Publications
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Jump to search filtersSWTB Module Standardization
Abstract not provided.
ECP Software Technologies: Software Development Kits (SDKs)
Abstract not provided.
In Situ Visualization for the Large Scale Computing Initiative Milestone
Abstract not provided.
Overview of Renewable Energy in New Mexico
Abstract not provided.
Sandia/MARAD Hydrogen Gas Dispersion Stakeholder Project Meeting
Abstract not provided.
Tutorial on MIMO Vibration
Abstract not provided.
Systems Analysis Overview
Abstract not provided.
ASC CSSE Milestone 6812: SST-GPGPU
Abstract not provided.
Coupled Gas-Surface Chemistry: New Tools for Discovery Science
Abstract not provided.
Towards the Verification of a Generalized Schmid- and Taylor-factor Homogenization Scheme and Mesoscale Mesh Generation from Noisy Image Data
Abstract not provided.
An Extension of Conditional Point Sampling to Quantify Uncertainty Due to Material Mixing Randomness
Abstract not provided.
Dynamic Programming with Spiking Neural Computing
Abstract not provided.
Quantum Approaches for Discrete Optimization
Abstract not provided.
Sandia/California Seismic Safety
Abstract not provided.
Fuel Effects on Mixed-Mode Combustion in a DISI Engine
Abstract not provided.
Initial PM/PN Assessment for a DISI Engine Across Wide Ranges of Thermal and Fouling States using a Gasoline and a Simple Surrogate
Abstract not provided.
Modeling of Multi-Physics and Multi-Component Dynamics with Neural Networks
Abstract not provided.
Deuterium Hugoniot: Pitfalls of thermodynamic sampling beyond density functional theory
Physical Review B
Outstanding problems in the high-pressure phase diagram of hydrogen have demonstrated the need for more accurate ab initio methods for thermodynamic sampling. One promising method that has been deployed extensively above 100 GPa is coupled electron-ion Monte Carlo (CEIMC), which treats the electronic structure with quantum Monte Carlo (QMC). However, CEIMC predictions of the deuterium principal Hugoniot disagree significantly with experiment, overshooting the experimentally determined peak compression density by 7% and lower temperature gas-gun data by well over 20%. By deriving an equation relating the predicted Hugoniot density to underlying equation of state errors, we show that QMC and many-body methods can easily spoil the error cancellation properties inherent in the Rankine-Hugoniot relation, and very likely suffer from error addition. By cross validating QMC based on systematically improvable trial functions against post-Hartree-Fock many-body methods, we find that these methods introduce errors of the right sign and magnitude to account for much of the observed discrepancy between CEIMC and experiment. We stress that this is not just a CEIMC problem, but that thermodynamic sampling based on other many-body methods is likely to experience similar difficulties.
As-Measured Surface Properties for Modal Predictability
Abstract not provided.
Optimization of Si-Photonics Compatible AlN waveguides for Integrated Nonlinear Optics Applications
Abstract not provided.
LARGE ACOUSTOELECTRIC EFFECT IN WAFER BONDED INDIUM GALLIUM ARSENIDE / LITHIUM NIOBATE HETEROSTRUCTURE
Abstract not provided.
Hexagonal BN: Recent Advances and Potential for UV Optoelectronics (invited)
Abstract not provided.
Mimetic meshfree methods or how to be compatible without a mesh
Abstract not provided.
The amazing powers of Generalized Moving Least-Squares
Abstract not provided.
Presentation for UC Davis Sandia Partnership event
Abstract not provided.
SNL Nuclear Survivability Platforms on the OMEGA Facility
Abstract not provided.
National Labs & EPRI Support Session
Abstract not provided.
Code Optimization via Machine Learning
Abstract not provided.
Battery materials for analogue memory and neuromorphic computing
Abstract not provided.
MATNIP ? MAThematical foundations for Nonlocal Interface Problems: multiscale simulations for heterogeneous materials
Abstract not provided.
Core Damage Progression Uncertainty Analysis: Fukushima Daiichi Unit 1
Abstract not provided.
LWRS Physical Security Initiative
Abstract not provided.
Molecular Simulation of Geochemical Reactions in Subcritical Fractures
Abstract not provided.
LWRS Program - Sandia Physical Security Efforts
Abstract not provided.
Noise minimization by bias-variance optimization in particle-based plasma simulation methods
Abstract not provided.
Summer Presentation
Abstract not provided.
