Jaideep Ray
Technical Staff
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
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
Kamaljit Chowdhary, Chi Hoang, Jaideep Ray, 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 https://doi.org/10.1016/j.cma.2022.115396 Publication ID: 80049
Katherine Cauthen, Prashant Rai, Nicholas Hale, Laura Freeman, Jaideep Ray, (2022). Detecting technological maturity from bibliometric patterns Expert Systems with Applications https://doi.org/10.1016/j.eswa.2022.117177 Publication ID: 80638
Nathan Miller, Steven Beresh, Jaideep Ray, (2022). Validation of Calibrated k–ε Model Parameters for Jet-in-Crossflow AIAA Journal https://doi.org/10.2514/1.j061396 Publication ID: 80759
Ron Oldfield, Sharlotte Kramer, Ahmad Rushdi, Erin Acquesta, John Emery, Paul Kuberry, Jaideep Ray, Sarah Ackerman, Eric Cyr, Gary Saavedra, Clayton Hughes, Suma Cardwell, John Smith, (2021). The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans https://www.osti.gov/servlets/purl/1895016 Publication ID: 76429
Jaideep Ray, Matthew Barone, Stefan Domino, (2021). Assembling training datasets for generalizable machine-learned turbulence models https://doi.org/10.2172/1894994 Publication ID: 76479
Patrick Blonigan, Jaideep Ray, Cosmin Safta, (2021). Forecasting Multi-Wave Epidemics Through Bayesian Inference Archives of Computational Methods in Engineering https://doi.org/10.1007/s11831-021-09603-9 Publication ID: 78286
Jaideep Ray, Matthew Barone, Stefan Domino, Tania Banerjee, Sanjay Ranka, (2021). Verification of Data-Driven Models of Physical Phenomena using Interpretable Approximation https://doi.org/10.2172/1821318 Publication ID: 75798
Rosalie Multari, Curtis Co, Robert Ferrizz, Lisa Miller, Edward Bujewski, Joseph Howard, Matthew Nelson, Meghan Dailey, Scarlett Marklin, Donald Kalinich, Jaideep Ray, (2021). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data https://www.osti.gov/servlets/purl/1877985 Publication ID: 79412
Rosalie Multari, Curtis Co, Robert Ferrizz, Lisa Miller, Edward Bujewski, Joseph Howard, Matthew Nelson, Meghan Dailey, Scarlett Marklin, Donald Kalinich, Jaideep Ray, (2021). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data https://doi.org/10.2172/1877984 Publication ID: 79413
Jaideep Ray, Matthew Barone, Stefan Domino, (2021). Assembling training datasets for generalizable machine-learned turbulence models https://doi.org/10.2172/1889553 Publication ID: 79238
Kookjin Lee, Jaideep Ray, Cosmin Safta, (2021). The predictive skill of convolutional neural networks models for disease forecasting PLoS ONE https://doi.org/10.1371/journal.pone.0254319 Publication ID: 79098
Brian Robbins, Peter Coffin, Paul Delgado, Justin Smith, Lawrence Dechant, Katya Casper, Jaideep Ray, (2021). Aerospace Vehicle Random Vibration Research at Sandia National Laboratories https://www.osti.gov/servlets/purl/1863198 Publication ID: 78033
Jaideep Ray, (2021). Verification of ML models via interpretable approximations https://www.osti.gov/servlets/purl/1856299 Publication ID: 77700
Svitana Volkova, David Stracuzzi, Jenifer Shafer, Jaideep Ray, Laura Pullum, (2021). Robustness and Validation of Model and Digital Twins Deployment https://doi.org/10.2172/1770631 Publication ID: 77106
Jaideep Ray, Patrick Blonigan, Cosmin Safta, Khachik Sargsyan, (2021). Characterization of Partially Observed Epidemics Through Bayesian Inference – Application to COVID-19 Forecasts https://doi.org/10.2172/1842250 Publication ID: 75113
Jaideep Ray, Matthew Barone, Stefan Domino, (2021). Assembling training datsets for generalizable machine-learned models of physical phenomena https://doi.org/10.2172/1842253 Publication ID: 75116
Cosmin Safta, Patrick Blonigan, Jaideep Ray, (2021). Forecasting multi-wave epidemics through Bayesian Inference – Application to COVID-19 https://www.osti.gov/servlets/purl/1843323 Publication ID: 75185
Cosmin Safta, Jaideep Ray, Khachik Sargsyan, (2020). Characterization of partially observed epidemics through Bayesian inference: application to COVID-19 Computational Mechanics https://doi.org/10.1007/s00466-020-01897-z Publication ID: 74505
Cosmin Safta, Jaideep Ray, (2020). COVID-19 Forecasting via COMBO https://www.osti.gov/servlets/purl/1807656 Publication ID: 74014
Cosmin Safta, Jaideep Ray, (2020). Characterization of Partially Observed Epidemics – Application to COVID-19 Forecasts https://www.osti.gov/servlets/purl/1811796 Publication ID: 74271
Rosalie Multari, Curtis Co, Paul Cummings, Robert Ferrizz, S. Martin, Lisa Miller, Nishant Patel, Lisa Walla, Jaideep Ray, (2020). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data https://www.osti.gov/servlets/purl/1811805 Publication ID: 74281
Katherine Cauthen, Prashant Rai, Jaideep Ray, (2020). ANN classifier for technological maturity based on bibliometric patterns https://www.osti.gov/servlets/purl/1811984 Publication ID: 74326
