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Figures of merit for production HPC

Allan, Benjamin A.

This report summarizes a set of figures of merit of interest in monitoring the hardware and hardware usage in a Sandia high performance computing (HPC) center. These figures are computable from high frequency monitoring data and other non-metric data and may aid administrators and customer support personnel in their decision processes. The figures are derived from interviews of the HPC center staff. The figures are in many cases simplistic data reductions, but they are our initial targets in creating dashboards that turn voluminous monitoring data into actionable information. Because simplistic reductions may obscure as well as reveal the situation under study, we also document the necessary 'drill-down' and %60exploration' views needed to make the data better understood quickly. These figures of merit may be compared to dashboarding tools documented by other HPC centers.

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Development of eXternal Nuclear Reaction Analysis (XNRA) Detection Technique for Quantifying Light Isotope Concentrations

Doyle, Barney L.

The National Nuclear Security Administration’s Tritium Sustainment Program is responsible for the design, development, demonstration, testing, analysis, and characterization of tritium-producing burnable absorber rods (TPBARs) and their components used to produce tritium for the nation’s strategic stockpile. The FY19 call for proposals included the specific basic science research topic, “Demonstration and evaluation of advanced characterization methods, particularly for quantifying the concentration of light isotopes (1H, 3H, 3He, and 4He, 6Li and 7Li) in metal or ceramic matrices”. Last year the same language appeared in the call for proposals, and a project IWO-389859 was awarded to the Ion Beam Lab (IBL) at Sandia-NM which was successful using Elastic Recoil Detection, but in the future could have resulted in tritium contamination that jeopardized other equally important NNSA projects. An alternative approach using deuterium nuclear reaction analysis was proposed and funded in FY2019 which was also successful and eliminated any possibility of contaminating the Ion Beam Laboratory with tritium, and will be described in this report.

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Cas9 Protein Post-translational Modifications (PTMs): A Potential Biomarker of Gene-editing

Podlevsky, Joshua P.

The clustered regularly interspaced short palindromic repeats (CRISPR) arrays and the CRISPR associated (Cas) proteins comprise a prevalent prokaryotic and archaeal adaptive immune system. The CRISPR/Cas9 system has been coopted for and become the ubiquitous gene-editing system due to the simplicity of requiring minimally the CRISPR RNA components and Cas9 protein for specific DNA sequence alteration. CRISPR/Cas9 has been extensively used for gene-editing a wide range of species with human patient trails currently underway. However, unsanctioned genome editing is a national security and public health threat that can cause serious permanent illness and death as well as having the potential for very long-lasting effects over generations due to genetic inheritance of the gene-edit. While the Cas9 protein would appear as a highly specific indicator of exposure to gene-editing reagents, the bacterial origins of CRISPR/Cas9 creates a daunting problem for detection. Bacterial Cas9 would then generate false-positives for detecting gene-editing by conventional molecular biology techniques. Antibody-based assays for Cas9 would be unable to distinguish between Cas9 expressed in human cells for gene-editing and highly common unrelated Cas9 from bacterial infections. Posttranslational modifications of proteins are highly cell specific and hold the potential for discerning the cellular origins of a Cas9 protein and the differentiating between bacterial and gene-editing CRISPR/Cas9. The work described herein is in progress towards the identification of Cas9 post-translational modifications from bacterial and human cell expressed Cas9.

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Xyce Parallel Electronic Simulator Users' Guide (V.6.12)

Keiter, Eric R.; Aadithya, Karthik V.; Mei, Ting; Russo, Thomas V.; Schiek, Richard L.; Sholander, Peter E.; Thornquist, Heidi K.; Verley, Jason C.

This manual describes the use of the Xyce Parallel Electronic Simulator. Xyce has been designed as a SPICE-compatible, high-performance analog circuit simulator, and has been written to support the simulation needs of the Sandia National Laboratories electrical designers. This development has focused on improving capability over the current state-of-the-art in the following areas: Capability to solve extremely large circuit problems by supporting large-scale parallel computing platforms (up to thousands of processors). This includes support for most popular parallel and serial computers. A differential-algebraic-equation (DAE) formulation, which better isolates the device model package from solver algorithms. This allows one to develop new types of analysis without requiring the implementation of analysis-specific device models. Device models that are specifically tailored to meet Sandia's needs, including some radiation-aware devices (for Sandia users only). Object-oriented code design and implementation using modern coding practices. Xyce is a parallel code in the most general sense of the phrase -- a message passing parallel implementation -- which allows it to run efficiently a wide range of computing platforms. These include serial, shared-memory and distributed-memory parallel platforms. Attention has been paid to the specific nature of circuit-simulation problems to ensure that optimal parallel efficiency is achieved as the number of processors grows.

