Jaideep Ray

Technical Staff

(925) 294-3638

Sandia National Laboratories, California
P.O. Box 969
Livermore, CA 94551-0969

I am an aerodynamicist by training. I received my Ph.D. in Mechanical and Aerospace Engineering in 1999 from Rutgers, The State University of New Jersey.

I work broadly in computational science, with particular emphasis on merging data and models (data-model fusion). This is also called calibration.

View my Curriculum Vitae
Link to my Google Scholar page
ORCID: 0090-0000-9908-7035

Research Interests

My research interests are:

Bayesian inverse problems, where I develop Markov chain Monte Carlo methods, multiscale random field models, surrogate models for climate models and Reynolds-averaged Navier-Stokes simulators
Epidemiology, including characterization of partially-observed outbreaks
High-order numerical methods, especially development of fourth-order finite-difference methods for block-structured adaptively refined meshes. I use these methods for simulating flames.
Compressible fluid dynamics, including development of analytical models for Richtmeyer-Meshkov instabilities and the calibration of turbulence models

I have been funded numerous times as a PI by the US Department of Defense/Defense Threat Reduction Agency, US Department of Energy/Office of Science and by Sandia’s Laboratory Directed R & D program.

I publish papers, technical reports as well as release open-source software. You can access them from the links above.

News and media

A layman’s terms description of my epidemiology work.
COVID-19 contributions, but on YouTube!
Sandia Lab News article on COVID-19 work.
DOE funds maturation of the mathematics & software developed during COVID-19 (and later) using LDRD funds.
Non-epidemiological work that I also do.
“Systems and methods for screening particle source manufacturing and development test data”, Rosalie A. Multari, Jaideep Ray, Lisa Michelle Miller, Paul Girard Cummings, Jr., Robert Ferrizz, Lisa A. Walla, Nishant Bhupendra Patel, Shawn Martin and Curtis Co, US Patent 11,719,727, issued August 8, 2023.