Rosalie Multari, Jaideep Ray, Lisa Miller, Robert Ferrizz, Paul Cummings, Curtis Co, Lisa Walla, S. Martin, (2020). Automated algorithms for predicting trends and identifying subpopulations in neutron generator (NG) production data https://www.osti.gov/servlets/purl/1766727 Publication ID: 72591
Jaideep Ray, Christopher Young, Fulton Wang, (2019). Detecting seismic wave arrivals using multi-instance learn https://www.osti.gov/servlets/purl/1643528 Publication ID: 66623
Fulton Wang, Jaideep Ray, Ali Pinar, (2019). Multiple Instance Learning: Application to Seismic Event Detection and Open Problems https://www.osti.gov/servlets/purl/1646086 Publication ID: 65724
Nickolas Winovich, Ahmad Rushdi, Eric Phipps, Jaideep Ray, Guang Lin, Mohamed Ebeida, (2019). Rigorous Data Fusion for Computationally Expensive Simulations https://doi.org/10.2172/1560809 Publication ID: 64705
Nathan Miller, Steven Beresh, Jaideep Ray, (2019). Validation of calibrated k-ε model parameters for jet-in-crossflow https://www.osti.gov/servlets/purl/1640137 Publication ID: 68730
Jaideep Ray, Sarah Kieweg, Derek Dinzl, Brian Carnes, V. Weirs, Brian Freno, Micah Howard, Thomas Smith, (2019). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments AIAA Scitech Forum https://doi.org/10.2514/6.2019-2279 Publication ID: 73466
Jaideep Ray, Katherine Cauthen, Sophia Lefantzi, Lynne Burks, (2019). Conditioning multi-model ensembles for disease forecasting https://doi.org/10.2172/1492995 Publication ID: 64512
Micheal Glass, Paul Crozier, Micah Howard, Sarah Kieweg, Jaideep Ray, (2019). SNL ASC/ATDM FY19 SPARC L2 Milestone Initial Review: Credibility Performance and Scalability https://www.osti.gov/biblio/1643833 Publication ID: 64486
Sarah Kieweg, Jaideep Ray, V. Weirs, Brian Carnes, Derek Dinzl, Brian Freno, Micah Howard, Eric Phipps, William Rider, Thomas Smith, (2019). Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ Sensitivity Analysis and Validation Metrics https://www.osti.gov/servlets/purl/1592001 Publication ID: 64251
Jaideep Ray, L Burks, Christopher Young, (2018). Detecting P-waves in streaming seismic data using a hidden Markov model https://www.osti.gov/servlets/purl/1761105 Publication ID: 60449
Sarah Kieweg, Jaideep Ray, V. Weirs, Brian Carnes, Derek Dinzl, Brian Freno, Micah Howard, Eric Phipps, William Rider, Thomas Smith, Ioannis Nompelis, Graham Candler, (2018). Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification Sensitivity Analysis and Validation Metrics https://doi.org/10.2514/6.2019-2278 Publication ID: 60450
Robert Forrest, Jaideep Ray, Christopher Young, (2018). Detecting Low Magnitude Seismic Events Using Convolutional Neural Networks https://www.osti.gov/servlets/purl/1807058 Publication ID: 60555
Jaideep Ray, Lawrence Dechant, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (2018). Robust Bayesian calibration of a k-ϵ model for compressible jet-in-crossflow simulations AIAA Journal https://doi.org/10.2514/1.J057204 Publication ID: 63213
Jaideep Ray, Sarah Kieweg, Derek Dinzl, Brian Carnes, V. Weirs, Brian Freno, Micah Howard, Thomas Smith, I. Nompelis, G.V. Candler, (2018). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments https://doi.org/10.2514/6.2019-2279 Publication ID: 60655
Patrick Finley, Patrick Finley, Patrick Finley, Patrick Finley, Drew Levin, Drew Levin, Drew Levin, Drew Levin, Tatiana Flanagan, Tatiana Flanagan, Tatiana Flanagan, Tatiana Flanagan, Walter Beyeler, Walter Beyeler, Walter Beyeler, Walter Beyeler, Michael Mitchell, Michael Mitchell, Michael Mitchell, Michael Mitchell, Jaideep Ray, Jaideep Ray, Jaideep Ray, Jaideep Ray, Melanie Moses, Melanie Moses, Melanie Moses, Melanie Moses, Stephanie Forrest, Stephanie Forrest, Stephanie Forrest, Stephanie Forrest, (2018). Biologically inspired approaches for biosurveillance anomaly detection and data fusion https://doi.org/10.2172/1489542 Publication ID: 60662
Jaideep Ray, Sarah Kieweg, Derek Dinzl, Brian Carnes, V. Weirs, Brian Freno, Micah Howard, Thomas Smith, Ioannis Nompelis, G.V Candler, (2018). Estimation of inflow uncertainties in laminar hypersonic double-cone experiments https://doi.org/10.2514/6.2019-2279 Publication ID: 60318
Mohamed Ebeida, Laura Swiler, Eric Phipps, Jaideep Ray, (2018). Solving classification problems using implicit Voronoi cells and local hyperplane sampling https://www.osti.gov/servlets/purl/1524960 Publication ID: 62390
V. Weirs, Brian Carnes, Derek Dinzl, Micah Howard, Sarah Kieweg, Jaideep Ray, William Rider, Thomas Smith, (2018). A Validation Study for a Hypersonic Flow Model https://www.osti.gov/servlets/purl/1515624 Publication ID: 62144
Jaideep Ray, (2018). Efficient source reconstruction using neutron data https://www.osti.gov/servlets/purl/1507483 Publication ID: 61467
Jaideep Ray, Lynne Burks, Katherine Cauthen, (2018). Conditioning Multi-model Ensembles for Disease Forecasting https://www.osti.gov/servlets/purl/1575176 Publication ID: 61589
Donna Edwards, Jaideep Ray, Mark Tucker, Jonathan Whetzel, Katherine Cauthen, (2018). Final Documentation: Incident Management And Probabilities Courses of action Tool (IMPACT) https://doi.org/10.2172/1430792 Publication ID: 61305