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Xyce Parallel Electronic Simulator Reference Guide (V.6.12)

Keiter, Eric R.; Aadithya, Karthik V.; Mei, Ting; Russo, Thomas V.; Schiek, Richard L.; Sholander, Peter E.; Thornquist, Heidi K.; Verley, Jason C.

This document is a reference guide to the Xyce Parallel Electronic Simulator, and is a companion document to the Xyce Users' Guide [1]. The focus of this document is (to the extent possible) exhaustively list device parameters, solver options, parser options, and other usage details of Xyce. This document is not intended to be a tutorial. Users who are new to circuit simulation are better served by the Xyce Users' Guide.

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Finite-element modeling for an explosively loaded ferroelectric generator

Niederhaus, John H.; Yang, Pin Y.; DiAntonio, Christopher D.; Vunni, George

A preliminary finite-element model has been developed using the ALEGRA-FE code for explosive driven depoling of a PZT 95/5 ferroelectric generator. The ferroelectric material is characterized using hysteresis-loop and hydrostatic depoling tests. These characteristics are incorporated into ALEGRA-FE simulations that model the explosive drive mechanism and shock environment in the material leading to depoling, as well as the ferroelectric response and the behavior of a coupled circuit. The ferroelectric-to-antiferroelectric phase transition is captured, producing an output voltage pulse that matches experimental data to within 10% in rise time, and to within about 15% for the final voltage. Both experimental and modeled pulse magnitudes are less than the theoretical maximum output of the material. Observations from materials characterization suggest that unmodeled effects such as trapped charge in the stored FEG material may have influenced the experimentally observed output.

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Microwave Doppler Charge Velocimetry for Narrow and Wide Bandgap Semiconductors

Shaner, Eric A.; Klem, John F.; Stephenson, Chad A.; Kadlec, Clark N.; Goldflam, Michael G.; Wasserman, Daniel

Characterization of vertical transport in semiconductor heterostructures is extremely difficult and often impractical. Measurements that are relatively straight forward in lateral transport using Hall methods, such as quantifying carrier density or mobility, have no analog in conventional vertical devices. Doppler charge velocimetry may provide an alternative approach to obtaining transport information. We hypothesize that we can drive vertical currents in structures like heterojunction bipolar transistors or nBn detectors, illuminate them with microwaves, and directly measure the carrier velocities through Doppler shifts imparted on the reflected microwave signal. Some challenges involve providing optical injection and working in the vertical geometry required to extract the desired information. While progress was made to this end, experiments have not yet proved successful. Implications for infrared material characterization are summarized at the end of this document.

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ParaChoice Model

Proctor, Camron P.; Wiryadinata, Steven W.; Fruetel, Julia A.

Sandia National Laboratories' (SNL's) Parametric Choice Model (ParaChoice) supports the U.S. Department of Energy Vehicle Technologies Office (VTO) mission. Using early-stage research as input, ParaChoice supports the informed development of technology that will improve affordability of transportation, while encouraging innovation and reducing dependence on petroleum. Analysis with ParaChoice enables exploration of key factors that influence consumer choice, as well as projecting the effects of technology, fuel, and infrastructure development for the vehicle fleet mix. Because of the distinct differences between requirements, needs, and use patterns for light duty vehicles (LDVs) relative to heavy duty vehicles (HDVs), this project separately models the dynamics of each of these segments to accurately characterize the factors that influence technology adoption.

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Quantifying Uncertainty in Emulations (LDRD Report)

Crussell, Jonathan C.; Brown, Aaron B.; Jennings, Jeremy K.; Kavaler, David; Kroeger, Thomas M.; Phillips, Cynthia A.

