Search Results - "Grosskopf, J."

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    A randomized, placebo-controlled study of oxcarbazepine in painful diabetic neuropathy by Grosskopf, J., Mazzola, J., Wan, Y., Hopwood, M.

    Published in Acta neurologica Scandinavica (01-09-2006)
    “…Objectives:  To evaluate the efficacy and safety of oxcarbazepine (1200 mg/day) in patients with painful diabetic neuropathy in a multicentre, double‐blind,…”
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    Journal Article
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    Two-Dimensional Blast-Wave-Driven Rayleigh-Taylor Instability: Experiment and Simulation by Kuranz, C. C, Drake, R. P, Harding, E. C, Grosskopf, M. J, Robey, H. F, Remington, B. A, Edwards, M. J, Miles, A. R, Perry, T. S, Blue, B. E, Plewa, T, Hearn, N. C, Knauer, J. P, Arnett, D, Leibrandt, D. R

    Published in The Astrophysical journal (01-05-2009)
    “…This paper shows results from experiments diagnosing the development of the Rayleigh-Taylor instability with two-dimensional initial conditions at an embedded,…”
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    Journal Article
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    Temporal Characterization and Filtering of Sensor Data to Support Anomaly Detection by Grosskopf, Michael J., Myers, Kary, Lawrence, Earl, Bingham, Derek

    Published in Technometrics (02-10-2022)
    “…We present an approach for characterizing complex temporal behavior in the sensor measurements of a system in order to support detection of anomalies in that…”
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    Journal Article
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    Prediction and Computer Model Calibration Using Outputs From Multifidelity Simulators by Goh, Joslin, Bingham, Derek, Holloway, James Paul, Grosskopf, Michael J., Kuranz, Carolyn C., Rutter, Erica

    Published in Technometrics (01-11-2013)
    “…Computer simulators are widely used to describe and explore physical processes. In some cases, several simulators are available, each with a different degree…”
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    Journal Article
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    Driving mode analysis—How uncertain functional inputs propagate to an output by Vander Wiel, Scott A., Grosskopf, Michael J., Michaud, Isaac J., Neudecker, Denise

    Published in Statistical analysis and data mining (01-02-2024)
    “…Driving mode analysis elucidates how correlated features of uncertain functional inputs jointly propagate to produce uncertainty in the output of a…”
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    Journal Article
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    Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning by Nakhleh, Julia B., Fernandez-Godino, M. Giselle, Grosskopf, Michael J., Wilson, Brandon M., Kline, John, Srinivasan, Gowri

    Published in IEEE transactions on plasma science (01-07-2021)
    “…Building a sustainable burn platform in inertial confinement fusion (ICF) requires an understanding of the complex coupling of physical processes and the…”
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    CALIBRATING A LARGE COMPUTER EXPERIMENT SIMULATING RADIATIVE SHOCK HYDRODYNAMICS by Gramacy, Robert B., Bingham, Derek, Holloway, James Paul, Grosskopf, Michael J., Kuranz, Carolyn C., Rutter, Erica, Trantham, Matt, Drake, R. Paul

    Published in The annals of applied statistics (01-09-2015)
    “…We consider adapting a canonical computer model calibration apparatus, involving coupled Gaussian process (GP) emulators, to a computer experiment simulating…”
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    Identifying Entangled Physics Relationships Through Sparse Matrix Decomposition to Inform Plasma Fusion Design by Fernandez-Godino, M. Giselle, Grosskopf, Michael J., Nakhleh, Julia B., Wilson, Brandon M., Kline, John L., Srinivasan, Gowri

    Published in IEEE transactions on plasma science (01-08-2021)
    “…A sustainable burn platform through inertial confinement fusion (ICF) has been an ongoing challenge for over 50 years. Mitigating engineering limitations and…”
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    Blast-wave driven Kelvin-Helmholtz shear layers in a laser driven high-energy-density plasma by Hurricane, O. A., Hansen, J. F., Harding, E. C., Smalyuk, V. A., Remington, B. A., Langstaff, G., Park, H.-S., Robey, H. F., Kuranz, C. C., Grosskopf, M. J., Gillespie, R. S.