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (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 https://doi.org/10.1115/1.4037557 Publication ID: 55221
Jaideep Ray, Lynne Burks, Katherine Cauthen, Sophia Lefantzi, (2018). Conditioning multi-model ensembles for disease forecasting https://www.osti.gov/servlets/purl/1514818 Publication ID: 60181
Jaideep Ray, Lynne Burks, Katherine Cauthen, Sophia Lefantzi, (2018). Conditioning multi-model ensembles for disease forecasting https://www.osti.gov/servlets/purl/1514819 Publication ID: 60187
Michael Brzustowicz, Jaideep Ray, (2018). Tensor Decomposition of Airborne Telemetry Data https://www.osti.gov/servlets/purl/1498437 Publication ID: 60892
Thomas Reichardt, Jeffery Greathouse, Jaideep Ray, Julia Craven, Samuel Eaton, Patrick Brady, Thomas Kulp, (2018). Developing the Color Key for “Hyperspectral Google Earth” https://www.osti.gov/servlets/purl/1806474 Publication ID: 58741
Eric Phipps, Daniel Turner, Kathryn Maupin, Jaideep Ray, Denis Ridzal, (2018). SNL ATDM Math Libraries ? Data Propagation Components https://www.osti.gov/servlets/purl/1806499 Publication ID: 58775
Huiying Ren, Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Jie Bao, Laura Swiler, (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 https://doi.org/10.1016/j.jappgeo.2017.10.004 Publication ID: 53853
Lynne Burks, Robert Forrest, Jaideep Ray, Ronald Brogan, (2017). Detecting Seismic Events Using a Supervised Hidden Markov Model (HMM) https://www.osti.gov/servlets/purl/1487011 Publication ID: 54643
Robert Forrest, Jaideep Ray, Clifford Hansen, Christopher Young, Lynne Burks, (2017). Using discrete wavelet transform features to discriminate between noise and phases in seismic waveforms https://www.osti.gov/servlets/purl/1488333 Publication ID: 54680
Jaideep Ray, M Huang, H. Ren, J. Bao, Z. Hou, Laura Swiler, (2017). Multi-chain Markov chain Monte Carlo methods for computationally expensive models https://www.osti.gov/servlets/purl/1488741 Publication ID: 54732
Jaideep Ray, Sophia Lefantzi, Katherine Cauthen, (2017). Gap-filling disease activity data https://www.osti.gov/servlets/purl/1510918 Publication ID: 54102
Katherine Cauthen, Jaideep Ray, Sophia Lefantzi, Lynne Burks, Jina Lee, (2017). Dynamic Model Averaging for Disease Forecasting https://www.osti.gov/servlets/purl/1509801 Publication ID: 53402
Jaideep Ray, Maoyi Huang, (2017). Scalable Adaptive CHain Ensemble Sampling (SACHES) https://www.osti.gov/servlets/purl/1470946 Publication ID: 58454
Laura Swiler, Jaideep Ray, Laura Swiler, Mohamed Ebeida, Maoyi Huang, Zhangshuan Hou, Jie Bao, huiying Ren, (2017). SAChES: Scalable Adaptive Chain-Ensemble Sampling https://doi.org/10.2172/1380101 Publication ID: 58308
Diego Gomez, Joseph Kenny, Jaideep Ray, (2017). Classifying Seismic Events for Monitoring https://www.osti.gov/servlets/purl/1508480 Publication ID: 57557
Lawrence Dechant, Jaideep Ray, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (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
Lawrence Dechant, Jaideep Ray, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (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
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2017). Robust Bayesian calibration of a RANS model for jet-in-crossflow simulations https://doi.org/10.2514/6.2017-4166 Publication ID: 56707
Jaideep Ray, Clifford Hansen, Robert Forrest, Christopher Young, (2017). Using discrete wavelet transforms to discriminate between noise and phases in seismic waveforms https://www.osti.gov/servlets/purl/1456582 Publication ID: 55863
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2017). Robust Bayesian Calibration of a RANS Model for Jet-in-Crossflow Simulations https://doi.org/10.2514/6.2017-4166 Publication ID: 56033
Jaideep Ray, Sophia Lefantzi, (2017). Conditioning multi-model ensembles for disease forecasting https://www.osti.gov/servlets/purl/1455347 Publication ID: 54827
Jaideep Ray, Sophia Lefantzi, (2017). Conditioning multi-model ensembles for disease forecasting (poster) https://www.osti.gov/servlets/purl/1458323 Publication ID: 54848
Jaideep Ray, Sophia Lefantzi, Lawrence Dechant, Srinivasan Arunajatesan, (2017). Estimating and verifying k-ε model coefficients for jet-in-crossflow simulations https://www.osti.gov/servlets/purl/1427154 Publication ID: 55027
Jaideep Ray, Laura Swiler, Jie Bao, Zhangshuan Hou, Maoyi Huang, (2016). Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model https://www.osti.gov/servlets/purl/1524688 Publication ID: 48134
Sophia Lefantzi, Ronald Brogan, Robert Forrest, Clifford Hansen, Jaideep Ray, Christopher Young, (2016). Detecting seismic waves using binary classification and hidden Markov models https://www.osti.gov/servlets/purl/1414651 Publication ID: 48274
Robert Meagher, Cameron Ball, Aashish Priye, Ronald Renzi, Yooli Light, Oscar Negrete, Sara Bird, Jaideep Ray, Lark Coffey, Cody Steiner, Sara Wheeler, (2016). An Integrated Microfluidic System Enabling Real-Time Autonomous Field Surveillance for Vector-Borne Pathogens https://www.osti.gov/servlets/purl/1410769 Publication ID: 47953