Recent Publications

Chowdhary, K., Hoang, C., Ray, J., klee263, &., & klee263, &. (2022). Calibrating hypersonic turbulence flow models with the HIFiRE-1 experiment using data-driven machine-learned models. Computer Methods in Applied Mechanics and Engineering, 401. https://doi.org/10.1016/j.cma.2022.115396 Publication ID: 80049
Cauthen, K., Rai, P., Hale, N., Freeman, L., Ray, J., & Ray, J. (2022). Detecting technological maturity from bibliometric patterns. Expert Systems with Applications, 201. https://doi.org/10.1016/j.eswa.2022.117177 Publication ID: 80638
Miller, N., Beresh, S., Ray, J., & Ray, J. (2022). Validation of Calibrated k–ε Model Parameters for Jet-in-Crossflow. AIAA Journal, 60(8), pp. 4699-4713. https://doi.org/10.2514/1.j061396 Publication ID: 80759
Oldfield, R., Kramer, S., Rushdi, A.A., Acquesta, E., Emery, J., Kuberry, P., Ray, J., Ackerman, S., Cyr, E., Saavedra, G., Hughes, C., Cardwell, S., Smith, J., & Smith, J. (2021). The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans [Presentation]. https://www.osti.gov/biblio/1895016 Publication ID: 76429
Ray, J., Barone, M., Domino, S., & Domino, S. (2021). Assembling training datasets for generalizable machine-learned turbulence models [Conference Presenation]. https://doi.org/10.2172/1894994 Publication ID: 76479
Blonigan, P., Ray, J., Safta, C., & Safta, C. (2021). Forecasting Multi-Wave Epidemics Through Bayesian Inference. Archives of Computational Methods in Engineering, 28(6), pp. 4169-4183. https://doi.org/10.1007/s11831-021-09603-9 Publication ID: 78286
Ray, J., Barone, M., Domino, S., Banerjee, T., Ranka, S., & Ranka, S. (2021). Verification of Data-Driven Models of Physical Phenomena using Interpretable Approximation. https://doi.org/10.2172/1821318 Publication ID: 75798
Multari, R., Co, C., Ferrizz, R., Miller, L., Bujewski, E., Howard, J., Nelson, M., Dailey, M., Marklin, S., Kalinich, D., Ray, J., & Ray, J. (2021). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data [Conference Presenation]. https://www.osti.gov/biblio/1877985 Publication ID: 79412
Multari, R., Co, C., Ferrizz, R., Miller, L., Bujewski, E., Howard, J., Nelson, M., Dailey, M., Marklin, S., Kalinich, D., Ray, J., & Ray, J. (2021). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data [Conference Presenation]. https://doi.org/10.2172/1877984 Publication ID: 79413
Ray, J., Barone, M., Domino, S., & Domino, S. (2021). Assembling training datasets for generalizable machine-learned turbulence models [Conference Presenation]. https://doi.org/10.2172/1889553 Publication ID: 79238
Lee, K., Ray, J., Safta, C., & Safta, C. (2021). The predictive skill of convolutional neural networks models for disease forecasting. PLoS ONE, 16(7 July). https://doi.org/10.1371/journal.pone.0254319 Publication ID: 79098
Robbins, B., Coffin, P., Delgado, P., Smith, J., Dechant, L., Casper, K.M., Ray, J., & Ray, J. (2021). Aerospace Vehicle Random Vibration Research at Sandia National Laboratories [Presentation]. https://www.osti.gov/biblio/1863198 Publication ID: 78033
Ray, J. (2021). Verification of ML models via interpretable approximations [Presentation]. https://www.osti.gov/biblio/1856299 Publication ID: 77700
Volkova, S., Stracuzzi, D., Shafer, J., Ray, J., Pullum, L., & Pullum, L. (2021). Robustness and Validation of Model and Digital Twins Deployment. https://doi.org/10.2172/1770631 Publication ID: 77106
Ray, J., Blonigan, P., Safta, C., Sargsyan, K., & Sargsyan, K. (2021). Characterization of Partially Observed Epidemics Through Bayesian Inference – Application to COVID-19 Forecasts [Conference Presenation]. https://doi.org/10.2172/1842250 Publication ID: 75113
Ray, J., Barone, M., Domino, S., & Domino, S. (2021). Assembling training datsets for generalizable machine-learned models of physical phenomena [Conference Presenation]. https://doi.org/10.2172/1842253 Publication ID: 75116
Safta, C., Blonigan, P., Ray, J., & Ray, J. (2021). Forecasting multi-wave epidemics through Bayesian Inference – Application to COVID-19 [Presentation]. https://www.osti.gov/biblio/1843323 Publication ID: 75185
Safta, C., Ray, J., Sargsyan, K., & Sargsyan, K. (2020). Characterization of partially observed epidemics through Bayesian inference: application to COVID-19. Computational Mechanics, 66(5), pp. 1109-1129. https://doi.org/10.1007/s00466-020-01897-z Publication ID: 74505
Safta, C., Ray, J., & Ray, J. (2020). COVID-19 Forecasting via COMBO [Presentation]. https://www.osti.gov/biblio/1807656 Publication ID: 74014
Safta, C., Ray, J., & Ray, J. (2020). Characterization of Partially Observed Epidemics – Application to COVID-19 Forecasts [Presentation]. https://www.osti.gov/biblio/1811796 Publication ID: 74271
Multari, R., Co, C., Cummings, P., Ferrizz, R., Martin, S., Miller, L., Patel, N., Walla, L., Ray, J., & Ray, J. (2020). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data [Presentation]. https://www.osti.gov/biblio/1811805 Publication ID: 74281
Cauthen, K., Rai, P., Ray, J., & Ray, J. (2020). ANN classifier for technological maturity based on bibliometric patterns [Presentation]. https://www.osti.gov/biblio/1811984 Publication ID: 74326
Multari, R., Ray, J., Miller, L., Ferrizz, R., Cummings, P., Co, C., Walla, L., Martin, S., & Martin, S. (2020). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data [Conference Poster]. https://www.osti.gov/biblio/1766727 Publication ID: 72591
Ray, J., Young, C.J., Wang, F., & Wang, F. (2019). Detecting seismic wave arrivals using multi-instance learn [Conference Poster]. https://www.osti.gov/biblio/1643528 Publication ID: 66623
Wang, F., Ray, J., Pinar, A., & Pinar, A. (2019). Multiple Instance Learning: Application to Seismic Event Detection and Open Problems [Presentation]. https://www.osti.gov/biblio/1646086 Publication ID: 65724
Winovich, N., Rushdi, A.A., Phipps, E., Ray, J., Lin, G., Ebeida, M., & Ebeida, M. (2019). Rigorous Data Fusion for Computationally Expensive Simulations. https://doi.org/10.2172/1560809 Publication ID: 64705
Miller, N., Beresh, S., Ray, J., & Ray, J. (2019). Validation of calibrated k-ε model parameters for jet-in-crossflow [Conference Poster]. https://www.osti.gov/biblio/1640137 Publication ID: 68730