    Published in Astrophysics and space science (01-11-2011)
    “…The first successful high energy density Kelvin-Helmholtz (KH) shear layer experiments (O.A. Hurricane et al. in Phys. Plasmas, 16:056305, 2009 ; E.C. Harding…”
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    Observation of a Kelvin-helmholtz instability in a high-energy-density plasma on the omega laser by Harding, E C, Hansen, J F, Hurricane, O A, Drake, R P, Robey, H F, Kuranz, C C, Remington, B A, Bono, M J, Grosskopf, M J, Gillespie, R S

    Published in Physical review letters (24-07-2009)
    “…A laser initiated experiment is described in which an unstable plasma shear layer is produced by driving a blast wave along a plastic surface with sinusoidal…”
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    Journal Article
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    Measurement of radiative shock properties by x-ray Thomson scattering by Visco, A J, Drake, R P, Glenzer, S H, Döppner, T, Gregori, G, Froula, D H, Grosskopf, M J

    Published in Physical review letters (02-04-2012)
    “…X-ray Thomson scattering has enabled us to measure the temperature of a shocked layer, produced in the laboratory, that is relevant to shocks emerging from…”
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    Data Assimilation using Non-invasive Monte Carlo Sensitivity Analysis of Reactor Kinetics Parameters by Kleedtke, N., Hutchinson, J., Cutler, T., Michaud, I., Rising, M.E., Hua, M., Alwin, J., Grosskopf, M.J., Vander Wiel, S., Neudecker, D., Thompson, N.

    Published in EPJ Web of conferences (01-01-2023)
    “…Accurately predicting the criticality of an experiment before interacting with the experimental components is very important for criticality safety. Radiation…”
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    Journal Article Conference Proceeding
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    EUCLID: A New Approach to Constrain Nuclear Data via Optimized Validation Experiments using Machine Learning by Hutchinson, J., Alwin, J., Clark, A.R., Cutler, T., Grosskopf, M.J., Haeck, W., Herman, M.W., Kleedtke, N., Lamproe, J., Little, R.C., Michaud, I.J., Neudecker, D., Rising, M.E., Smith, T., Thompson, N., Vander Wiel, S., Wynne, N.

    Published in EPJ Web of conferences (2023)
    “…Compensating errors between several nuclear data observables in a library can adversely impact application simulations. The EUCLID project (Experiments…”
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    Journal Article Conference Proceeding
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    Progress on Machine Learning Informed Design Optimization for Double Shell Capsule Graded Density Inner Layer Targets by Vazirani, Nomita, Grosskopf, Michael J., Stark, David J., Bradley, Paul, Haines, B., Loomis, Eric, England, Scott L., Scales, Wayne

    “…Advances in machine learning have the ability to cut down design costs and enhance the design process for high-energy-density experiments. Machine learning can…”
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    Conference Proceeding
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    Modeling of multi-interface, diverging, hydrodynamic experiments for the National Ignition Facility by Grosskopf, M. J., Drake, R. P., Kuranz, C. C., Miles, A. R., Hansen, J. F., Plewa, T., Hearn, N., Arnett, D., Wheeler, J. C.

    Published in Astrophysics and space science (01-08-2009)
    “…The National Ignition Facility (NIF) will soon provide experiments with far more than ten times the energy than has been previously available on laser…”
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    Journal Article
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    Uncovering Where Compensating Errors Could Hide in ENDF/B-VIII.0 by Neudecker, D., Alwin, J., Clark, A.R., Cutler, T., Gibson, N., Grosskopf, M.J., Haeck, W., Herman, M.W., Hutchinson, J., Kleedtke, N., Lamproe, J., Little, R.C., Michaud, I.J., Rising, M.E., Smith, T., Thompson, N., Vander Wiel, S.

    Published in EPJ Web of Conferences (01-01-2023)
    “…Unconstrained physics spaces between two or more nuclear data observables in a library occur when their values can be simultaneously adjusted without violating…”
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    Journal Article Conference Proceeding