Publications

Advanced Search

Results 1–25 of 49

Scope

Center for Computing Research

All Sandia Publications

Publication Type

Author

Funding Source

Current Filters Clear all

Remove author filter×

Publication	Type	Year
Informing Missing Physics with Model Form Error and Model Selection 8th European Congress on Computational Methods in Applied Sciences and Engineering Kathryn Anne Maupin, Jaideep Ray, Teresa Portone	Abstract – 2021 Abstract	2021
The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans ASC AMLI Program Review Ron A. Oldfield, Sharlotte LorraineBolyard Kramer, Ahmad Rushdi, Erin Acquesta, John M Emery, Paul Allen Kuberry, Jaideep Ray, Sarah Ackerman, Eric Christopher Cyr, Gary Joseph Saavedra, Clayton Hughes, Suma George Cardwell, John Darby Smith	Presentation (non-conference) – 2021 Presentation (non-conference)	2021
Robustness and Validation of Model and Digital Twins Deployment Svitana Volkova, David John Stracuzzi, Jenifer Shafer, Jaideep Ray, Laura Pullum https://www.osti.gov/search/identifier:1770631	Report – 2021 Report	2021
Predictive Skill of Deep Learning Models Trained on Limited Sequence Data Cosmin Safta, Kookjin Lee, Jaideep Ray https://www.osti.gov/search/identifier:1688570	SAND Report – 2020 SAND Report	2020
Characterization of Partially Observed Epidemics - Application to COVID-19 Cosmin Safta, Jaideep Ray, Erin Acquesta, Thomas Anthony Catanach, Kamaljit Singh Chowdhary, Bert Debusschere, Edgar Galvan, Gianluca Geraci, Mohammad Khalil, Teresa Portone https://www.osti.gov/search/identifier:1763554	SAND Report – 2020 SAND Report	2020
Estimation of Inflow Uncertainties in Laminar Hypersonic Double-Cone Experiments AIAA Journal Jaideep Ray, Sarah Kieweg, Derek John Dinzl, Brian Carnes, V. Gregory Weirs, Brian Andrew Freno, Micah Andrew Howard, Thomas M. Smith https://www.osti.gov/search/identifier:1619241	Journal Article – 2020 Journal Article	2020
Rigorous Data Fusion for Computationally Expensive Simulations Nickolas Winovich, Ahmad Rushdi, Eric T. Phipps, Jaideep Ray, Guang Lin, Mohamed Salah Ebeida https://www.osti.gov/search/identifier:1560809	SAND Report – 2019 SAND Report	2019
Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ, Sensitivity Analysis, and Validation Metrics AIAA SciTech Sarah Kieweg, Jaideep Ray, V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Brian Andrew Freno, Micah Andrew Howard, Eric T. Phipps, William J. Rider, Thomas M. Smith https://www.osti.gov/search/identifier:1592001	Conference Paper – 2019 Conference Paper	2019
Estimation of inflow uncertainties in laminar hypersonic double-cone experiments AIAA SciTech Forum Jaideep Ray, Sarah Kieweg, Derek John Dinzl, Brian Carnes, V. Gregory Weirs, Brian Andrew Freno, Micah Andrew Howard, Thomas M. Smith, I. Nompelis, G.V. Candler https://www.osti.gov/search/identifier:1761392	Conference Paper – 2018 Conference Paper	2018
Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification, Sensitivity Analysis, and Validation Metrics AIAA SciTech Sarah Kieweg, Jaideep Ray, V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Brian Andrew Freno, Micah Andrew Howard, Eric T. Phipps, William J. Rider, Thomas M. Smith, Ioannis Nompelis, Graham Candler https://www.osti.gov/search/identifier:1761106	Conference Paper – 2018 Conference Paper	2018
Estimation of inflow uncertainties in laminar hypersonic double-cone experiments AIAA SciTech Forum and Exposition Jaideep Ray, Sarah Kieweg, Derek John Dinzl, Brian Carnes, V. Gregory Weirs, Brian Andrew Freno, Micah Andrew Howard, Thomas M. Smith, Ioannis Nompelis, G.V Candler https://www.osti.gov/search/identifier:1576878	Conference Paper – 2018 Conference Paper	2018
Soil Moisture Estimation Using Tomographic Ground Penetrating Radar in a MCMC- Bayesian Framework Stochastic Environmental Research and Risk Assessment Jie Bao, Zhangshuan Hou, Jaideep Ray, Maoyi Huang, Laura Painton Swiler, Huiying Ren https://www.osti.gov/search/identifier:1496976	Journal Article – 2018 Journal Article	2018
Uncertainty Quantification, Sensitivity Analysis, and Validation Assessment of Hypersonic Double-Cone Flow Simulations AIAA SciTech Forum Sarah Kieweg, Jaideep Ray, V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Brian Andrew Freno, Micah Andrew Howard, William J. Rider, Thomas M. Smith	Abstract – 2018 Abstract	2018
Solving classification problems using implicit Voronoi cells and local hyperplane sampling Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification Mohamed Salah Ebeida, Laura Painton Swiler, Eric T. Phipps, Jaideep Ray https://www.osti.gov/search/identifier:1524960	Conference Paper – 2018 Conference Paper	2018
A Validation Study for a Hypersonic Flow Model ASME Verification and Validation Symposium V. Gregory Weirs, Brian Carnes, Derek John Dinzl, Micah Andrew Howard, Sarah Kieweg, Jaideep Ray, William J. Rider, Thomas M. Smith, V. Gregory Weirs https://www.osti.gov/search/identifier:1515624	Conference Paper – 2018 Conference Paper	2018
A Validation Study for a Hypersonic Flow Model ASME Verification and Validation Symposium Brian Carnes, Derek John Dinzl, Micah Andrew Howard, Sarah Kieweg, Jaideep Ray, William J. Rider, Thomas M. Smith, V. Gregory Weirs	Abstract – 2018 Abstract	2018
SNL ATDM Math Libraries ? Data Propagation Components 2018 ECP Annual Meeting Eric T. Phipps, Daniel Z. Turner, Kathryn Anne Maupin, Jaideep Ray, Denis Ridzal https://www.osti.gov/search/identifier:1806499	Display or Poster (non-conference) – 2018 Display or Poster (non-conference)	2018
Multi-chain Markov chain Monte Carlo methods for computationally expensive models American Geophysical Union Jaideep Ray, M Huang, H. Ren, J. Bao, Z. Hou, Laura Painton Swiler https://www.osti.gov/search/identifier:1488741	Conference Paper – 2017 Conference Paper	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 Huiying Ren, Jaideep Ray, Z Hou, M Huang, J Bao, Laura Painton Swiler https://www.osti.gov/search/identifier:1406375	Journal Article – 2017 Journal Article	2017
SAChES: Scalable Adaptive Chain-Ensemble Sampling Laura Painton Swiler, Jaideep Ray, Laura Painton Swiler, Mohamed Salah Ebeida, Maoyi (PNNL) Huang, Zhangshuan (PNNL) Hou, Jie (PNNL) Bao, Huiying (PNNL) Ren https://www.osti.gov/search/identifier:1380101	SAND Report – 2017 SAND Report	2017
Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model american geophysical union, fall meeting Jaideep Ray, Laura Painton Swiler, Jie Bao, Zhangshuan Hou, Maoyi Huang https://www.osti.gov/search/identifier:1524688	Conference Paper – 2016 Conference Paper	2016
On the Applicability of Surrogate-based MCMC-Bayesian Inversion to the Community Land Model: Case Studies at Flux Tower Sites Journal of Geophysical Research - Atmosphere Maoyi Huang, Jaideep Ray, Zhangshuan Hou, huiying Ren, Ying Liu, Laura Painton Swiler https://www.osti.gov/search/identifier:1262239	Journal Article – 2016 Journal Article	2016
A Parallel MCMC Method Probabilistic Mechanics Conference Laura Painton Swiler, Jaideep Ray https://www.osti.gov/search/identifier:1364726	Conference Paper – 2016 Conference Paper	2016
An Uncertainty Quantification Framework for Land Models 2016 Land Model Benchmarking Workshop Maoyi Huang, Zhangshuan Hou, Jaideep Ray, Laura Painton Swiler, L Ruby Leung https://www.osti.gov/search/identifier:1364682	Conference Paper – 2016 Conference Paper	2016
A parallel Markov chain Monte Carlo method for calibrating computationally expensive models ASME Verification & Validation Conference, 2016 Jaideep Ray, Laura Painton Swiler, Maoyi Huang, Zhangshuan Hou https://www.osti.gov/search/identifier:1422090	Conference Paper – 2016 Conference Paper	2016
Document Title	Type	Year