Ray, J., Kieweg, S., Dinzl, D., Carnes, B., Weirs, V.G., Freno, B., Howard, M., Smith, T., & Smith, T. (2019). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments. AIAA Scitech Forum, 2019. https://doi.org/10.2514/6.2019-2279 Publication ID: 73466
Ray, J., Cauthen, K., Lefantzi, S., Burks, L., & Burks, L. (2019). Conditioning multi-model ensembles for disease forecasting. https://doi.org/10.2172/1492995 Publication ID: 64512
Glass, M., Crozier, P.S., Howard, M., Kieweg, S., Ray, J., & Ray, J. (2019). SNL ASC/ATDM FY19 SPARC L2 Milestone Initial Review: Credibility Performance and Scalability [Presentation]. https://www.osti.gov/biblio/1643833 Publication ID: 64486
Kieweg, S., Ray, J., Weirs, V., Carnes, B., Dinzl, D., Freno, B., Howard, M., Phipps, E., Rider, W., Smith, T., & Smith, T. (2019). Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ Sensitivity Analysis and Validation Metrics [Conference Poster]. https://www.osti.gov/biblio/1592001 Publication ID: 64251
Ray, J., Burks, L., Young, C.J., & Young, C.J. (2018). Detecting P-waves in streaming seismic data using a hidden Markov model [Conference Poster]. https://www.osti.gov/biblio/1761105 Publication ID: 60449
Kieweg, S., Ray, J., Weirs, V.G., Carnes, B., Dinzl, D., Freno, B., Howard, M., Phipps, E., Rider, W., Smith, T., Nompelis, I., Candler, G., & Candler, G. (2018). Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification Sensitivity Analysis and Validation Metrics [Conference Poster]. https://doi.org/10.2514/6.2019-2278 Publication ID: 60450
Forrest, R., Ray, J., Young, C.J., & Young, C.J. (2018). Detecting Low Magnitude Seismic Events Using Convolutional Neural Networks [Conference Poster]. https://www.osti.gov/biblio/1807058 Publication ID: 60555
Ray, J., Dechant, L., Lefantzi, S., Ling, J., Arunajatesan, S., & Arunajatesan, S. (2018). Robust Bayesian calibration of a k-ϵ model for compressible jet-in-crossflow simulations. AIAA Journal, 56(12), pp. 4893-4909. https://doi.org/10.2514/1.J057204 Publication ID: 63213
Ray, J., Kieweg, S., Dinzl, D., Carnes, B., Weirs, V.G., Freno, B., Howard, M., Smith, T., Nompelis, I., Candler, G., & Candler, G. (2018). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments [Conference Poster]. https://doi.org/10.2514/6.2019-2279 Publication ID: 60655
Finley, P., Finley, P., Finley, P., Finley, P., Levin, D., Levin, D., Levin, D., Levin, D., Flanagan, T., Flanagan, T., Flanagan, T., Flanagan, T., Beyeler, W., Beyeler, W., Beyeler, W., Beyeler, W., Mitchell, M., Mitchell, M., Mitchell, M., … Forrest, S. (2018). Biologically inspired approaches for biosurveillance anomaly detection and data fusion. https://doi.org/10.2172/1489542 Publication ID: 60662
Ray, J., Kieweg, S., Dinzl, D., Carnes, B., Weirs, V.G., Freno, B., Howard, M., Smith, T., Nompelis, I., Candler, G., & Candler, G. (2018). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments [Conference Poster]. https://doi.org/10.2514/6.2019-2279 Publication ID: 60318
Ebeida, M., Swiler, L., Phipps, E., Ray, J., & Ray, J. (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling [Conference Poster]. https://www.osti.gov/biblio/1524960 Publication ID: 62390
Weirs, V.G., Carnes, B., Dinzl, D., Howard, M., Kieweg, S., Ray, J., Rider, W., Smith, T., & Smith, T. (2018). A Validation Study for a Hypersonic Flow Model [Conference Poster]. https://www.osti.gov/biblio/1515624 Publication ID: 62144
Ray, J. (2018). Efficient source reconstruction using neutron data [Presentation]. https://www.osti.gov/biblio/1507483 Publication ID: 61467
Ray, J., Burks, L., Cauthen, K., & Cauthen, K. (2018). Conditioning Multi-model Ensembles for Disease Forecasting [Conference Poster]. https://www.osti.gov/biblio/1575176 Publication ID: 61589
Edwards, D., Ray, J., Tucker, M., Whetzel, J., Cauthen, K., & Cauthen, K. (2018). Final Documentation: Incident Management And Probabilities Courses of action Tool (IMPACT). https://doi.org/10.2172/1430792 Publication ID: 61305
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2018). Learning an eddy viscosity model using shrinkage and Bayesian calibration: A jet-in-crossflow case study. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 4(1). https://doi.org/10.1115/1.4037557 Publication ID: 55221
Ray, J., Burks, L., Cauthen, K., Lefantzi, S., & Lefantzi, S. (2018). Conditioning multi-model ensembles for disease forecasting [Presentation]. https://www.osti.gov/biblio/1514818 Publication ID: 60181
Ray, J., Burks, L., Cauthen, K., Lefantzi, S., & Lefantzi, S. (2018). Conditioning multi-model ensembles for disease forecasting [Presentation]. https://www.osti.gov/biblio/1514819 Publication ID: 60187
Brzustowicz, M., Ray, J., & Ray, J. (2018). Tensor Decomposition of Airborne Telemetry Data [Conference Poster]. https://www.osti.gov/biblio/1498437 Publication ID: 60892
Reichardt, T., Greathouse, J.A., Ray, J., Craven, J., Eaton, S., Brady, P., Kulp, T., & Kulp, T. (2018). Developing the Color Key for “Hyperspectral Google Earth” [Presentation]. https://www.osti.gov/biblio/1806474 Publication ID: 58741
Phipps, E., Turner, D., Maupin, K., Ray, J., Ridzal, D., & Ridzal, D. (2018). SNL ATDM Math Libraries ? Data Propagation Components [Presentation]. https://www.osti.gov/biblio/1806499 Publication ID: 58775
Ren, H., Ray, J., Hou, Z., Huang, M., Bao, J., Swiler, L., & Swiler, L. (2017). Bayesian inversion of seismic and electromagnetic data for marine gas reservoir characterization using multi-chain Markov chain Monte Carlo sampling. Journal of Applied Geophysics, 147, pp. 68-80. https://doi.org/10.1016/j.jappgeo.2017.10.004 Publication ID: 53853
Burks, L., Forrest, R., Ray, J., Brogan, R., & Brogan, R. (2017). Detecting Seismic Events Using a Supervised Hidden Markov Model (HMM) [Conference Poster]. https://www.osti.gov/biblio/1487011 Publication ID: 54643
Forrest, R., Ray, J., Hansen, C., Young, C.J., Burks, L., & Burks, L. (2017). Using discrete wavelet transform features to discriminate between noise and phases in seismic waveforms [Conference Poster]. https://www.osti.gov/biblio/1488333 Publication ID: 54680
Ray, J., Huang, M., Ren, H., Bao, J., Hou, Z., Swiler, L., & Swiler, L. (2017). Multi-chain Markov chain Monte Carlo methods for computationally expensive models [Conference Poster]. https://www.osti.gov/biblio/1488741 Publication ID: 54732