This report summarizes the work performed under the project “Quantifying Uncertainty in Emulations.” Emulation can be used to model real-world systems, typically using virtualization to run the real software on virtualized hardware. Emulations are increasingly used to answer mission-oriented questions, but how well they represent the real-world systems is still an open area of research. The goal of the project was to quantify where and how emulations differ from the real world. To do so, we ran a representative workload on both, and collected and compared metrics to identify differences. We aimed to capture behaviors, rather than performance, differences as the latter is more well-understood in the literature.

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Energy Storage Financing: Advancing Contracting in Energy Storage

Baxter, Richard

The lack of standard financing contracts and supporting documents is inhibiting the growth of the energy storage industry. A number of firms are actively developing proprietary contract structures, resulting in a variety of unique attributes. This leaves the market disjointed for 3rd party financing groups looking to scale their lending. Lack of commonality and harmonization between developer and lenders raises project execution costs and causes delays in financing. Of special concern, projects based on emerging technologies are finding an increasing uphill climb for equal consideration by developers and lenders, leaving their potential commercialization in peril. This study will evaluate the development of standardi7ed contracts to reduce the cost and contract approval time, learning from success in renewable energy project development. The goal of this study is to determine the key requirements for standard contracts in the emerging energy storage market, and suggest avenues for possible industry led development.

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Autonomy for Hypersonics Mission Campaign (A4H)

Chavez, Jon C.

A4H is developing autonomous hypersonic flight vehicles that can intelligently navigate, guide, and control themselves and home-in on targets. Autonomous systems are characterized by the use of closed-loop SENSE-THINK-ACT operations to achieve their desired goals. Closing the SENSE-THINK-ACT loop onboard these systems will provide an improved ability to engage diverse targets in contested environments.

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SPARR: Spiking/Processing Array for Wide Dynamic Range and High Resolution Photonic Sensing

Hays, Park E.; Kagie, Matthew J.; Karelitz, David B.; Kay, Randolph (Rex); Mincey, John S.; Woods, Mark C.

The Spiking/Processing Array (spARR) is a novel photonic focal plane that uses pixels which generate electronic spikes autonomously and without a clock. These spikes feed into a network of digital asynchronous processing elements or DAPES. By building a useful assemblage of DAPES, and connecting them together in the correct way, sophisticated signal processing can be accomplished within the focal plane. Autonomous self-resetting pixels (AsP) enable SPARR to generate electronic response with very small signals--as little as a single photon in the case of Geiger mode avalanche photodiodes to as few as several hundred photons for in-cmos photodetectors. These spiking pixels enable fast detector response, but do not draw as much continuous power as synchronous clocked designs. The spikes emitted by the pixels all have the same magnitude, the information from the scene is effectively encoded into the rate of spikes and the time at which the spike is emitted. The spiking pixels, having converted incident light into electronic spikes, supply the spikes to a network of digital asynchronous processors. These are small state machines which respond to the spikes arriving at their input ports by either remaining unchanged or updating their internal state and possibly emitting a spike on one or more output ports. We show a design that accomplishes the sophisticated signal processing of a Haar spatial wavelet transform with spatial-spectral whitening. We furthermore show how this design results in a data streams which support imaging and transient optical source detection. Two simulators support this analysis: SPICE and sparrow. The CMOS SPICE simulator Cadence provides accurate CMOs design with accounting for effects of circuit parasitics throughout layout, accurate timing, and accurate energy consumption estimates. To more rapidly assess larger networks with more pixels, sparrow is a custom discrete event simulator that supports the non-homogeneous Poisson processes that lie behind photoelectric interaction. Sparrow is a photon-exact simulator that nevertheless performs SPARR system simulator for large-scale systems.

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The dual advanced ion simultaneous implantation experiment (DAISIE) for testing plasma-facing materials

Review of Scientific Instruments

Jasica, Matthew J.; Kulcinski, Gerald L.; Santarius, John F.; Bonomo, Richard M.