Overview of the A2e Verification Validation and Uncertainty Quantification Program Area
Abstract not provided.
Embedded model error quantification and propagation in physical systems
Abstract not provided.
Graphene-Based PhotoFET for Optical and Radiation Detection
Abstract not provided.
Machine-learned reduced-order modeling
Abstract not provided.
Nonlocal models in computational science and engineering: challenges and applications
Abstract not provided.
Characterization of Induced Defects in InAsSb from Proton Irradiation using in-situ Lifetime measurements
Abstract not provided.
Whisper S/U Benchmark Analysis of Metal-Water Critical Mass Curves
Abstract not provided.
The Changing Threat and The Convergence of Chemistry and Biology
Abstract not provided.
HPC Monitoring & Analysis + Power 9 Specifics
Abstract not provided.
My Path to a Career in STEM
Abstract not provided.
Particle Challenges and Characterization Needs for CSP
Abstract not provided.
Mechanical Behavior of Gold-containing SAC396 Solder
Abstract not provided.
Low and Medium Melting Temperature Solders
Abstract not provided.
A unified analysis of nano-to-microscale particle dispersion in tubular blood flow
Physics of Fluids
Transport of solid particles in blood flow exhibits qualitative differences in the transport mechanism when the particle varies from nanoscale to microscale size comparable to the red blood cell (RBC). The effect of microscale particle margination has been investigated by several groups. Also, the transport of nanoscale particles (NPs) in blood has received considerable attention in the past. This study attempts to bridge the gap by quantitatively showing how the transport mechanism varies with particle size from nano-to-microscale. Using a three-dimensional (3D) multiscale method, the dispersion of particles in microscale tubular flows is investigated for various hematocrits, vessel diameters, and particle sizes. NPs exhibit a nonuniform, smoothly dispersed distribution across the tube radius due to severe Brownian motion. The near-wall concentration of NPs can be moderately enhanced by increasing hematocrit and confinement. Moreover, there exists a critical particle size (∼1 μm) that leads to excessive retention of particles in the cell-free region near the wall, i.e., margination. Above this threshold, the margination propensity increases with the particle size. The dominance of RBC-enhanced shear-induced diffusivity (RESID) over Brownian diffusivity (BD) results in 10 times higher radial diffusion rates in the RBC-laden region compared to that in the cell-free layer, correlated with the high margination propensity of microscale particles. This work captures the particle size-dependent transition from Brownian-motion dominant dispersion to margination using a unified 3D multiscale computational approach and highlights the linkage between the radial distribution of RESID and the margination of particles in confined blood flows.
Reporting Obligations under a CSA with Mod SQP
Abstract not provided.
Fundamentals of nuclear material accounting
Abstract not provided.
Role of SSAC in SQP State
Abstract not provided.
Nuclear Materials Subject to Safeguards all files combined
Abstract not provided.
SANDIA NATIONAL LABORATORIES? CONTRIBUTION TO THE OECD/NEA BSAF PHASE II PROJECT
Abstract not provided.
Use of Whisper S/U Techniques in Support of Benchmark Identification
Abstract not provided.
GCBS Program Overview
Abstract not provided.
Can water-rich melts in the Earth?s upper mantle be seismically detected? A shockless compression study on Thor
Abstract not provided.
High-Fidelity Calibration and Characterization of the Hyperspectral Computed Tomography System
Abstract not provided.
Combinatorial reaction searches on the PES using KinBot
Abstract not provided.
Obligations under CSA with mSQP and AP for R&A
Abstract not provided.
Facilities Presentation
Abstract not provided.
Parametric Analysis of Handbook Metal-Water Critical Mass Curves with MCNP
Abstract not provided.
EFFECTS OF SPATIAL ENERGY DISTRIBUTION ON DEFECTS AND FRACTURE OF LPBF 316L STAINLESS STEEL
Abstract not provided.
PJVS at Sandia's Primary Standards Laboratory
Abstract not provided.
Exploiting Metathesis Depolymerization of Polybutadiene for Responsive Materials
Abstract not provided.
Utilizing Electroplating for High Aspect Ratio Mesoscale Fabrication - Filling Forming and Coating
Abstract not provided.
Preliminary Assessment of Potential for Wind Energy Technology on the Turtle Mountain Band of Chippewa Reservation
Abstract not provided.
Outdoor Accelerated Testing of PV Modules
Abstract not provided.
Design and Analysis of Pu (III) Bench Scale Experiments
Abstract not provided.