Ray, J., Lefantzi, S., Cauthen, K., & Cauthen, K. (2017). Gap-filling disease activity data [Conference Poster]. https://www.osti.gov/biblio/1510918 Publication ID: 54102
Cauthen, K., Ray, J., Lefantzi, S., Burks, L., Lee, J., & Lee, J. (2017). Dynamic Model Averaging for Disease Forecasting [Conference Poster]. https://www.osti.gov/biblio/1509801 Publication ID: 53402
Ray, J., Huang, M., & Huang, M. (2017). Scalable Adaptive CHain Ensemble Sampling (SACHES) [Conference Poster]. https://www.osti.gov/biblio/1470946 Publication ID: 58454
Swiler, L., Ray, J., Swiler, L., Ebeida, M., Huang, M., Hou, Z., Bao, J., Ren, H., & Ren, H. (2017). SAChES: Scalable Adaptive Chain-Ensemble Sampling. https://doi.org/10.2172/1380101 Publication ID: 58308
Gomez, D., Kenny, J., Ray, J., & Ray, J. (2017). Classifying Seismic Events for Monitoring [Presentation]. https://www.osti.gov/biblio/1508480 Publication ID: 57557
Dechant, L., Ray, J., Lefantzi, S., Ling, J., Arunajatesan, S., & Arunajatesan, S. (2017). K-ε Turbulence Model Parameter Estimates Using an Approximate Self-similar Jet-in-Crossflow Solution. AIAA Journal. https://doi.org/10.2514/6.2017-4167 Publication ID: 54799
Dechant, L., Ray, J., Lefantzi, S., Ling, J., Arunajatesan, S., & Arunajatesan, S. (2017). K-ε Turbulence Model Parameter Estimates Using an Approximate Self-similar Jet-in-Crossflow Solution. https://doi.org/10.2514/6.2017-4167 Publication ID: 57937
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2017). Robust Bayesian calibration of a RANS model for jet-in-crossflow simulations [Conference Poster]. https://doi.org/10.2514/6.2017-4166 Publication ID: 56707
Ray, J., Hansen, C., Forrest, R., Young, C.J., & Young, C.J. (2017). Using discrete wavelet transforms to discriminate between noise and phases in seismic waveforms [Conference Poster]. https://www.osti.gov/biblio/1456582 Publication ID: 55863
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2017). Robust Bayesian Calibration of a RANS Model for Jet-in-Crossflow Simulations [Conference Poster]. https://doi.org/10.2514/6.2017-4166 Publication ID: 56033
Ray, J., Lefantzi, S., & Lefantzi, S. (2017). Conditioning multi-model ensembles for disease forecasting [Presentation]. https://www.osti.gov/biblio/1455347 Publication ID: 54827
Ray, J., Lefantzi, S., & Lefantzi, S. (2017). Conditioning multi-model ensembles for disease forecasting (poster) [Presentation]. https://www.osti.gov/biblio/1458323 Publication ID: 54848
Ray, J., Lefantzi, S., Dechant, L., Arunajatesan, S., & Arunajatesan, S. (2017). Estimating and verifying k-ε model coefficients for jet-in-crossflow simulations [Conference Poster]. https://www.osti.gov/biblio/1427154 Publication ID: 55027
Ray, J., Swiler, L., Bao, J., Hou, Z., Huang, M., & Huang, M. (2016). Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model [Conference Poster]. https://www.osti.gov/biblio/1524688 Publication ID: 48134
Lefantzi, S., Brogan, R., Forrest, R., Hansen, C., Ray, J., Young, C.J., & Young, C.J. (2016). Detecting seismic waves using binary classification and hidden Markov models [Conference Poster]. https://www.osti.gov/biblio/1414651 Publication ID: 48274
Meagher, R., Ball, C., Priye, A., Renzi, R., Light, Y., Negrete, O., Bird, S.W., Ray, J., Coffey, L., Steiner, C., Wheeler, S., & Wheeler, S. (2016). An Integrated Microfluidic System Enabling Real-Time Autonomous Field Surveillance for Vector-Borne Pathogens [Conference Poster]. https://www.osti.gov/biblio/1410769 Publication ID: 47953
Bauer, J., Ray, J., Khalil, M., & Khalil, M. (2016). SUMMIT Wildfire App: A SUMMIT application leveraging new R&D capabilities [Presentation]. https://www.osti.gov/biblio/1428157 Publication ID: 47987
Dechant, L., Ray, J., Lefantzi, S., Ling, J., Arunajatesan, S., & Arunajatesan, S. (2016). K-ε Turbulence Model Parameter Estimates Using an Approximate Self-similar Jet-in-Crossflow Solution [Conference Poster]. https://www.osti.gov/biblio/1415716 Publication ID: 47760
Yadav, V., Michalak, A.M., Ray, J., Shiga, Y.P., & Shiga, Y.P. (2016). A statistical approach for isolating fossil fuel emissions in atmospheric inverse problems. Journal of Geophysical Research, 121(20), pp. 12,490-12,504. https://doi.org/10.1002/2016JD025642 Publication ID: 37989
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2016). Robust Bayesian Calibration of a RANS Model for Jet-in-Crossflow Simulations [Conference Poster]. https://doi.org/10.2514/6.2017-4166 Publication ID: 47542
Ball, C., Priye, A., Renzi, R., Helm, J., Claudnic, M., Mueller, S., Ray, J., Barker, C., Wheeler, S., Steiner, C., Coffey, L., Meagher, R., & Meagher, R. (2016). Real-time autonomous surveillance for vector-borne pathogens [Conference Poster]. https://www.osti.gov/biblio/1399658 Publication ID: 47083
Ray, J., Lefantzi, S., Bauer, J., Khalil, M., Rothfuss, A., Cauthen, K., Finley, P., Smith, H., & Smith, H. (2016). Online mapping and forecasting of epidemics using open-source indicators. https://doi.org/10.2172/1562406 Publication ID: 52362
Ball, C., Meagher, R., Priye, A., Renzi, R., Mueller, S., Helm, J., Ray, J., Barker, C., Wheeler, S., Reisen, W., Coffey, L., & Coffey, L. (2016). Smart Trap Real-time autonomous biosurveillance for mosquito-borne pathogens [Presentation]. https://www.osti.gov/biblio/1529853 Publication ID: 51613
Cauthen, K., Lambert, G., Ray, J., Lefantzi, S., & Lefantzi, S. (2016). Imputing data that are missing at high rates using a boosting algorithm [Conference Poster]. https://www.osti.gov/biblio/1373460 Publication ID: 51385
Meagher, R., Ray, J., Renzi, R., Ball, C., Priye, A., Mueller, S., Steiner, C., Wheeler, S., Coffey, L., Barker, C., & Barker, C. (2016). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) [Conference Poster]. https://www.osti.gov/biblio/1366891 Publication ID: 50751
Strazdins, P., Harding, B., Lee, B., Mayo, J., Ray, J., Armstrong, R., & Armstrong, R. (2016). Robust finite difference stencils for solving the advection equation [Conference Poster]. https://www.osti.gov/biblio/1368998 Publication ID: 50511
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2016). Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations. AIAA Journal, 54(8), pp. 2432-2448. https://doi.org/10.2514/1.J054758 Publication ID: 46918
