Faculty Profile


James Sutherland

Associate Department Chair
Professor
Adjunct Professor, School Of Computing

Research Interests


Carbon Dioxide

Co2 Capture

Coal Combustion

Combustion

Combustion Simulation

Computational Fluid Dynamics

Computational Transport Phenomena

Computer Simulation

Computer Simulation or Modeling

Energy

Energy Efficiency

Energy Storage Systems

High Performance Computing

High-performance Computing

Low-mach Reacting Flows

Machine Learning/ Artifical Intelligence

Numerical Analysis

Numerical Modeling

Numerical modeling

Optimization

Oxy-fuel Combustion

Oxyfuel Combustion

Reacting Flows; Reduced-order Modeling & Machine Learning

Turbulent Reacting Flow

Awards & Honors

  • College of Engineering Outstanding Teacher award, University of Utah College of Engineering 08/2017
  • Department of Chemical Engineering Outstanding Faculty award. Presented by the senior class to a faculty member annually., University of Utah Department of Chemical Engineering 04/2017
  • Best lecturer award from Chemical Engineering class of 2016.
  • Top 10% teaching in college of engineering 2014
  • Oblad Award 2001
  • All-American Award in Pistol Shooting 1999

Publications

  • C Sutherland, James, Kamila Zdybał, Alessandro Parente. (2024). Optimizing progress variables for ammonia/hydrogen combustion using encoding-decoding networks. APS Division of Fluid Dynamics Meeting.

  • Dallin Littlewood, James C Sutherland. (2024). Combustion Reduced-Order Modeling with Nonlinear Projections than linear projections. APS Division of Fluid Dynamics Meeting.

  • Dallin Littlewood, C Sutherland, James. (2024). Challenges of reduced-order modeling with reconstruction aware neural networks. Western States Section of the Combustion Institute.

  • C Sutherland, James. (2024). Progress in using Machine Learning to Create High-Fidelity Combustion Models. Joint meeting of NSF, AFOSR, ONR.

  • Elizabeth Armstrong, James C. Sutherland. (2024). Reduced-order modeling with reconstruction-informed projections. Combustion and Flame.

  • Elizabeth Armstrong, James C Sutherland. (2023). Improvement of Data-Based Reduced-Order Combustion Models. {US} National Combustion Meeting.

  • C Sutherland, James, Kamila Zdybał. (2023). Topological characteristics of low- dimensional manifolds in reduced-order modeling of turbulent combustion. SIAM Computational Science and Engineering.

  • Kamila Zdybał, Giuseppe D’Alessio, Antonio Attili, Axel Coussement, James C. Sutherland, Alessandro Parente. (2023). Local manifold learning and its link to domain-based physics knowledge. Applications in Energy and Combustion Science.

  • Kamila Zdybał, Alessandro Parente, James C Sutherland. (2023). Reduced-order modeling of reacting flows with a regression-aware autoencoder. {US} National Combustion Meeting.

  • Kamila Zdybał, Riccardo Malpica Galassi, James C Sutherland, Alessandro Parente. (2023). Reduced-Order Modeling with a Regression-Aware Autoencoder. SIAM Computational Science and Engineering.

  • K. Zdybal, G. D’Alessio, Gianmarco Aversano, Mohammad Rafi Malik, A. Coussement, James C Sutherland, Alessandro Parente. (2023). Advancing Reacting Flow Simulations with Data-Driven Models. Data-Driven Fluid Mechanics.

  • Kamila Zdybał, Elizabeth Armstrong, Alessandro Parente, James C Sutherland. (2023). PCAfold 2.0—Novel tools and algorithms for low-dimensional manifold assessment and optimization. SoftwareX.

  • Kamila Zdybał, C Sutherland, James. (2023). Reduced-order modeling of reacting flows with a regression-aware autoencoder. {US} National Combustion Meeting.

  • Kamila Zdybał, Riccardo Malpica Galassi, C Sutherland, James, Alessandro Parente. (2023). Reduced-order modeling with a regression-aware autoencoder. SIAM Computational Science and Engineering.

  • Kamila Zdybał, Alessandro Parente, James C. Sutherland. (2023). Improving reduced-order models through nonlinear decoding of projection-dependent outputs. Patterns.

  • James C Sutherland, Kamila Zdybał. (2023). Topological Characteristics of Low-Dimensional Manifolds in Reduced-Order Modeling of Turbulent Combustion. SIAM Computational Science and Engineering.