EDSR of a single heavy hole in a lateral GaAs/AlGaAs double quantum dot device
Abstract not provided.
Quantitative multiscale microscopy of defects and deformation for application to materials modeling
Abstract not provided.
Direct simulation Monte Carlo on petaflop supercomputers and beyond
Physics of Fluids
The gold-standard definition of the Direct Simulation Monte Carlo (DSMC) method is given in the 1994 book by Bird [Molecular Gas Dynamics and the Direct Simulation of Gas Flows (Clarendon Press, Oxford, UK, 1994)], which refined his pioneering earlier papers in which he first formulated the method. In the intervening 25 years, DSMC has become the method of choice for modeling rarefied gas dynamics in a variety of scenarios. The chief barrier to applying DSMC to more dense or even continuum flows is its computational expense compared to continuum computational fluid dynamics methods. The dramatic (nearly billion-fold) increase in speed of the largest supercomputers over the last 30 years has thus been a key enabling factor in using DSMC to model a richer variety of flows, due to the method's inherent parallelism. We have developed the open-source SPARTA DSMC code with the goal of running DSMC efficiently on the largest machines, both current and future. It is largely an implementation of Bird's 1994 formulation. Here, we describe algorithms used in SPARTA to enable DSMC to operate in parallel at the scale of many billions of particles or grid cells, or with billions of surface elements. We give a few examples of the kinds of fundamental physics questions and engineering applications that DSMC can address at these scales.
Data Science and Computer Science Research at Sandia National Laboratories
Abstract not provided.
Solder Cup Wire Insertion Study
Abstract not provided.
A Modified Johnson-Cook Model for Dynamic Response of Metals with an Explicit Strain- and Strain-rate-dependent Thermosoftening Effect
Abstract not provided.
Acid Gas Adsorption and Structural Characterization of RE-DOBDC MOFs via Density Functional Theory
Abstract not provided.
NCSLI presentation by Marcey Hoover
Abstract not provided.
Low Frequency Stable and Accurate Potential-Based Time Domain Integral Equations for Dielectric Regions
Abstract not provided.
From Simple Epoxy Adhesives to a Foundation in Materials Aging
Abstract not provided.
Supercomputer in a workstation: simulation as a development platform for network architectures
Abstract not provided.
Diesel injector elasticity effects on internal nozzle flow
Abstract not provided.
Effective Pair-Potentials for Modelling High Energy-Density Matter
Abstract not provided.
Connecting Two Sides of the Same Nuclear Coin: Developing a Method to Assess the Impacts of Nuclear Weapon Technologies and Systems on Arms Control and Stability
Abstract not provided.
CARS Thermometry and Species Measurements in Combustion Pyrotechnic and Explosive Environments
Abstract not provided.
Phenomenological versus random data augmentation for hyperspectral target detection
Abstract not provided.
Testing and Assessing Quantum Computing Processors at the Quantum Performance Lab
Abstract not provided.
Quality Job Family Descriptions
Abstract not provided.
Educational Approaches to Nuclear Security
Abstract not provided.
Common Track API
Abstract not provided.
Scalable Preconditioners to Improve Time to Solution for Magnetohydrodynamics Applications
Abstract not provided.
Outdoor Accelerated Testing of PV Modules
Abstract not provided.
My Sandia Story
Abstract not provided.
Field Module Study and Non-Destructive Testing
Abstract not provided.
International Multi-Modal Surrogate Spent Nuclear Fuel Transportation Test: The SNF Transportation Test Triathlon
Abstract not provided.
What I have done (You can do better) for National Security at Sandia
Abstract not provided.
Human Reliability Analysis in the Electric Grid Domain
Abstract not provided.
Export Control Reformand Impacts to Nonproliferation
Abstract not provided.
Native Contributions - Creating and Supporting Effective Teams
Abstract not provided.
The Deeply Depleted Graphene-Insulator-Semiconductor Junction: A versatile Approach towards light sensing across the electromagnetic spectrum
Abstract not provided.
Spark Assisted Compression Ignition Engine with Stratified Charge Combustion and Ozone Addition
Abstract not provided.
WIPP Expansion Evaluation of BRAGFLO Modeling Alternatives in Support of DOE Milestones EXPW-19-03 and EXPW-19-04
Abstract not provided.
Gen 3 Particle Pilot Plant (G3P3): Integrated High-Temperature Particle System for Concentrating Solar Power and CSP Overview
Abstract not provided.