Cauthen, K., Lambert, G., Ray, J., Lefantzi, S., & Lefantzi, S. (2016). Imputing data that are missing at high rates using a boosting algorithm [Conference Poster]. https://www.osti.gov/biblio/1422069 Publication ID: 49956
Lefantzi, S., Ray, J., Arunajatesan, S., Dechant, L., & Dechant, L. (2016). Using LASSO to infer a high-order eddy viscosity model for k-epsilon RANS simulation of transonic flows [Conference Poster]. https://www.osti.gov/biblio/1422091 Publication ID: 50020
Ray, J., Swiler, L., Huang, M., Hou, Z., & Hou, Z. (2016). A parallel Markov chain Monte Carlo method for calibrating computationally expensive models [Conference Poster]. https://www.osti.gov/biblio/1422090 Publication ID: 50021
Huang, M., Hou, Z., Ray, J., Swiler, L., Leung, L., & Leung, L. (2016). An Uncertainty Quantification Framework for Land Models [Conference Poster]. https://www.osti.gov/biblio/1364682 Publication ID: 50071
Swiler, L., Ray, J., & Ray, J. (2016). A Parallel MCMC Method [Conference Poster]. https://www.osti.gov/biblio/1364726 Publication ID: 50134
Lefantzi, S., Ray, J., Arunajatesan, S., Dechant, L., & Dechant, L. (2016). Estimation and rectification of model-form errors in transonic Reynolds-Averaged Navier Stokes simulations [Conference Poster]. https://www.osti.gov/biblio/1368774 Publication ID: 50155
Meagher, R., Priye, A., Ball, C., Renzi, R., Mueller, S., Ray, J., Helm, J., Barker, C., Wheeler, S., Reisen, W., Coffey, L., & Coffey, L. (2016). Real-Time Autonomous Biosurveillance For Vectorborne Pathogens (Smart Traps) [Presentation]. https://www.osti.gov/biblio/1346114 Publication ID: 48664
Meagher, R., Ray, J., Mueller, S., Ball, C., Priye, A., Renzi, R., Coffey, L., Barker, C., Wheeler, S., Reisen, W., & Reisen, W. (2016). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) [Presentation]. https://www.osti.gov/biblio/1346115 Publication ID: 48665
Ray, J., Swiler, L., Pau, G., Bisht, G., Hoffman, F., Huang, M., Hou, Z., Chen, X., & Chen, X. (2016). Improving predictive capability of land surface models through robust statistical calibration techniques [Conference Poster]. https://www.osti.gov/biblio/1342355 Publication ID: 46878
Ray, J. (2016). Using open-source indicators to forecast outbreaks [Presentation]. https://www.osti.gov/biblio/1514304 Publication ID: 46652
Strazdins, P., Harding, B., Lee, C., Mayo, J., Ray, J., Armstrong, R., & Armstrong, R. (2016). A robust technique to make a 2D advection solver tolerant to soft faults [Conference Poster]. Procedia Computer Science. https://doi.org/10.1016/j.procs.2016.05.505 Publication ID: 49288
Bao, J., Ren, H., Huang, M., Ray, J., Swiler, L., & Swiler, L. (2015). A Scalable Multi-chain Markov Chain Monte Carlo Method for Inverting Subsurface Hydraulic and Geological Properties [Conference Poster]. https://www.osti.gov/biblio/1339205 Publication ID: 42000
Ray, J., Swiler, L., Huang, M., Hou, Z., & Hou, Z. (2015). Bayesian calibration of the Community Land Model using a multi-chain Markov chain Monte Carlo method [Conference Poster]. https://www.osti.gov/biblio/1530497 Publication ID: 41937
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2015). Learning an Eddy Viscosity Model with Shrinkage? A Case Study with Jet-in-Crossflow Configuration [Conference Poster]. https://www.osti.gov/biblio/1331918 Publication ID: 46519
Ray, J., Lefantzi, S., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2015). Bayesian inference of the permeability field of a binary medium [Presentation]. https://www.osti.gov/biblio/1333266 Publication ID: 46102
Ray, J. (2015). Statistical inverse problems involving computationally expensive models [Presentation]. https://www.osti.gov/biblio/1328210 Publication ID: 44682
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2015). Bayesian calibration of a RANS model with a complex response surface ? A case study with jet-in-crossflow configuration [Conference Poster]. https://www.osti.gov/biblio/1256028 Publication ID: 43778
Carlberg, K.T., Ray, J., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2015). Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting. Computer Methods in Applied Mechanics and Engineering, 289, pp. 79-103. https://doi.org/10.1016/j.cma.2015.02.013 Publication ID: 39210
Meagher, R., Ray, J., Renzi, R., Ball, C., Mueller, S., Light, Y., Langevin, S., Wheeler, S., Coffey, L., Barker, C., Reisen, W., & Reisen, W. (2015). Real-Time Autonomous Biosurveillance for Vector-Borne Viral Pathogens [Conference Poster]. https://www.osti.gov/biblio/1252909 Publication ID: 43334
Lambert, G., Ray, J., Lefantzi, S., Finley, P., Smith, H., & Smith, H. (2015). Forecasting Dengue Incidence from Social Media using Meteorological Covariates [Conference Poster]. https://www.osti.gov/biblio/1253080 Publication ID: 43392
Meagher, R., Ray, J., Renzi, R., Langevin, S., Reisen, W., Coffey, L., Barker, C., & Barker, C. (2015). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens [Presentation]. https://www.osti.gov/biblio/1255763 Publication ID: 43669
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2015). Bayesian calibration of a RANS model with a complex response surface – A case study with jet-in-crossflow configuration [Conference Poster]. https://doi.org/10.2514/6.2015-2784 Publication ID: 43494
Lefantzi, S., Ray, J., Lambert, G., Finley, P., Smith, H., & Smith, H. (2015). Forecasting influenza activity using meteorological and Google Flu Trends data [Conference Poster]. https://www.osti.gov/biblio/1251370 Publication ID: 43273
Ray, J., Brownstein, J., & Brownstein, J. (2015). Nowcasting influenza activity using Healthmap data [Conference Poster]. https://www.osti.gov/biblio/1251371 Publication ID: 43274
Edwards, D., Yang, L., Ray, J., Mueller, S., & Mueller, S. (2015). TPAT Poster for DTRA Conference [Conference Poster]. https://www.osti.gov/biblio/1248711 Publication ID: 43020
Ray, J. (2015). Bayesian inference of parameters of computationally expensive models [Presentation]. https://www.osti.gov/biblio/1248833 Publication ID: 43044
Ray, J., Swiler, L., Huang, M., hou, J., & hou, J. (2015). Use of Parallel MCMC Methods with the Community Land Model [Conference Poster]. https://www.osti.gov/biblio/1246298 Publication ID: 42504