  • Hang Zhou, C Sutherland, James. (2022). A parametric study of MILD coal combustion from high-fidelity simulations. 18th International Conference on Numerical Combustion.

  • Kamila Zdybał, Elizabeth Armstrong, James C. Sutherland, Alessandro Parente. (2022). Cost function for low-dimensional manifold topology assessment. Scientific Reports.

  • Elizabeth Armstrong, Michael A. Hansen, Robert C. Knaus, Nathaniel A. Trask, John C. Hewson, James C. Sutherland. (2022). Accurate Compression of Tabulated Chemistry Models with Partition of Unity Networks. Combustion Science and Technology.

  • Elizabeth Armstrong, Kamila Zdybał, Alessandro Parente, James C. Sutherland. (2022). A Cost Function for Optimizing Manifold Topology in Reduced-Order Modeling. Western States Section of the Combustion Institute.

  • Hang Zhou, Josh McConnell, Terry A. Ring, James C. Sutherland. (2022). Insights of MILD Combustion from High-Fidelity Simulations. Clean Coal and Sustainable Energy.

  • Kamila Zdybał, Mohammad Rafi Malik, Axel Coussement, James C Sutherland, Alessandro Parente. (2022). Reduced-order modeling of reactive flows using data-driven approaches. Lecture notes in Energy: Machine Learning and its Application to Reacting Flows.

  • Josh McConnell, Weston Ortiz, James C. Sutherland, Pania Newell, Anne M. Grillet, Anthony M. McMaster, Rajkumar B. Bhakta, Rekha R. Rao. (2022). Computational modeling and experiments of an elastoviscoplastic fluid in a thin mold-filling geometry. Journal of Non-Newtonian Fluid Mechanics.

  • Kamila Zdybał, Elizabeth Armstrong, C Sutherland, James, Alessandro Parente. (2022). Cost function for low-dimensional manifold topology optimization. VKI Seminar Series.

  • Elizabeth Armstrong, Michael A. Hansen, Robert C Knaus, Nathaniel A. Trask, John C Hewson, James C. Sutherland. (2022). Improving Chemistry Tabulation with Partition of Unity Networks. 18th International Conference on Numerical Combustion.

  • Kamila Zdybał, Mohammad Rafi Malik, Elizabeth Armstrong, C Sutherland, James, Alessandro Parente. (2022). Characterizing manifold topologies for reduced-order modeling. 18th International Conference on Numerical Combustion.

  • Elizabeth Armstrong, John C Hewson, James C Sutherland. (2022). Characterizing Tradeoffs in Memory, Accuracy, and Speed for Chemistry Tabulation Techniques. Combustion Science and Technology.

  • Kamila Zdybał, James C. Sutherland, Alessandro Parente. (2022). Manifold-informed state vector subset for reduced-order modeling. Proceedings of the Combustion Institute.

  • Kamila Zdyba, Elizabeth Armstrong, James C Sutherland, Alessandro Parente. (2022). Cost function for assessing the quality of low-dimensional manifolds. SIAM Conference on Mathematics of Data Science.

  • Mokbel Karam, James C. Sutherland, Tony Saad. (2021). Low-cost Runge-Kutta integrators for incompressible flow simulations. Journal of Computational Physics.

  • Kamila Zdybał, J.C. Sutherland, Alessandro Parente. (2021). Manifold-informed state vector subset for reduced-order modeling. Combura Symposium.

  • Kamila Zdybał, Elizabeth Armstrong, Alessandro Parente, James C. Sutherland. (2021). PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds. Combura Symposium.

  • K. Zdybał, G. D’Alessio, G. Aversano, M. Malik, A. Coussement, James C Sutherland, A Parente. (2021). Advancing Reactive Flow Simulations with Data-Driven Models. Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning.

  • Elizabeth Armstrong, James C. Sutherland. (2021). A technique for characterising feature size and quality of manifolds. Combustion Theory and Modelling.

  • Elizabeth Armstrong, James C. Sutherland. (2021). A Technique for Characterizing Feature Size and Manifold Quality of Low-Dimensional Parameterizations. Combustion Theory and Modelling.

  • Qi Rao, Yidong Xia, Jiaoyan Li, Joshua McConnell, James Sutherland, Zhen Li. (2021). A modified many-body dissipative particle dynamics model for mesoscopic fluid simulation: methodology, calibration, and application for hydrocarbon and water. Molecular Simulation.