High Performance Rechargeable Battery Technologies
Abstract not provided.
LABIOS: A Distributed Label-Based I/O System
Abstract not provided.
Metadata Driven Data Management
Abstract not provided.
Computing at Sandia
Abstract not provided.
Big Science Through Computing At Sandia National Laboratories
Abstract not provided.
Nasdaq Modeling and Complex Systems Prediction: Games as Frames on Reality
Abstract not provided.
Detection of Precursors to Damage in Aerostructures
Abstract not provided.
RO membranes for Clean Water - Sandia Pitch Competition 2019
Abstract not provided.
Bifacial Performance Optimization Studies using Bifacial Radiance and High Performance Computing
Abstract not provided.
Virtual Docent Project Overview
Abstract not provided.
FEMA Deposition Model Work for the Assessment Working Group
Abstract not provided.
Enabling Resilience in Asynchronous Many-Task Programming Models
Abstract not provided.
HADES: High-Fidelity Adaptive Deception & Emulation System
Abstract not provided.
Sandia Campus Planning
Abstract not provided.
Bayesian Calibration of the Thermal Battery
Abstract not provided.
SPARK Project: Highly Instrumented Modules for Environmental Characterization and Simulation Model Validation
Abstract not provided.
On the Road to Zero Emissions: Potential of the IC EngineBased Powertrain
Abstract not provided.
Quantum mechanical studies of the depolymerization of Lignin by the ZnCl2:Ethylene glycol Deep Eutectic Solvent
Abstract not provided.
Predicting physical properties of bio-renewable molecules in search for a drop-in Jet-A fuel
Abstract not provided.
Predicting physical properties of bio-renewable molecules in search for a drop-in Jet-A fuel
Abstract not provided.
New Insights into the Role of Stabilized Criegee Intermediates in Tropospheric Chemistry from Laboratory Studies
Abstract not provided.
Fundamental reactions in accidental and intentional oxidation of hydrocarbons
Abstract not provided.
Compressive sensing for channeled polarimetry: Applications in spectropolarimetry and imaging polarimetry
Abstract not provided.
Quad Chart - Gamma Ray Spectroscopy
Abstract not provided.
Heterogeneities dominate mechanical performance of additively manufactured metal lattice struts
Additive Manufacturing
Architected structural metamaterials, also known as lattice, truss, or acoustic materials, provide opportunities to produce tailored effective properties that are not achievable in bulk monolithic materials. These topologies are typically designed under the assumption of uniform, isotropic base material properties taken from reference databases and without consideration for sub-optimal as-printed properties or off-nominal dimensional heterogeneities. However, manufacturing imperfections such as surface roughness are present throughout the lattices and their constituent struts create significant variability in mechanical properties and part performance. This study utilized a customized tensile bar with a gauge section consisting of five parallel struts loaded in a stretch (tensile) orientation to examine the impact of manufacturing heterogeneities on quasi-static deformation of the struts, with a focus on ultimate tensile strength and ductility. The customized tensile specimen was designed to prevent damage during handling, despite the sub-millimeter thickness of each strut, and to enable efficient, high-throughput mechanical testing. The strut tensile specimens and reference monolithic tensile bars were manufactured using a direct metal laser sintering (also known as laser powder bed fusion or selective laser melting) process in a precipitation hardened stainless steel alloy, 17-4PH, with minimum feature sizes ranging from 0.5-0.82 mm, comparable to minimum allowable dimensions for the process. Over 70 tensile stress-strain tests were performed revealing that the effective mechanical properties of the struts were highly stochastic, considerably inferior to the properties of larger as-printed reference tensile bars, and well below the minimum allowable values for the alloy. Pre- and post-test non-destructive analyses revealed that the primary source of the reduced properties and increased variability was attributable to heterogeneous surface topography with stress-concentrating contours and commensurate reduction in effective load-bearing area.