Hou, Z., Huang, M., Ray, J., Swiler, L., & Swiler, L. (2015). Quantification of structural uncertainty in a land surface model [Conference Poster]. https://www.osti.gov/biblio/1331643 Publication ID: 42564
Ray, J., Swiler, L., Huang, M., Zhangshuan, H., & Zhangshuan, H. (2015). Estimating a model discrepancy term for the Community Land Model using latent heat and runoff observations [Conference Poster]. https://www.osti.gov/biblio/1240842 Publication ID: 42326
Lefantzi, S., Ray, J., Arunajatesan, S., Dechant, L., & Dechant, L. (2015). Eddy viscosity model selection for transonic turbulent flows using shrinkage regression [Conference Poster]. https://www.osti.gov/biblio/1246274 Publication ID: 42473
Meagher, R., Renzi, R., Ball, C., Ray, J., Mueller, S., Coffey, L., Reisen, W., Barker, C., Wheeler, S., & Wheeler, S. (2015). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) [Presentation]. https://www.osti.gov/biblio/1240327 Publication ID: 42282
Hou, Z., Ray, J., Huang, M., Swiler, L., & Swiler, L. (2015). Applicability of surrogate-based MCMC-Bayesian inversion of CLM at flux tower sites with various field conditions [Conference Poster]. https://www.osti.gov/biblio/1504327 Publication ID: 41465
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2015). Bayesian calibration of k-e parameters for predictive jet-in-crossflow simulations [Presentation]. https://www.osti.gov/biblio/1244938 Publication ID: 41331
Ray, J., Hou, Z., Huang, M., Swiler, L., & Swiler, L. (2014). Using runoff data to calibrate the Community Land Model [Conference Poster]. https://www.osti.gov/biblio/1319743 Publication ID: 39826
Lefantzi, S., Ray, J., Arunajatesan, S., Dechant, L., & Dechant, L. (2014). Estimation of k-ε parameters using surrogate models and jet-in-crossflow data. https://doi.org/10.2172/1170402 Publication ID: 41466
Drohmann, M., Tuminaro, R., Boggs, P., Ray, J., van Bloemen Waanders, B., Carlberg, K.T., & Carlberg, K.T. (2014). Breaking Computational Barriers: Real-time Analysis and Optimization with Large-scale Nonlinear Models via Model Reduction. https://doi.org/10.2172/1323654 Publication ID: 39353
Kedia, K.S., Safta, C., Ray, J., Najm, H.N., Ghoniem, A.F., & Ghoniem, A.F. (2014). A second-order coupled immersed boundary-SAMR construction for chemically reacting flow over a heat-conducting Cartesian grid-conforming solid. Journal of Computational Physics, 272, pp. 408-428. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84899832184&origin=inward Publication ID: 34917
Lefantzi, S., Ray, J., Lambert, G., Finley, P., Smith, H., & Smith, H. (2014). Disease forecasting using open-source indicators [Conference]. https://www.osti.gov/biblio/1146950 Publication ID: 41035
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2014). Tuning a RANS k-e model for jet-in-crossflow simulations [Conference]. https://www.osti.gov/biblio/1146753 Publication ID: 41091
Ray, J., Arunajatesan, S., Dechant, L., & Dechant, L. (2014). Bayesian calibration of a k-e turbulence model for predictive jet-in-crossflow simulations [Conference]. https://www.osti.gov/biblio/1142674 Publication ID: 40470
Yang, L., Ray, J., Mueller, S., & Mueller, S. (2014). Threat Probability to Action Tool TaCBRD Tech Demo #3 Orientation Slides [Presentation]. https://www.osti.gov/biblio/1694439 Publication ID: 40274
Ray, J., Swiler, L., & Swiler, L. (2014). Entropy-Bayesian Inversion of Hydrological Parameters in the Community Land Model Using Heat Flux and Runoff Data [Conference]. https://www.osti.gov/biblio/1141487 Publication ID: 40224
Ray, J., Pinar, A., Comandur, S., & Comandur, S. (2014). A stopping criterion for Markov chains when generating independent random graphs. Journal of Complex Networks. https://www.osti.gov/biblio/1140957 Publication ID: 38317
Lefantzi, S., Ray, J., Arunajatesan, S., Dechant, L., & Dechant, L. (2014). Tuning a RANS k-e model for jet-in-crossflow simulations [Conference]. https://www.osti.gov/biblio/1141537 Publication ID: 40147
Ray, J., Swiler, L., & Swiler, L. (2014). Estimation of Structural Error in the Community Land Model Using Latent Heat Observations [Conference]. https://www.osti.gov/biblio/1141762 Publication ID: 40149
Ray, J., Mayo, J., Armstrong, R., & Armstrong, R. (2014). Finite Difference Stencils Robust to Silent Data Corruption [Conference]. https://www.osti.gov/biblio/1140700 Publication ID: 37249
Ray, J., Swiler, L., Sargsyan, K., & Sargsyan, K. (2014). BAYESIAN CALIBRATION OF THE COMMUNITY LAND MODEL USING SURROGATES. SIAM Journal of Uncertainty Quantification. https://www.osti.gov/biblio/1141039 Publication ID: 37288
Swiler, L., Ray, J., Sargsyan, K., & Sargsyan, K. (2014). Bayesian calibration of hydrological parameters in the Community Land Model (CODA Presentation) [Conference]. https://www.osti.gov/biblio/1140888 Publication ID: 37304
Ray, J., Swiler, L., & Swiler, L. (2014). Bayesian calibration of the Community Land Model using surrogates. https://doi.org/10.2172/1204075 Publication ID: 37070
Anderson, H., Ray, J., Helms, J., & Helms, J. (2014). Compressed Sensing: Hope or Hype? [Presentation]. https://www.osti.gov/biblio/1684761 Publication ID: 36935
Ray, J., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2013). A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions. Atmospheric Chemistry and Physics. https://www.osti.gov/biblio/1114616 Publication ID: 36134
Ray, J., Lefantzi, S., Arunajatesan, S., Dechant, L., & Dechant, L. (2013). Bayesian calibration of a ??e turbulence model for predictive jet-in-crossflow simulations [Conference]. https://www.osti.gov/biblio/1115119 Publication ID: 36219
Ray, J., Arunajatesan, S., Dechant, L., & Dechant, L. (2013). Tuning a RANS k-e model for jet-in-crossflow simulations. https://doi.org/10.2172/1096265 Publication ID: 35888
Ray, J., Lee, J., Lefantzi, S., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2013). Kalman-filtered compressive sensing for high resolution estimation of anthropogenic greenhouse gas emissions from sparse measurements. https://doi.org/10.2172/1096253 Publication ID: 35730
Ray, J., Lee, J., Lefantzi, S., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2013). A multiresolution spatial parametrization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions. https://doi.org/10.2172/1095955 Publication ID: 32956
