Charles Tong

发表

Response-Surface-Based Bayesian Inference for Power System Dynamic Parameter Estimation

Xiao Chen, Lamine Mili, Yijun Xu, 2019, IEEE Transactions on Smart Grid.

An efficient integrated approach for global sensitivity analysis of hydrological model parameters

Jun Xia, Charles Tong, Che-sheng Zhan, 2013, Environ. Model. Softw..

Applying uncertainty quantification to multiphase flow computational fluid dynamics

Aytekin Gel, Chris Guenther, Mehrdad Shahnam, 2013 .

Advanced Computational Tools for Optimization and Uncertainty Quantification of Carbon Capture Processes

Yang Chen, John C. Eslick, David C. Miller, 2014 .

Development of a framework for sequential Bayesian design of experiments: Application to a pilot-scale solvent-based CO2 capture process

Debangsu Bhattacharyya, Christine M. Anderson-Cook, John M. Carroll, 2020, Applied Energy.

Refinement strategies for stratified sampling methods

Charles Tong, C. Tong, 2006, Reliab. Eng. Syst. Saf..

Overview of the U.S. DOE's Carbon Capture Simulation Initiative for Accelerating the Commercialization of CCS Technology

Xin Sun, Melodie Fox, Nikolaos V. Sahinidis, 2011 .

VLSI curve detector

Heng-Da Cheng, Charles Tong, Y. J. Lu, 1990, Pattern Recognit..

Development of a Rigorous Modeling Framework for Solvent-Based CO2 Capture. 1. Hydraulic and Mass Transfer Models and Their Uncertainty Quantification

Debangsu Bhattacharyya, David C. Miller, Benjamin Omell, 2018, Industrial & Engineering Chemistry Research.

Power Distribution System Synchrophasors with Non-Gaussian Errors: Real-World Measurements and Analysis

Xiao Chen, Can Huang, Charanraj A. Thimmisetty, 2018 .

Parallel Smoothed Aggregation Multigrid : Aggregation Strategies on Massively Parallel Machines

Ray S. Tuminaro, Charles Tong, R. Tuminaro, 2000, ACM/IEEE SC 2000 Conference (SC'00).

CCSI and the role of advanced computing in accelerating the commercial deployment of carbon capture systems

Xin Sun, Charles Tong, D. Miller, 2011 .

A Flexible Uncertainty Propagation Framework for General Multiphysics Systems

Xiao Chen, Gianluca Iaccarino, Charles Tong, 2016, SIAM/ASA J. Uncertain. Quantification.

MFIX-DEM Phi: Performance and Capability Improvements Towards Industrial Grade Open-source DEM Framework with Integrated Uncertainty Quantification

Yang Jiao, Aytekin Gel, Charles Tong, 2018 .

A Framework for Optimization and Quantification of Uncertainty and Sensitivity for Developing Carbon Capture Systems

Nikolaos V. Sahinidis, John C. Eslick, David C. Miller, 2014 .

Innovative computational tools and models for the design, optimization and control of carbon capture processes

Debangsu Bhattacharyya, Nikolaos V. Sahinidis, Stephen E. Zitney, 2016 .

Module-based Hybrid Uncertainty Quantification for Multi-physics Applications: Theory and Software

Xiao Chen, Gianluca Iaccarino, Charles Tong, 2013 .

Parallel Algebraic Multigrids for Structural Mechanics

Marian Brezina, Richard Becker, Charles Tong, 2004, SIAM J. Sci. Comput..

Carbon Capture Simulation Initiative: a case study in multiscale modeling and new challenges.

Xin Sun, Debangsu Bhattacharyya, Avik Sarkar, 2014, Annual review of chemical and biomolecular engineering.

Self-validated variance-based methods for sensitivity analysis of model outputs

Charles Tong, C. Tong, 2009, Reliab. Eng. Syst. Saf..

Problem Solving Environment for Uncertainty Analysis and Design Exploration

Charles Tong, 2008 .

Ordered Fast Fourier Transforms on a Massively Parallel Hypercube Multiprocessor

Paul N. Swarztrauber, Charles Tong, 1991, J. Parallel Distributed Comput..

Uncertainties in Predictions of Material Performance Using Experimental Data That Is Only Distantly Related to the System of Interest

William Oberkampf, Wayne E. King, Charles Tong, 2011, WoCoUQ.

Uncertainty quantification of property models: Methodology and its application to CO2‐loaded aqueous MEA solutions

Debangsu Bhattacharyya, David C. Miller, Charles Tong, 2015 .

Sequential Design of Experiments to Maximize Learning from Carbon Capture Pilot Plant Testing

Debangsu Bhattacharyya, Christine M. Anderson-Cook, James R. Gattiker, 2018 .

Dynamic reduced-order models of integrated physics-specific systems for carbon sequestration

Yunwei Sun, Charles Tong, 2017 .

Development of a Rigorous Modeling Framework for Solvent-Based CO2 Capture. Part 2: Steady-State Validation and Uncertainty Quantification with Pilot Plant Data

Debangsu Bhattacharyya, David C. Miller, Mathieu Lucquiaud, 2018, Industrial & Engineering Chemistry Research.

Toward the Development of a Verification, Validation, and Uncertainty Quantification Framework for Granular and Multiphase Flows—Part 1: Screening Study and Sensitivity Analysis

Aytekin Gel, Jordan Musser, Avinash Vaidheeswaran, 2018, Journal of Verification, Validation and Uncertainty Quantification.

The Preconditioned Conjugate Gradient Method on the Connection Machine

Charles Tong, 1989, Int. J. High Speed Comput..

Application of Sequential Design of Experiments (SDoE) to Large Pilot-Scale Solvent-Based CO2 Capture Process at Technology Centre Mongstad (TCM)

Debangsu Bhattacharyya, Christine M. Anderson-Cook, Michael Matuszewski, 2021, SSRN Electronic Journal.

Algebraic elimination of slide surface constraints in implicit structural analysis

Thomas A. Manteuffel, Charles Tong, Edmond Chow, 2003 .

Thermodynamic modeling and uncertainty quantification of CO 2 -loaded aqueous MEA solutions

Debangsu Bhattacharyya, David C. Miller, Benjamin Omell, 2017 .

Assessing parameter importance of the Common Land Model based on qualitative and quantitative sensitivity analysis

Wei Gong, Aizhong Ye, Zhenhua Di, 2013 .

Assessing WRF model parameter sensitivity: A case study with 5 day summer precipitation forecasting in the Greater Beijing Area

Wei Gong, Aizhong Ye, Zhenhua Di, 2015 .

Mixed finite element methods for incompressible flow: Stationary Stokes equations

Panayot S. Vassilevski, Zhiqiang Cai, Charles Tong, 2010 .