  • Hayden A Hedworth, Mokbel Karam, Josh McConnell, James C Sutherland, Tony Saad. (2021). Mitigation strategies for airborne disease transmission in orchestras using computational fluid dynamics. Science Advances.

  • Hang Zhou, Josh McConnell, Terry A Ring, James C. Sutherland. (2021). Characterization of temperature criteria using gas-phase fuel streams for MILD coal combustion. Fuel.

  • Hang Zhou, Terry A Ring, James C Sutherland. (2021). Additional criteria for MILD coal combustion. Proceedings of the Combustion Institute.

  • Kamila Zdybał, Elizabeth Armstrong, Alessandro Parente, James C. Sutherland. (2020). PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds. SoftwareX.

  • Mokbel Karam, James C Sutherland, Tony Saad. (2020). PyModPDE : A Python Software for Modified Equation Analysis. SoftwareX.

  • Qi Rao, Yidong Xia, Jiaoyan Li, Zhen Li, Joshua McConnell, James Sutherland. (2020). Mesoscopic modeling of heptane: A surface tension calculation.

  • J. McConnell, T. Saad, J.C. Sutherland. (2020). An explicit low-mach projection method for modeling flows with finite-rate chemistry. AIAA AVIATION 2020 FORUM.

  • Joshua T. McConnell, Tony Saad, James C Sutherland. (2020). An Explicit Low-Mach Projection Method for Modeling Flows with Finite-Rate Chemistry.. AIAA AVIATION 2020 FORUM.

  • Josh McConnell, James C Sutherland. (2020). Assessment of various tar and soot treatment methods and a priori analysis of the steady laminar flamelet model for use in coal combustion simulation. Fuel.

  • Brad Peterson, Alan Humphrey, Dan Sunderland, James Sutherland, Tony Saad, Harish Dasari, Martin Berzins. (2019). Automatic Halo Management for the Uintah GPU-Heterogeneous Asynchronous Many-Task Runtime. International Journal of Parallel Programming.

  • Hang Zhou, Josh Mcconnell, Terry A Ring, James C Sutherland. (2019). Insights on Coal Combustion from High-Fidelity Simulations. The 9th International Symposium on Coal Combustion.

  • Michael A M.A. Hansen, J.C. James C Sutherland. (2018). Studying Explosive Modes and Cool Flames with Transient , Non-premixed Flamelets. Western States Section of the Combustion Institute.

  • Brad Peterson, Alan Humphrey, Dan Sunderland, James Sutherland, Tony Saad, Harish Dasari, Martin Berzins. (2018). Automatic Halo Management for the Uintah GPU-Heterogeneous Asynchronous Many-Task Runtime. International Journal of Parallel Programming.

  • Michael A. Hansen, Elizabeth Armstrong, James C Sutherland. (2018). State space parameterization of explosive eigenvalues during autoignition. Combustion and Flame.

  • Tony Saad, James Sutherland, Austin Richards. (2018). A Fast Turbulence Generator using Graphics Processing Units. 48th AIAA Fluid Dynamics Conference.

  • Michael A. Hansen, James C. Sutherland. (2018). On the consistency of state vectors and Jacobian matrices. Combustion and Flame.

  • Tony Saad, Derek Cline, J.C. James C. Sutherland, R. Stoll, J.C. James C. Sutherland. (2017). Scalable Tools for Generating Synthetic Isotropic Turbulence with Arbitrary Spectra. AIAA journal.

  • Christopher Earl, Matthew Might, Abhishek Bagusetty, James C. Sutherland. (2017). Nebo: An efficient, parallel, and portable domain-specific language for numerically solving partial differential equations. Journal of Systems and Software.

  • T. Saad, D. Cline, R. Stoll, J.C. Sutherland. (2017). Scalable tools for generating synthetic isotropic turbulence with arbitrary spectra. AIAA Journal.

  • Michael Alan Hansen, James Clayton Sutherland. (2017). Dual timestepping methods for detailed combustion chemistry. Combustion Theory and Modelling.

  • Siddartha Ravichandran, Michael Brown, Babak Goshayeshi, James C Sutherland. (2017). Progress with Nebo : A portable, performant EDSL for multiphysics applications. Seventh International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC).

  • Josh Mcconnell, Babak Goshayeshi, James C Sutherland. (2017). An Evaluation of the Efficacy of Various Coal Combustion Models for Predicting Char Burnout. Fuel.