Joshua Bauer, Jaideep Ray, Mohammad Khalil, (2016). SUMMIT Wildfire App: A SUMMIT application leveraging new R&D capabilities https://www.osti.gov/servlets/purl/1428157 Publication ID: 47987
Lawrence Dechant, Jaideep Ray, Sophia Lefantzi, Julia Ling, Srinivasan Arunajatesan, (2016). K-ε Turbulence Model Parameter Estimates Using an Approximate Self-similar Jet-in-Crossflow Solution https://www.osti.gov/servlets/purl/1415716 Publication ID: 47760
Vineet Yadav, Anna Michalak, Jaideep Ray, Yoichi Shiga, (2016). A statistical approach for isolating fossil fuel emissions in atmospheric inverse problems Journal of Geophysical Research https://doi.org/10.1002/2016JD025642 Publication ID: 37989
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Robust Bayesian Calibration of a RANS Model for Jet-in-Crossflow Simulations https://doi.org/10.2514/6.2017-4166 Publication ID: 47542
Cameron Ball, Aashish Priye, Ronald Renzi, Jonathan Helm, Mark Claudnic, Stephen Mueller, Jaideep Ray, Chris Barker, Sarah Wheeler, Cody Steiner, Lark Coffey, Robert Meagher, (2016). Real-time autonomous surveillance for vector-borne pathogens https://www.osti.gov/servlets/purl/1399658 Publication ID: 47083
Jaideep Ray, Sophia Lefantzi, Joshua Bauer, Mohammad Khalil, Andrew Rothfuss, Katherine Cauthen, Patrick Finley, Halley Smith, (2016). Online mapping and forecasting of epidemics using open-source indicators https://doi.org/10.2172/1562406 Publication ID: 52362
Cameron Ball, Robert Meagher, Aashish Priye, Ronald Renzi, Stephen Mueller, Jonathan Helm, Jaideep Ray, Chris Barker, Sarah Wheeler, William Reisen, Lark Coffey, (2016). Smart Trap Real-time autonomous biosurveillance for mosquito-borne pathogens https://www.osti.gov/servlets/purl/1529853 Publication ID: 51613
Katherine Cauthen, Gregory Lambert, Jaideep Ray, Sophia Lefantzi, (2016). Imputing data that are missing at high rates using a boosting algorithm https://www.osti.gov/servlets/purl/1373460 Publication ID: 51385
Robert Meagher, Jaideep Ray, Ronald Renzi, Cameron Ball, Aashish Priye, Stephen Mueller, Cody Steiner, Sarah Wheeler, Lark Coffey, Chris Barker, (2016). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) https://www.osti.gov/servlets/purl/1366891 Publication ID: 50751
Peter Strazdins, Brendan Harding, Brian Lee, Jackson Mayo, Jaideep Ray, R. Armstrong, (2016). Robust finite difference stencils for solving the advection equation https://www.osti.gov/servlets/purl/1368998 Publication ID: 50511
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Bayesian parameter estimation of a k-ε model for accurate jet-in-crossflow simulations AIAA Journal https://doi.org/10.2514/1.J054758 Publication ID: 46918
Katherine Cauthen, Gregory Lambert, Jaideep Ray, Sophia Lefantzi, (2016). Imputing data that are missing at high rates using a boosting algorithm https://www.osti.gov/servlets/purl/1422069 Publication ID: 49956
Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Using LASSO to infer a high-order eddy viscosity model for k-epsilon RANS simulation of transonic flows https://www.osti.gov/servlets/purl/1422091 Publication ID: 50020
Jaideep Ray, Laura Swiler, Maoyi Huang, Zhangshuan Hou, (2016). A parallel Markov chain Monte Carlo method for calibrating computationally expensive models https://www.osti.gov/servlets/purl/1422090 Publication ID: 50021
Maoyi Huang, Zhangshuan Hou, Jaideep Ray, Laura Swiler, L Leung, (2016). An Uncertainty Quantification Framework for Land Models https://www.osti.gov/servlets/purl/1364682 Publication ID: 50071
Laura Swiler, Jaideep Ray, (2016). A Parallel MCMC Method https://www.osti.gov/servlets/purl/1364726 Publication ID: 50134
Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2016). Estimation and rectification of model-form errors in transonic Reynolds-Averaged Navier Stokes simulations https://www.osti.gov/servlets/purl/1368774 Publication ID: 50155
Robert Meagher, Aashish Priye, Cameron Ball, Ronald Renzi, Stephen Mueller, Jaideep Ray, Jonathan Helm, Chris Barker, Sarah Wheeler, William Reisen, Lark Coffey, (2016). Real-Time Autonomous Biosurveillance For Vectorborne Pathogens (Smart Traps) https://www.osti.gov/servlets/purl/1346114 Publication ID: 48664
Robert Meagher, Jaideep Ray, Stephen Mueller, Cameron Ball, Aashish Priye, Ronald Renzi, Lark Coffey, Chris Barker, Sarah Wheeler, William Reisen, (2016). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) https://www.osti.gov/servlets/purl/1346115 Publication ID: 48665
Jaideep Ray, Laura Swiler, GSH Pau, G Bisht, FM Hoffman, M Huang, Z Hou, X Chen, (2016). Improving predictive capability of land surface models through robust statistical calibration techniques https://www.osti.gov/servlets/purl/1342355 Publication ID: 46878
Jaideep Ray, (2016). Using open-source indicators to forecast outbreaks https://www.osti.gov/servlets/purl/1514304 Publication ID: 46652