A new dual ion beam experimental facility, the Dual Advanced Ion Simultaneous Implantation Experiment (DAISIE), has been constructed at the University of Wisconsin-Madison Inertial Electrostatic Confinement laboratory for implanting candidate plasma-facing components of multiple ion species. DAISIE is capable of implanting ions at energies from 10 kV to 50 kV, ion currents of 10 μA-950 μA, corresponding to steady-state ion fluxes of 1 × 1014 cm-2 s-1 to 1 × 1016 cm-2 s-1, incidence angles of 55°, and surface temperatures of at least 1100 °C. Improvements to the sample current and sample temperature measurement and control systems over those used in prior UW-IEC experiments have been made. Optical measurements of the spot size of the beam on samples in DAISIE are in agreement with existing measurements of the ion beam and spot size in previous UW-IEC experiments. Dual-beam operation has been confirmed with helium-deuterium ion implantations in tungsten surfaces.

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Bridging the Gap: Thermal Properties in Composites from Microscale Constituents to Macroscale Performance

Hodges, Wyatt L.; Ziade, Elbara Z.; Laros, James H.

In this work, a finite element analysis model was developed to predict the frequency domain thermal response to heat input from a gaussian heat source for arbitrary 2-dimensional geometries. The model was used for geometric parameter fitting of samples experimentally measured using Frequency Domain Thermoreflectance (FDTR). Inverse fitting was performed to on experimental data to extract characteristic geometries of samples with feature sizes smaller than the Il e 2 radius of the laser used to probe the system. Further simulations were done to demonstrate the ability of the system to detect a variety of feature types. Silicon wafers with 50 nm to 1 pm of wet thermal oxide were measured and fit. Finally, microparticles suspended in epoxy were imaged using FDTR.

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ER Consolidated Qtrly Rpt_October 2019

Leigh, Christi D.

This Sandia National Laboratories, New Mexico Environmental Restoration Operations (ER) Consolidated Quarterly Report (ER Quarterly Report) fulfills all quarterly reporting requirements set forth in the Compliance Order on Consent. Table I-1 lists the six sites remaining in the corrective action process.

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Discharge Permit-1845 Quarterly Status Report October 2019

Li, Jun L.

Trichloroethene (TCE) and nitrate have been identified as constituents of concern in groundwater at the Sandia National Laboratories, New Mexico (SNL/NM) Technical Area (TA)-V Groundwater (TAVG) Area of Concern (AOC) based on detections above the U.S. Environmental Protection Agency (EPA) maximum contaminant levels in samples collected from monitoring wells. The maximum contaminant levels and the State of New Mexico drinking water standards, as specified in 20.6.2.3103 New Mexico Administrative Code (NMAC) for TCE and nitrate (as nitrogen) are 5 micrograms per liter (p,g/L) and 10 milligrams per liter (mg/L), respectively.

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Position and Timing Resolution Measurements ofOrganic-Glass scintillator bars for the OpticallySegmented Single-Volume Scatter Camera

Sweany, Melinda; Brown, Jason B.; Cabrera-Palmer, Belkis C.; Carlson, Joseph S.; Dorrill, R.; Druetzler, A.; Elam, J.; Febbraro, M.; Feng, Patrick L.; Folsom, Michael W.; Galino-Tellez, A.; Goldblum, B.; Hausladen, P.; Kaneshige, N.; Keffe, K.; Laplace, T.; Learned, J.; Mane, A.; Manfredi, Juan; Marleau, Peter M.; Mattingly, J.; Mishra, M.; Moustafa, A.; Nattress, J.; Steele, John T.; Weinfurther, K.; Ziock, K.

Abstract not provided.

Current Status of an Optically-Segmented Single-Volume Scatter Camera for Neutron Imaging

Brown, J.A.; Brubaker, Erik B.; Dorril, R.; Druetzler, A.; Elam, J.; Febbraro, M.; Feng, Patrick L.; Folsom, Michael W.; Galino-Tellez, A.; Goldblum, B.L.; Hausladen, P.; Kaneshige, N.; Keffe, K.; Laplace, T.; Learned, J.G.; Mane, A.; Manfredi, Peter; Marleau, Peter; Mattingly, J.; Mishra; Almanza-Madrid, Rene A.; Moustafa, A.; Nattress, J.; Steele, John T.; Sweany, Melinda; Weinfurther, K.; Ziock, K.

Abstract not provided.

Results 18801–19000 of 96,771
Results 18801–19000 of 96,771