Results 1–25 of 49

Publications

Informing Missing Physics with Model Form Error and Model Selection

The ASC Advanced Machine Learning Initiative at Sandia National Laboratories: FY21 Accomplishments and FY22 Plans

Robustness and Validation of Model and Digital Twins Deployment

Predictive Skill of Deep Learning Models Trained on Limited Sequence Data

Characterization of Partially Observed Epidemics - Application to COVID-19

Estimation of Inflow Uncertainties in Laminar Hypersonic Double-Cone Experiments

Rigorous Data Fusion for Computationally Expensive Simulations

Validation Assessment of Hypersonic Double-Cone Flow Simulations using UQ, Sensitivity Analysis, and Validation Metrics

Estimation of inflow uncertainties in laminar hypersonic double-cone experiments

Validation Assessment of Hypersonic Double-Cone Flow Simulations using Uncertainty Quantification, Sensitivity Analysis, and Validation Metrics

Estimation of inflow uncertainties in laminar hypersonic double-cone experiments

Soil Moisture Estimation Using Tomographic Ground Penetrating Radar in a MCMC- Bayesian Framework

Uncertainty Quantification, Sensitivity Analysis, and Validation Assessment of Hypersonic Double-Cone Flow Simulations

Solving classification problems using implicit Voronoi cells and local hyperplane sampling

A Validation Study for a Hypersonic Flow Model

A Validation Study for a Hypersonic Flow Model

SNL ATDM Math Libraries ? Data Propagation Components

Multi-chain Markov chain Monte Carlo methods for computationally expensive models

Bayesian Inversion of Seismic and Electromagnetic Data for Marine Gas Reservoir Characterization Using Multi-chain Markov Chain Monte Carlo Sampling

SAChES: Scalable Adaptive Chain-Ensemble Sampling

Using a multi-chain Markov chain Monte Carlo method to calibrate a geoscientific model

On the Applicability of Surrogate-based MCMC-Bayesian Inversion to the Community Land Model: Case Studies at Flux Tower Sites

A Parallel MCMC Method

An Uncertainty Quantification Framework for Land Models

A parallel Markov chain Monte Carlo method for calibrating computationally expensive models