Peter Strazdins, Brendan Harding, Chung Lee, Jackson Mayo, Jaideep Ray, R. Armstrong, (2016). A robust technique to make a 2D advection solver tolerant to soft faults Procedia Computer Science https://doi.org/10.1016/j.procs.2016.05.505 Publication ID: 49288
Jie Bao, huiying Ren, Maoyi Huang, Jaideep Ray, Laura Swiler, (2015). A Scalable Multi-chain Markov Chain Monte Carlo Method for Inverting Subsurface Hydraulic and Geological Properties https://www.osti.gov/servlets/purl/1339205 Publication ID: 42000
Jaideep Ray, Laura Swiler, Maoyi Huang, Zhangshuan Hou, (2015). Bayesian calibration of the Community Land Model using a multi-chain Markov chain Monte Carlo method https://www.osti.gov/servlets/purl/1530497 Publication ID: 41937
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Learning an Eddy Viscosity Model with Shrinkage? A Case Study with Jet-in-Crossflow Configuration https://www.osti.gov/servlets/purl/1331918 Publication ID: 46519
Jaideep Ray, Sophia Lefantzi, Bart van Bloemen Waanders, (2015). Bayesian inference of the permeability field of a binary medium https://www.osti.gov/servlets/purl/1333266 Publication ID: 46102
Jaideep Ray, (2015). Statistical inverse problems involving computationally expensive models https://www.osti.gov/servlets/purl/1328210 Publication ID: 44682
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Bayesian calibration of a RANS model with a complex response surface ? A case study with jet-in-crossflow configuration https://www.osti.gov/servlets/purl/1256028 Publication ID: 43778
Kevin Carlberg, Jaideep Ray, Bart van Bloemen Waanders, (2015). Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting Computer Methods in Applied Mechanics and Engineering https://doi.org/10.1016/j.cma.2015.02.013 Publication ID: 39210
Robert Meagher, Jaideep Ray, Ronald Renzi, Cameron Ball, Stephen Mueller, Yooli Light, Stanley Langevin, Sarah Wheeler, Lark Coffey, Christopher Barker, William Reisen, (2015). Real-Time Autonomous Biosurveillance for Vector-Borne Viral Pathogens https://www.osti.gov/servlets/purl/1252909 Publication ID: 43334
Gregory Lambert, Jaideep Ray, Sophia Lefantzi, Patrick Finley, Halley Smith, (2015). Forecasting Dengue Incidence from Social Media using Meteorological Covariates https://www.osti.gov/servlets/purl/1253080 Publication ID: 43392
Robert Meagher, Jaideep Ray, Ronald Renzi, Stanley Langevin, William Reisen, Lark Coffey, Chris Barker, (2015). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens https://www.osti.gov/servlets/purl/1255763 Publication ID: 43669
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Bayesian calibration of a RANS model with a complex response surface – A case study with jet-in-crossflow configuration https://doi.org/10.2514/6.2015-2784 Publication ID: 43494
Sophia Lefantzi, Jaideep Ray, Gregory Lambert, Patrick Finley, Halley Smith, (2015). Forecasting influenza activity using meteorological and Google Flu Trends data https://www.osti.gov/servlets/purl/1251370 Publication ID: 43273
Jaideep Ray, John Brownstein, (2015). Nowcasting influenza activity using Healthmap data https://www.osti.gov/servlets/purl/1251371 Publication ID: 43274
Donna Edwards, Lynn Yang, Jaideep Ray, Stephen Mueller, (2015). TPAT Poster for DTRA Conference https://www.osti.gov/servlets/purl/1248711 Publication ID: 43020
Jaideep Ray, (2015). Bayesian inference of parameters of computationally expensive models https://www.osti.gov/servlets/purl/1248833 Publication ID: 43044
Jaideep Ray, Laura Swiler, Maoyi Huang, jason hou, (2015). Use of Parallel MCMC Methods with the Community Land Model https://www.osti.gov/servlets/purl/1246298 Publication ID: 42504
Zhangshuan Hou, Maoyi Huang, Jaideep Ray, Laura Swiler, (2015). Quantification of structural uncertainty in a land surface model https://www.osti.gov/servlets/purl/1331643 Publication ID: 42564
Jaideep Ray, Laura Swiler, Maoyi Huang, Hou Zhangshuan, (2015). Estimating a model discrepancy term for the Community Land Model using latent heat and runoff observations https://www.osti.gov/servlets/purl/1240842 Publication ID: 42326
Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Eddy viscosity model selection for transonic turbulent flows using shrinkage regression https://www.osti.gov/servlets/purl/1246274 Publication ID: 42473
Robert Meagher, Ronald Renzi, Cameron Ball, Jaideep Ray, Stephen Mueller, Lark Coffey, William Reisen, Christopher Barker, Sarah Wheeler, (2015). Real-time Autonomous Biosurveillance for Vector-borne Viral Pathogens (SMART Traps) https://www.osti.gov/servlets/purl/1240327 Publication ID: 42282
Z Hou, Jaideep Ray, M Huang, Laura Swiler, (2015). Applicability of surrogate-based MCMC-Bayesian inversion of CLM at flux tower sites with various field conditions https://www.osti.gov/servlets/purl/1504327 Publication ID: 41465
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2015). Bayesian calibration of k-e parameters for predictive jet-in-crossflow simulations https://www.osti.gov/servlets/purl/1244938 Publication ID: 41331
Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Laura Swiler, (2014). Using runoff data to calibrate the Community Land Model https://www.osti.gov/servlets/purl/1319743 Publication ID: 39826
Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2014). Estimation of k-ε parameters using surrogate models and jet-in-crossflow data https://doi.org/10.2172/1170402 Publication ID: 41466
M. Drohmann, Raymond Tuminaro, Paul Boggs, Jaideep Ray, Bart van Bloemen Waanders, Kevin Carlberg, (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
Kushal Kedia, Cosmin Safta, Jaideep Ray, Habib Najm, Ahmed Ghoniem, (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 https://www.osti.gov/biblio/1106257 Publication ID: 34917
Sophia Lefantzi, Jaideep Ray, Gregory Lambert, Patrick Finley, Halley Smith, (2014). Disease forecasting using open-source indicators https://www.osti.gov/servlets/purl/1146950 Publication ID: 41035
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2014). Tuning a RANS k-e model for jet-in-crossflow simulations https://www.osti.gov/servlets/purl/1146753 Publication ID: 41091
Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2014). Bayesian calibration of a k-e turbulence model for predictive jet-in-crossflow simulations https://www.osti.gov/servlets/purl/1142674 Publication ID: 40470
Lynn Yang, Jaideep Ray, Stephen Mueller, (2014). Threat Probability to Action Tool TaCBRD Tech Demo #3 Orientation Slides https://www.osti.gov/servlets/purl/1694439 Publication ID: 40274
Jaideep Ray, Laura Swiler, (2014). Entropy-Bayesian Inversion of Hydrological Parameters in the Community Land Model Using Heat Flux and Runoff Data https://www.osti.gov/servlets/purl/1141487 Publication ID: 40224
Jaideep Ray, Ali Pinar, Seshadhri Comandur, (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
Sophia Lefantzi, Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2014). Tuning a RANS k-e model for jet-in-crossflow simulations https://www.osti.gov/servlets/purl/1141537 Publication ID: 40147
Jaideep Ray, Laura Swiler, (2014). Estimation of Structural Error in the Community Land Model Using Latent Heat Observations https://www.osti.gov/servlets/purl/1141762 Publication ID: 40149
Jaideep Ray, Jackson Mayo, R. Armstrong, (2014). Finite Difference Stencils Robust to Silent Data Corruption https://www.osti.gov/servlets/purl/1140700 Publication ID: 37249
Jaideep Ray, Laura Swiler, Khachik Sargsyan, (2014). BAYESIAN CALIBRATION OF THE COMMUNITY LAND MODEL USING SURROGATES SIAM Journal of Uncertainty Quantification https://www.osti.gov/biblio/1141039 Publication ID: 37288
Laura Swiler, Jaideep Ray, Khachik Sargsyan, (2014). Bayesian calibration of hydrological parameters in the Community Land Model (CODA Presentation) https://www.osti.gov/servlets/purl/1140888 Publication ID: 37304
Jaideep Ray, Laura Swiler, (2014). Bayesian calibration of the Community Land Model using surrogates https://doi.org/10.2172/1204075 Publication ID: 37070
Hyrum Anderson, Jaideep Ray, Jovana Helms, (2014). Compressed Sensing: Hope or Hype? https://www.osti.gov/servlets/purl/1684761 Publication ID: 36935
Jaideep Ray, Bart van Bloemen Waanders, (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
Jaideep Ray, Sophia Lefantzi, Srinivasan Arunajatesan, Lawrence Dechant, (2013). Bayesian calibration of a ??e turbulence model for predictive jet-in-crossflow simulations https://www.osti.gov/servlets/purl/1115119 Publication ID: 36219
Jaideep Ray, Srinivasan Arunajatesan, Lawrence Dechant, (2013). Tuning a RANS k-e model for jet-in-crossflow simulations https://doi.org/10.2172/1096265 Publication ID: 35888
Jaideep Ray, Jina Lee, Sophia Lefantzi, Bart van Bloemen Waanders, (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
Jaideep Ray, Jina Lee, Sophia Lefantzi, Bart van Bloemen Waanders, (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
Jina Lee, Sophia Lefantzi, Jaideep Ray, (2013). Coherence metric for optimal compressive sensing https://www.osti.gov/biblio/1064080 Publication ID: 32272
Jaideep Ray, (2013). Nowcasting influenza outbreaks using open-source media report https://doi.org/10.2172/1093696 Publication ID: 31649
Jaideep Ray, (2012). Assimilating HealthMap Data to Nowcast Epidemics https://www.osti.gov/servlets/purl/1648437 Publication ID: 30986
Jaideep Ray, Khachik Sargsyan, (2012). Bayesian calibration of the Community Land Model using surrogates https://www.osti.gov/biblio/1063367 Publication ID: 26321
Jaideep Ray, Seshadhri Comandur, (2012). A stopping criterion for Markov chains when generating independent random graphs https://www.osti.gov/servlets/purl/1658282 Publication ID: 30901
Jaideep Ray, Habib Najm, (2012). An approach for estimating the uncertainty in ParaDiS predictions https://doi.org/10.2172/1055898 Publication ID: 30415
Jaideep Ray, Bart van Bloemen Waanders, Sean Mckenna, (2012). Solving inverse problems with quantified uncertainty https://www.osti.gov/servlets/purl/1647768 Publication ID: 30083