Asynchronous Ballistic Reversible Fluxon Logic
IEEE Transactions on Applied Superconductivity
In a previous paper, we described a new abstract circuit model for reversible computation called asynchronous ballistic reversible computing (ABRC), in which localized information-bearing pulses propagate ballistically along signal paths between stateful abstract devices and elastically scatter off those devices serially, while updating the device state in a logically-reversible and deterministic fashion. The ABRC model has been shown to be capable of universal computation. In the research reported here, we begin exploring how the ABRC model might be realized in practice using single flux quantum solitons (fluxons) in superconducting Josephson junction (JJ) circuits. One natural family of realizations could utilize fluxon polarity to represent binary data in individual pulses propagating near-ballistically, along discrete or continuous long Josephson junctions or microstrip passive transmission lines, and utilize the flux charge (-1, 0, +1) of a JJ-containing superconducting loop with Φ0 < IcL < 2Φ0 to encode a ternary state variable internal to a device. A natural question then arises as to which of the definable abstract ABRC device functionalities using this data representation might be implementable using a JJ circuit that dissipates only a small fraction of the input fluxon energy. We discuss conservation rules and symmetries considered as constraints to be obeyed in these circuits, and begin the process of classifying the possible ABRC devices in this family having up to three bidirectional I/O terminals, and up to three internal states.
Revenue Opportunities for Electric Storage Resources in the Southwest Power Pool Integrated Marketplace
IEEE Power and Energy Society General Meeting
This paper explores the revenue potential for electric storage resources (ESRs), also referred to as electrical energy storage, in the Southwest Power Pool Integrated Marketplace. In particular, opportunities in the day-ahead market with the energy and frequency regulation products are considered. The revenue maximization problem is formulated as a linear program model, where an ESR seeks to maximize its revenue through the available revenue streams. The ESR has perfect foresight of historical prices and determines the optimal policy accordingly. A case study using FY2018 data shows that frequency regulation services are the most lucrative for revenue potential. This paper also explores different methods of using area control error data to infer the regulation control signal and the consequent effect on the optimization. Finally, the paper conducts a sensitivity analysis of ESR payback period to energy capacity and power rating.
Thermal atom-ion collisions in a K- Yb+ hybrid system
Physical Review A
We present experimental studies of atom-ion collisions using buffer-gas cooled, trapped ytterbium (Yb+) ions immersed in potassium (K) vapor. The range of the collisional temperature is on the order of several hundred kelvin (thermal regime). We have determined various collisional rate coefficients of the Yb+ ion per K-atom number density. We find the upper bounds of charge-exchange rate coefficients κce to be (12.7±1.6)×10-14cm3s-1 for K-Yb+171 and (5.3±0.7)×10-14cm3s-1 for K-Yb+172. For both isotopes, the spin-destruction rate coefficient κsd has an upper bound at (1.46±0.77)×10-9cm3s-1. The spin-exchange rate coefficient κse is measured to be (1.64±0.51)×10-9cm3s-1. The relatively low charge-exchange rate reported here demonstrates the advantage of using K atoms to sympathetically cool Yb+ ions and the relatively high spin-exchange rate may benefit research work in quantum metrology and quantum information processing on an atom-ion platform using K atoms and Yb+ ions.
Relating microstructure to defect behavior in AA6061 using a combined computational and multiscale electron microscopy approach
Acta Materialia
In this study, a multiscale electron microscopy-based approach is applied to understanding how different aspects of the microstructure in a notched AA6061-T6, including grain boundaries, triple junctions, and intermetallic particles, promote localized dislocation accumulation as a function of applied tensile strain and depth from the sample surface. Experimental measurements and crystal plasticity simulations of dislocation distributions as a function of distance from specified microstructural features both showed preferential dislocation accumulation near intermetallic particles relative to grain boundaries and triple junctions. High resolution electron backscatter diffraction and site-specific transmission electron microscopy characterization showed that high levels of dislocation accumulation near intermetallic particles led to the development of an ultrafine sub-grain microstructure, indicative of a much higher level of local plasticity than predicted from the coarser measurements and simulations. In addition, high resolution measurements in front of a crack tip suggested a compounding influence of intermetallic particles and grain boundaries in dictating crack propagation pathways.
TATB Sensitivity to Shocks from Electrical Arcs
Propellants, Explosives, Pyrotechnics
Use of insensitive high explosives (IHEs) has significantly improved ammunition safety because of their remarkable insensitivity to violent cook-off, shock and impact. Triamino-trinitrobenzene (TATB) is the IHE used in many modern munitions. Previously, lightning simulations in different test configurations have shown that the required detonation threshold for standard density TATB at ambient and elevated temperatures (250 C) has a sufficient margin over the shock caused by an arc from the most severe lightning. In this paper, the Braginskii model with Lee-More channel conductivity prescription is used to demonstrate how electrical arcs from lightning could cause detonation in TATB. The steep rise and slow decay in typical lightning pulse are used in demonstrating that the shock pressure from an electrical arc, after reaching the peak, falls off faster than the inverse of the arc radius. For detonation to occur, two necessary detonation conditions must be met: the Pop-Plot criterion and minimum spot size requirement. The relevant Pop-Plot for TATB at 250 C was converted into an empirical detonation criterion, which is applicable to explosives subject to shocks of variable pressure. The arc cross-section was required to meet the minimum detonation spot size reported in the literature. One caveat is that when the shock pressure exceeds the detonation pressure the Pop-Plot may not be applicable, and the minimum spot size requirement may be smaller.