Lee, J., Lefantzi, S., Ray, J., & Ray, J. (2013). Coherence metric for optimal compressive sensing [Conference]. https://www.osti.gov/biblio/1064080 Publication ID: 32272
Ray, J. (2013). Nowcasting influenza outbreaks using open-source media report. https://doi.org/10.2172/1093696 Publication ID: 31649
Ray, J. (2012). Assimilating HealthMap Data to Nowcast Epidemics [Presentation]. https://www.osti.gov/biblio/1648437 Publication ID: 30986
Ray, J., Sargsyan, K., & Sargsyan, K. (2012). Bayesian calibration of the Community Land Model using surrogates [Conference]. https://www.osti.gov/biblio/1063367 Publication ID: 26321
Ray, J., Comandur, S., & Comandur, S. (2012). A stopping criterion for Markov chains when generating independent random graphs [Presentation]. https://www.osti.gov/biblio/1658282 Publication ID: 30901
Ray, J., Najm, H.N., & Najm, H.N. (2012). An approach for estimating the uncertainty in ParaDiS predictions. https://doi.org/10.2172/1055898 Publication ID: 30415
Ray, J., van Bloemen Waanders, B., Mckenna, S., & Mckenna, S. (2012). Solving inverse problems with quantified uncertainty [Presentation]. https://www.osti.gov/biblio/1647768 Publication ID: 30083
van Bloemen Waanders, B., Ray, J., & Ray, J. (2012). Decreasing the temporal complexity for. Proposed for publication in Computer methods in applied mechanics and engineering.. https://www.osti.gov/biblio/1073321 Publication ID: 29784
Ray, J., van Bloemen Waanders, B., Mckenna, S., & Mckenna, S. (2012). Estimation of Anthropogenic CO2 Emissions from Sparse Measurements [Presentation]. https://www.osti.gov/biblio/1647765 Publication ID: 29657
Ray, J., Pinar, A., Comandur, S., & Comandur, S. (2012). Are we there yet? When to stop a Markov chain while generating random graphs [Conference]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84864182423&origin=inward Publication ID: 32307
Ray, J., Safta, C., & Safta, C. (2012). Spatial and temporal data fusion for biosurveillance [Conference]. https://www.osti.gov/biblio/1140740 Publication ID: 29109
Ray, J., Safta, C., & Safta, C. (2012). Structural Models Used In Real-time Biosurveillance Outbreak Detection and Outbreak Curve Isolation from Noisy Background Morbidity Levels. Proposed for publication in Journal of the American Medical Informatics Association.. https://www.osti.gov/biblio/1067518 Publication ID: 28434
Ray, J., Lefantzi, S., Mckenna, S., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2012). Bayesian estimation of multiscale structures in a binary medium from sparse observations [Conference]. https://www.osti.gov/biblio/1067814 Publication ID: 28350
Ray, J., van Bloemen Waanders, B., Mckenna, S., & Mckenna, S. (2012). Estimation of multiscale fields representing anthropogenic CO2 emissions from sparse observations [Conference]. https://www.osti.gov/biblio/1117565 Publication ID: 27414
Ray, J., Pinar, A., Comandur, S., & Comandur, S. (2012). Estimating a thinning ratio for a Markov chain of graphs [Conference]. https://www.osti.gov/biblio/1068331 Publication ID: 26946
Ray, J., Pinar, A., Comandur, S., & Comandur, S. (2012). Generating independent graphs with prescribed joint degree distribution using a Markov chain sampler [Conference]. https://www.osti.gov/biblio/1069055 Publication ID: 26676
Ray, J., Lefantzi, S., Mckenna, S., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2012). BAYESIAN ESTIMATION OF MULTISCALE STRUCTURES IN A BINARY MEDIUM FROM SPARSE OBSERVATIONS [Conference]. https://www.osti.gov/biblio/1145349 Publication ID: 26737
Mckenna, S., Ray, J., & Ray, J. (2011). Low dimensional models for the estimation of anthropogenic CO2 from atmospheric observations [Presentation]. https://www.osti.gov/biblio/1661569 Publication ID: 25705
Sargsyan, K., Safta, C., Berry, R.D., Ray, J., Debusschere, B., Najm, H.N., & Najm, H.N. (2011). Efficient uncertainty quantification methodologies for high-dimensional climate land models. https://doi.org/10.2172/1113860 Publication ID: 25433
Ray, J. (2011). A comparison of single and multi-chain methods for estimating parameters of the Community Land Model [Conference]. https://www.osti.gov/biblio/1288557 Publication ID: 25514
Lefantzi, S., Mckenna, S., Ray, J., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2011). Bayesian inference of multiscale structures in porous media [Conference]. https://www.osti.gov/biblio/1143904 Publication ID: 25515
Ray, J., Safta, C., Lefantzi, S., & Lefantzi, S. (2011). Application of surrogate models to enable real-time characterization of epidemics [Conference]. https://www.osti.gov/biblio/1287390 Publication ID: 25262
Lefantzi, S., Klise, K., Salazar, L., Mckenna, S., van Bloemen Waanders, B., Ray, J., & Ray, J. (2011). Bayesian data assimilation for stochastic multiscale models of transport in porous media. https://doi.org/10.2172/1030232 Publication ID: 24486
Safta, C., Ray, J., Sargsyan, K., Lefantzi, S., & Lefantzi, S. (2011). Real-time Characterization of Partially Observed Epidemics using Surrogate Models. Mathematical Biosciences. https://www.osti.gov/biblio/1106850 Publication ID: 24392
Ray, J. (2011). Deriving a model for influenza epidemics from historical data. https://doi.org/10.2172/1030332 Publication ID: 24402
Ray, J., van Bloemen Waanders, B., Lefantzi, S., & Lefantzi, S. (2011). Estimation of finescale conductivity fields from multiscale observations [Conference]. https://www.osti.gov/biblio/1288661 Publication ID: 24448
Safta, C., Ray, J., Sargsyan, K., Lefantzi, S., & Lefantzi, S. (2011). Real-time characterization of partially observed epidemics using surrogate models. https://doi.org/10.2172/1030325 Publication ID: 24467
Mckenna, S., van Bloemen Waanders, B., Ray, J., & Ray, J. (2011). Bayesian upscaling of binary media with unresolved fine-scale spatial structures. Advances in Water Resources. https://www.osti.gov/biblio/1106333 Publication ID: 23989
Safta, C., Najm, H.N., Ray, J., & Ray, J. (2011). A high-order AMR algorithm for chemically reacting flows [Conference]. https://www.osti.gov/biblio/1106845 Publication ID: 23787
Ray, J., Safta, C., & Safta, C. (2011). Dynamic Casualty Estimation from Biosurveillance Data [Conference]. https://www.osti.gov/biblio/1107713 Publication ID: 23072