Bart van Bloemen Waanders, Jaideep Ray, (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
Jaideep Ray, Bart van Bloemen Waanders, Sean Mckenna, (2012). Estimation of Anthropogenic CO2 Emissions from Sparse Measurements https://www.osti.gov/servlets/purl/1647765 Publication ID: 29657
Jaideep Ray, Ali Pinar, Seshadhri Comandur, (2012). Are we there yet? When to stop a Markov chain while generating random graphs Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) https://www.osti.gov/servlets/purl/1145268 Publication ID: 32307
Jaideep Ray, Cosmin Safta, (2012). Spatial and temporal data fusion for biosurveillance https://www.osti.gov/servlets/purl/1140740 Publication ID: 29109
Jaideep Ray, Cosmin Safta, (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
Jaideep Ray, Sophia Lefantzi, Sean Mckenna, Bart van Bloemen Waanders, (2012). Bayesian estimation of multiscale structures in a binary medium from sparse observations https://www.osti.gov/biblio/1067814 Publication ID: 28350
Jaideep Ray, Bart van Bloemen Waanders, Sean Mckenna, (2012). Estimation of multiscale fields representing anthropogenic CO2 emissions from sparse observations https://www.osti.gov/servlets/purl/1117565 Publication ID: 27414
Jaideep Ray, Ali Pinar, Seshadhri Comandur, (2012). Estimating a thinning ratio for a Markov chain of graphs https://www.osti.gov/biblio/1068331 Publication ID: 26946
Jaideep Ray, Ali Pinar, Seshadhri Comandur, (2012). Generating independent graphs with prescribed joint degree distribution using a Markov chain sampler https://www.osti.gov/biblio/1069055 Publication ID: 26676
Jaideep Ray, Sophia Lefantzi, Sean Mckenna, Bart van Bloemen Waanders, (2012). BAYESIAN ESTIMATION OF MULTISCALE STRUCTURES IN A BINARY MEDIUM FROM SPARSE OBSERVATIONS https://www.osti.gov/servlets/purl/1145349 Publication ID: 26737
Sean Mckenna, Jaideep Ray, (2011). Low dimensional models for the estimation of anthropogenic CO2 from atmospheric observations https://www.osti.gov/servlets/purl/1661569 Publication ID: 25705
Khachik Sargsyan, Cosmin Safta, R. Berry, Jaideep Ray, Bert Debusschere, Habib Najm, (2011). Efficient uncertainty quantification methodologies for high-dimensional climate land models https://doi.org/10.2172/1113860 Publication ID: 25433
Jaideep Ray, (2011). A comparison of single and multi-chain methods for estimating parameters of the Community Land Model https://www.osti.gov/servlets/purl/1288557 Publication ID: 25514
Sophia Lefantzi, Sean Mckenna, Jaideep Ray, Bart van Bloemen Waanders, (2011). Bayesian inference of multiscale structures in porous media https://www.osti.gov/servlets/purl/1143904 Publication ID: 25515
Jaideep Ray, Cosmin Safta, Sophia Lefantzi, (2011). Application of surrogate models to enable real-time characterization of epidemics https://www.osti.gov/servlets/purl/1287390 Publication ID: 25262
Sophia Lefantzi, Katherine Klise, Luke Salazar, Sean Mckenna, Bart van Bloemen Waanders, Jaideep Ray, (2011). Bayesian data assimilation for stochastic multiscale models of transport in porous media https://doi.org/10.2172/1030232 Publication ID: 24486
Cosmin Safta, Jaideep Ray, Khachik Sargsyan, Sophia Lefantzi, (2011). Real-time Characterization of Partially Observed Epidemics using Surrogate Models Mathematical Biosciences https://www.osti.gov/biblio/1106850 Publication ID: 24392
Jaideep Ray, (2011). Deriving a model for influenza epidemics from historical data https://doi.org/10.2172/1030332 Publication ID: 24402
Jaideep Ray, Bart van Bloemen Waanders, Sophia Lefantzi, (2011). Estimation of finescale conductivity fields from multiscale observations https://www.osti.gov/servlets/purl/1288661 Publication ID: 24448
Cosmin Safta, Jaideep Ray, Khachik Sargsyan, Sophia Lefantzi, (2011). Real-time characterization of partially observed epidemics using surrogate models https://doi.org/10.2172/1030325 Publication ID: 24467
Sean Mckenna, Bart van Bloemen Waanders, Jaideep Ray, (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
Cosmin Safta, Habib Najm, Jaideep Ray, (2011). A high-order AMR algorithm for chemically reacting flows https://www.osti.gov/servlets/purl/1106845 Publication ID: 23787
Jaideep Ray, Cosmin Safta, (2011). Dynamic Casualty Estimation from Biosurveillance Data https://www.osti.gov/servlets/purl/1107713 Publication ID: 23072
Sean Mckenna, Jaideep Ray, Youssef Marzouk, Bart van Bloemen Waanders, (2011). Truncated multiGaussian fields and effective conductance of binary media Advances in Water Resources https://doi.org/10.2172/1011620 Publication ID: 21165
Habib Najm, Cosmin Safta, Jaideep Ray, (2011). High-order AMR computations of chemically reacting flows https://www.osti.gov/servlets/purl/1140978 Publication ID: 22584
Sean Mckenna, Jaideep Ray, Paul Constantine, (2011). CO2 Inversion using Ensemble Kalman Filtersand Reduced Order Models https://www.osti.gov/servlets/purl/1108814 Publication ID: 22017
Cosmin Safta, Habib Najm, Jaideep Ray, (2011). High-order AMR computations of chemically reacting flows https://www.osti.gov/servlets/purl/1108817 Publication ID: 22018
