaction by Novel Experiments and Coordinated Modeling
Remote Monitoring of Physiological Signatures: The Impact of Hyperspectral Imaging
Feedback-based Quantum Algorithms for Ground State Preparation of the Fermi-Hubbard Model
X-ray and laser based phosphor thermometry measurements and their application toward energetic materials
Results 2001–2100 of 96,771