Mckenna, S., Ray, J., Marzouk, Y., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2011). Truncated multiGaussian fields and effective conductance of binary media. Advances in Water Resources. https://doi.org/10.2172/1011620 Publication ID: 21165
Najm, H.N., Safta, C., Ray, J., & Ray, J. (2011). High-order AMR computations of chemically reacting flows [Conference]. https://www.osti.gov/biblio/1140978 Publication ID: 22584
Mckenna, S., Ray, J., Constantine, P., & Constantine, P. (2011). CO2 Inversion using Ensemble Kalman Filtersand Reduced Order Models [Conference]. https://www.osti.gov/biblio/1108814 Publication ID: 22017
Safta, C., Najm, H.N., Ray, J., & Ray, J. (2011). High-order AMR computations of chemically reacting flows [Conference]. https://www.osti.gov/biblio/1108817 Publication ID: 22018
Ray, J., van Bloemen Waanders, B., Mckenna, S., & Mckenna, S. (2011). Multiscale spatial models for representing anthropogenic CO2 emissions [Conference]. https://www.osti.gov/biblio/1120629 Publication ID: 21988
Safta, C., Ray, J., Najm, H.N., & Najm, H.N. (2011). A High-Order AMR Algorithm for Chemically Reacting Flows [Conference]. https://www.osti.gov/biblio/1110534 Publication ID: 21349
Safta, C., Ray, J., Najm, H.N., & Najm, H.N. (2010). High-order AMR computations of chemically reacting flows [Conference]. https://www.osti.gov/biblio/1121096 Publication ID: 21040
Ray, J., van Bloemen Waanders, B., Mckenna, S., & Mckenna, S. (2010). The effect of error models in the multiscale inversion of binary permeability fields [Conference]. https://www.osti.gov/biblio/1038997 Publication ID: 21068
Mckenna, S., Ray, J., van Bloemen Waanders, B., & van Bloemen Waanders, B. (2010). Posterior predictive modeling using multi-scale stochastic inverse parameter estimates [Conference]. https://www.osti.gov/biblio/1038166 Publication ID: 21106
Ray, J., Safta, C., & Safta, C. (2010). Statistical techniques for the characterization of partially observed epidemics [Conference]. https://www.osti.gov/biblio/1030252 Publication ID: 20635
Safta, C., Ray, J., & Ray, J. (2010). Characterization of communicable disease epidemics using Bayesian inference [Conference]. https://www.osti.gov/biblio/1035315 Publication ID: 20918
Mckenna, S., Ray, J., & Ray, J. (2010). Computationally efficient inference for multiphase flow using the Ensemble Kalman Filter [Conference]. https://www.osti.gov/biblio/1021649 Publication ID: 19183
Safta, C., Ray, J., & Ray, J. (2010). Bayesian classification of partially observed outbreaks using time-series data [Conference]. https://www.osti.gov/biblio/1019073 Publication ID: 18538
van Bloemen Waanders, B., Mckenna, S., Ray, J., & Ray, J. (2009). multiscale Bayesian inversion of binary permeability fields from static and dynamic observations [Conference]. https://www.osti.gov/biblio/1141480 Publication ID: 17103
Ray, J., Slattengren, N.L., & Slattengren, N.L. (2009). Optimal Allocation of Resources Under Uncertainty Following an Anthrax Attack [Conference]. https://www.osti.gov/biblio/1141996 Publication ID: 16610
Boggs, P., Ray, J., & Ray, J. (2009). Bioattack reconstruction and resource estimation in “reload” scenarios [Conference]. https://www.osti.gov/biblio/952358 Publication ID: 15955
Ray, J., Marzouk, Y., & Marzouk, Y. (2008). A Bayesian method for inferring transmission chains in a partially observed epidemic [Conference]. https://www.osti.gov/biblio/1142595 Publication ID: 15431
Ray, J., Marzouk, Y., & Marzouk, Y. (2008). A Bayesian method for inferring transmission chains in a partially observed epidemic [Conference]. https://www.osti.gov/biblio/950889 Publication ID: 14992
Heath, Z., Shneider, M., Vanderveen, K., Allan, B., Ray, J., & Ray, J. (2008). Parallel computing in enterprise modeling. https://doi.org/10.2172/945906 Publication ID: 14848
Marzouk, Y., Ray, J., & Ray, J. (2008). Bayesian inference of epidemiological characteristics in a partially observed epidemic [Conference]. https://www.osti.gov/biblio/1143089 Publication ID: 14402
Ray, J. (2008). Distributed micro-releases of bioterror pathogens [Presentation]. https://www.osti.gov/biblio/1706429 Publication ID: 14455
Steensland, J., Ray, J., & Ray, J. (2008). Adaptive partitioning in high performance computing for scientific simulations using AMR [Conference]. https://www.osti.gov/biblio/1145510 Publication ID: 13703
Ray, J., Najm, H.N., & Najm, H.N. (2008). performance of high-order projection scheme for AMR computations of chemically reacting flows [Conference]. https://www.osti.gov/biblio/1145732 Publication ID: 13171
Armstrong, R., Ray, J., Heath, Z., Shneider, M., Vanderveen, K., Allan, B., & Allan, B. (2008). Parallel Particle Data Model [Conference]. https://www.osti.gov/biblio/1146008 Publication ID: 12819
Ray, J., Allan, B., Safta, C., Cohen, I., & Cohen, I. (2007). Cogeneration of transportation fuels and water from littoral feedstocks [Presentation]. https://www.osti.gov/biblio/1713161 Publication ID: 12163
Najm, H.N., Ray, J., & Ray, J. (2007). Adaptive Chemistry Computations of Reacting Flow [Conference]. https://www.osti.gov/biblio/1148180 Publication ID: 10373
Najm, H.N., Ray, J., & Ray, J. (2007). Adaptive Chemistry Computations of Reacting Flow [Conference]. https://www.osti.gov/biblio/1148079 Publication ID: 10374
Adams, B., Devine, K., Ray, J., & Ray, J. (2006). Efficient Large-scale Network-based Simulation of Disease Outbreaks [Conference]. https://www.osti.gov/biblio/1264220 Publication ID: 8146
Ray, J. (2006). Computers Computations and Science in Sandia [Presentation]. https://www.osti.gov/biblio/1725744 Publication ID: 7916
Ray, J. (2006). An improved bi-level algorithm for partitioning dynamic grid hierarchies. https://doi.org/10.2172/884741 Publication ID: 7037
Ray, J., Steensland, J., & Steensland, J. (2006). An improved bi-level algorithm for partitioning dynamic structured grid hierarchies [Conference]. https://www.osti.gov/biblio/947255 Publication ID: 6809
Steensland, J., Ray, J., & Ray, J. (2005). Using run-time state to improve scalability of SAMR applications [Conference]. https://www.osti.gov/biblio/988566 Publication ID: 4495

Showing 10 of 197 publications.