Investigation of assumptions and approximations in the virtual fields method for a viscoplastic material model
Strain
The Virtual Fields Method (VFM) is an inverse technique used for parameter estimation and calibration of constitutive models. Many assumptions and approximations—such as plane stress, incompressible plasticity, and spatial and temporal derivative calculations—are required to use VFM with full-field deformation data, for example, from Digital Image Correlation (DIC). This work presents a comprehensive discussion of the effects of these assumptions and approximations on parameters identified by VFM for a viscoplastic material model for 304L stainless steel. We generated synthetic data from a Finite-Element Analysis (FEA) in order to have a reference solution with a known material model and known model parameters, and we investigated four cases in which successively more assumptions and approximations were included in the data. We found that VFM is tolerant to small deviations from the plane stress condition in a small region of the sample, and that the incompressible plasticity assumption can be used to estimate thickness changes with little error. A local polynomial fit to the displacement data was successfully employed to compute the spatial displacement gradients. The choice of temporal derivative approximation (i.e., backwards difference versus central difference) was found to have a significant influence on the computed rate of deformation and on the VFM results for the rate-dependent model used in this work. Finally, the noise introduced into the displacement data from a stereo-DIC simulator was found to have negligible influence on the VFM results. Evaluating the effects of assumptions and approximations using synthetic data is a critical first step for verifying and validating VFM for specific applications. The results of this work provide the foundation for confidently using VFM for experimental data.
The Civilian Cyber Strategic Initiative
Abstract not provided.
The Nevada Regional Test Center: An Opportunity for Impact
Abstract not provided.
PV Performance and Reliability in Snowy Climates: Opportunities and Challenges
Abstract not provided.
Eigenvector based Materials Identification Approach
Abstract not provided.
Digital quantum simulation of quantum optimal control
Abstract not provided.
Trajectory Data Analytics
Abstract not provided.
Geospatial-Temporal Semantic Graphsfor Remote Sensing Data Analysis
Abstract not provided.
Effect of ZnO-Saturated Electrolyte on Rechargeable Alkaline Zinc Batteries at High Depth-of-Discharge
Abstract not provided.
Verification and Monitoring: Their Role in Proliferation Prevention
Abstract not provided.
Emerging Trends in UAS and CUAS
Abstract not provided.
Machine Learning to Understand HPC Performance Variation
Abstract not provided.
Fission Gas Capture and Detection
Abstract not provided.
Strengthening security through partnership
Abstract not provided.
Life Extension of tanks for high pressure storage vessels
Abstract not provided.
Sandia / ISS Overview
Abstract not provided.
Facile Microwave Synthesis and Surface Modification of Rare Earth Oxide Nanospheres for Dispersion in Polymer Matrices
Abstract not provided.
Responsible Care
Abstract not provided.
Reporting Obligations under a CSA with Mod SQP
Abstract not provided.
Reformulating Friedman?s Implicit Integrator as a Single Step Method for Maxwell?s Equations as a First Order System
Abstract not provided.
2.3 Exercise: What is declarable under AP/mSQP
Abstract not provided.
2.4 Preparing the Initial Report
Abstract not provided.
2.5 Facilitated discussion on CSA/mSQP/AP
Abstract not provided.
Neutral Expansion Exact Solutions for Plasma Code Verification
Abstract not provided.
In-Situ Machine Learning for Intelligent Data Capture on Exascale Platforms
Abstract not provided.
Significant Vendor Impact of Sandia?s Portals Networking Technology
Abstract not provided.
Intro to Current Energy Converter (CEC) Modeling with SNL-Delft3D-CEC
Abstract not provided.
2.7 Facilitated Discussion: CSA/mSQP/AP implementation for Mongolia
Abstract not provided.
2.6 Benefits of Adopting the Modified Small Quantities Protocol
Abstract not provided.