Jaideep Ray, Bart van Bloemen Waanders, Sean Mckenna, (2011). Multiscale spatial models for representing anthropogenic CO2 emissions https://www.osti.gov/servlets/purl/1120629 Publication ID: 21988
Cosmin Safta, Jaideep Ray, Habib Najm, (2011). A High-Order AMR Algorithm for Chemically Reacting Flows https://www.osti.gov/servlets/purl/1110534 Publication ID: 21349
Cosmin Safta, Jaideep Ray, Habib Najm, (2010). High-order AMR computations of chemically reacting flows https://www.osti.gov/servlets/purl/1121096 Publication ID: 21040
Jaideep Ray, Bart van Bloemen Waanders, Sean Mckenna, (2010). The effect of error models in the multiscale inversion of binary permeability fields https://www.osti.gov/biblio/1038997 Publication ID: 21068
Sean Mckenna, Jaideep Ray, Bart van Bloemen Waanders, (2010). Posterior predictive modeling using multi-scale stochastic inverse parameter estimates https://www.osti.gov/biblio/1038166 Publication ID: 21106
Jaideep Ray, Cosmin Safta, (2010). Statistical techniques for the characterization of partially observed epidemics https://www.osti.gov/biblio/1030252 Publication ID: 20635
Cosmin Safta, Jaideep Ray, (2010). Characterization of communicable disease epidemics using Bayesian inference https://www.osti.gov/biblio/1035315 Publication ID: 20918
Sean Mckenna, Jaideep Ray, (2010). Computationally efficient inference for multiphase flow using the Ensemble Kalman Filter https://www.osti.gov/biblio/1021649 Publication ID: 19183
Cosmin Safta, Jaideep Ray, (2010). Bayesian classification of partially observed outbreaks using time-series data https://www.osti.gov/biblio/1019073 Publication ID: 18538
Bart van Bloemen Waanders, Sean Mckenna, Jaideep Ray, (2009). multiscale Bayesian inversion of binary permeability fields from static and dynamic observations https://www.osti.gov/servlets/purl/1141480 Publication ID: 17103
Jaideep Ray, Nicole Slattengren, (2009). Optimal Allocation of Resources Under Uncertainty Following an Anthrax Attack https://www.osti.gov/servlets/purl/1141996 Publication ID: 16610
Paul Boggs, Jaideep Ray, (2009). Bioattack reconstruction and resource estimation in “reload” scenarios https://www.osti.gov/biblio/952358 Publication ID: 15955
Jaideep Ray, Youssef Marzouk, (2008). A Bayesian method for inferring transmission chains in a partially observed epidemic https://www.osti.gov/servlets/purl/1142595 Publication ID: 15431
Jaideep Ray, Youssef Marzouk, (2008). A Bayesian method for inferring transmission chains in a partially observed epidemic https://www.osti.gov/biblio/950889 Publication ID: 14992
Zach Heath, Max Shneider, Keith Vanderveen, Benjamin Allan, Jaideep Ray, (2008). Parallel computing in enterprise modeling https://doi.org/10.2172/945906 Publication ID: 14848
Youssef Marzouk, Jaideep Ray, (2008). Bayesian inference of epidemiological characteristics in a partially observed epidemic https://www.osti.gov/servlets/purl/1143089 Publication ID: 14402
Jaideep Ray, (2008). Distributed micro-releases of bioterror pathogens https://www.osti.gov/servlets/purl/1706429 Publication ID: 14455
Johan Steensland, Jaideep Ray, (2008). Adaptive partitioning in high performance computing for scientific simulations using AMR https://www.osti.gov/servlets/purl/1145510 Publication ID: 13703
Jaideep Ray, Habib Najm, (2008). performance of high-order projection scheme for AMR computations of chemically reacting flows https://www.osti.gov/servlets/purl/1145732 Publication ID: 13171
R. Armstrong, Jaideep Ray, Zach Heath, Max Shneider, Keith Vanderveen, Benjamin Allan, (2008). Parallel Particle Data Model https://www.osti.gov/servlets/purl/1146008 Publication ID: 12819
Jaideep Ray, Benjamin Allan, Cosmin Safta, Israel Cohen, (2007). Cogeneration of transportation fuels and water from littoral feedstocks https://www.osti.gov/servlets/purl/1713161 Publication ID: 12163
Habib Najm, Jaideep Ray, (2007). Adaptive Chemistry Computations of Reacting Flow https://www.osti.gov/servlets/purl/1148180 Publication ID: 10373
Habib Najm, Jaideep Ray, (2007). Adaptive Chemistry Computations of Reacting Flow https://www.osti.gov/servlets/purl/1148079 Publication ID: 10374
Brian Adams, Karen Devine, Jaideep Ray, (2006). Efficient Large-scale Network-based Simulation of Disease Outbreaks https://www.osti.gov/servlets/purl/1264220 Publication ID: 8146
Jaideep Ray, (2006). Computers Computations and Science in Sandia https://www.osti.gov/servlets/purl/1725744 Publication ID: 7916
Jaideep Ray, (2006). An improved bi-level algorithm for partitioning dynamic grid hierarchies https://doi.org/10.2172/884741 Publication ID: 7037
Jaideep Ray, Johan Steensland, (2006). An improved bi-level algorithm for partitioning dynamic structured grid hierarchies https://www.osti.gov/biblio/947255 Publication ID: 6809
Johan Steensland, Jaideep Ray, (2005). Using run-time state to improve scalability of SAMR applications https://www.osti.gov/biblio/988566 Publication ID: 4495
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