2.1 2.1 Reports_and_Record_Systems_mSQP States
Abstract not provided.
Electromagnetic Pulse Grand Challenge NERC EMP Workshop
Abstract not provided.
Kokkos Emu Cilk Backend
Abstract not provided.
Skip the Intersection: Quickly Counting Common Neighbors on Shared-Memory Systems
Materials Chemistry to Advance Na-Batteries
Abstract not provided.
Multi-scale Multi-physics Modeling for PV Reliability
Abstract not provided.
Advanced Sensors Field Validation (MagSense)
Abstract not provided.
Quantitative Characterizations of Li-BESS with Comparable Fire and Explosion Hazards
Abstract not provided.
NTESS Supplier Partnerships Design and Construction
Abstract not provided.
Healthy ME: Using Data to Maximize Health Impact
Abstract not provided.
Nitride Electrode Stoichiometry Effects on Ferroelectric Response in Hafnium Zirconium Oxide Thin Films
Abstract not provided.
Ambient Temperature C-AFM Mapping of Conduction Through Aluminum Oxide
Abstract not provided.
Multi-Material Direct Energy Deposition for Custom Alloy Compositions
Abstract not provided.
WaveSPARC: Evaluation of Innovation Techniques for Wave Energy
Abstract not provided.
Performance characteristics of a vector sensor array in an energetic tidal channel
Abstract not provided.
Assessment of wave energy resources and factors affecting conversion
Abstract not provided.
Hardware-Aware Neural Architecture Search
Abstract not provided.
Data Analytics Repository for International Nuclear Safeguards
Abstract not provided.
High temperature synthesis and characterization of ultrathin tellurium nanostructures
APL Materials
Thin tellurium (Te) has been predicted as a potential two dimensional system exhibiting superior thermoelectric and electrical properties. Here, we report the synthesis of high quality ultrathin Te nanostructures and the study of their electrical properties at room temperature. High quality ultrathin Te nanostructures are obtained by high temperature vapor phase deposition on c-plane sapphire substrates. The obtained nanostructures are as thin as 3 nm and exhibit α-Te phase with trigonal crystal structure. Room temperature electrical measurements show significantly higher electrical conductivity compared to prior reports of Te in bulk form or in nanostructure form synthesized by low temperature vapor deposition or wet chemical methods. Additionally, these nanostructures exhibit high field effect hole mobility comparable to black-phosphorous measured previously under similar conditions.
Translating Site Information to MACCS Input Parameters
Abstract not provided.
Effect of quartz aperture covers on the fluid dynamics and thermal efficiency of falling particle receivers
Abstract not provided.
Extrusion of unilamellar lipid nanotubes by kinesin-powered microtubule filaments
Abstract not provided.
Pushing the Frontiers of Electron Microscopy Stressors
Abstract not provided.
Exploiting ?time-domain? parallelism to accelerate neural network training and PDE constrained optimization
Abstract not provided.
Marine Hydrokinetic Energy Assessment: Balancing Efficiency and Environmental Concerns
Abstract not provided.
!POLYMER BEHAVIOR IN HIGH PRESSURE HYDROGEN HELIUM AND ARGON ENVIRONMENTS AS APPLICABLE TO THE HYDROGEN INFRASTRUCTURE
Abstract not provided.
Evaluation of Composite Materials for Wave & Current Energy
Abstract not provided.
Mechanical Behavior of Bedded Salt Interfaces and Clay Seams Subjected to Shear ? September 2019 Update for WEIMOS
Abstract not provided.
INCA: In-Network Compute Assistance
Abstract not provided.
Mechanisms of Volatile Contaminants Affecting Vacuum Arc Initiation
Abstract not provided.
MPI Tag Matching Performance on ConnectX and ARM
Abstract not provided.
Verification of a PIC-Fluid Hybrid Code With the Two-stream Plasma Instability Problem
Abstract not provided.
Investigating Applicability of Surface Roughness Parameters in Describing the Metallic AM Process
Abstract not provided.
Structural Dynamic Performance of Additive and Conventional Manufactured Aerospace Metallic Alloys
Abstract not provided.
Polyurethane Foam Process Modeling: Foaming and Curing in a Complex Mold
Abstract not provided.
Requirements for Realistic and Effective Wave Energy Technology Performance Assessment Criteria and Metrics
Abstract not provided.
Investigation of Helium Behavior in Multilayered Hydride Structures Through In-situ TEM Ion Implantation
Abstract not provided.