  • Tony Saad, Derek Cline, James C. Sutherland, R. Stoll. (2017). Scalable Tools for Generating Synthetic Isotropic Turbulence with Arbitrary Spectra. AIAA journal.

  • Josh McConnell, James C. Sutherland. (2017). The effect of model fidelity on prediction of char burnout for single-particle coal combustion. Proceedings of the Combustion Institute.

  • Naveen Punati, Haiou Wang, Evatt R. Hawkes, James C. Sutherland, Haiou Wang, Evatt R. Hawkes, James C. Sutherland. (2016). One-Dimensional Modeling of Turbulent Premixed Jet Flames - Comparison to DNS. Flow, Turbulence and Combustion.

  • Christopher Earl, Matthew Might, Abhishek Bagusetty, James C. Sutherland. (2016). Nebo: An efficient, parallel, and portable domain-specific language for numerically solving partial differential equations. Journal of Systems and Software.

  • Tony Saad, James C Sutherland. (2016). Comment on "Diffusion by a random velocity field" [Phys. Fluids 13, 22 (1970)]. Physics of Fluids.

  • Tony Saad, James C Sutherland. (2016). Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory. Journal of Computational Science.

  • Tony Saad, James C Sutherland. (2016). Comment on ``Diffusion by a Random Velocity Field'' [Phys. Fluids 13 , 22 (1970)]. Phys. Fluids.

  • Nathan Yonkee, James C Sutherland. (2016). PoKiTT: Exposing Task and Data Parallelism on Heterogeneous Architectures for Detailed Chemical Kinetics, Transport, and Thermodynamics Calculations. SIAM Journal on Scientific Computing.

  • James C. Sutherland, Joshua Mcconnell, Babak Goshayeshi. (2016). An Assessment and Comparison of Various Coal Combustion Models. First International Workshop on OxyFuel Combustion.

  • Naveen Punati, Haiou Wang, Evatt R Hawkes, James C Sutherland. (2016). One-Dimensional Modeling of Turbulent Premixed Jet Flames - Comparison to DNS. Flow, Turbulence and Combustion.

  • M A Hansen, J C Sutherland. (2016). Pseudotransient Continuation for Combustion Simulation with Detailed Reaction Mechanisms. SIAM Journal on Scientific Computing.

  • Bradley Peterson, Harish Kumar Dasari, Alan Humphrey, James Sutherland, Tony Saad, Martin Berzins. (2015). Reducing Overhead in the Uintah Framework to Support Short-Lived Tasks on GPU-Heterogeneous Architectures. Fifth International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing.

  • Babak Goshayeshi, James C. Sutherland. (2015). A comparative study of thermochemistry models for oxy-coal combustion simulation. Combustion and Flame.

  • Tony Saad, James C Sutherland. (2015). Wasatch : Addressing Multiphsyics and Hardware Complexity in a High-Performance Computing Environment. Workshop on Software Development Environments for High-Performance Computing.

  • Tony Saad, James C. Sutherland. (2015). Nebo: an Embedded Domain-Specific Language for Platform-Agnostic PDE Solvers. The 24th International Conference on Parallel Architectures and Compilation Techniques.

  • Josh Mcconnell, James C Sutherland. (2015). The Effect of Model Fidelity on Prediction of Char Burnout for Single-Particle Coal Combustion. Western States Section of the Combustion Institute.

  • Amir Biglari, James C Sutherland. (2015). An a-posteriori evaluation of principal component analysis-based models for turbulent combustion simulations. Combustion and Flame.

  • Michael A. Hansen, James C. Sutherland. (2015). Physics-based Preconditioning and Dual Timestepping for Stiff Combustion Problems. 15th International Conference on Numerical Combustion.

  • Josh McConnell, James C. Sutherland. (2015). The Effect of Model Fidelity on Prediction of Char Burnout for Single-Particle Coal Combustion. Western States Section of the Combustion Institute.

  • Eric C Cyr, Eric Phipps, Michael A Heroux, Jed Brown, Ethan T Coon, Robert C Kirby, Tzanio V Kolev, James C Sutherland, R Trott. (2015). Algorithms and Abstractions for Assembly in PDE Codes : Workshop Report - SAND2015-1379.

  • Nathan Yonkee, James C. Sutherland. (2015). PoKiTT: an Efficient, Platform Agnostic Package for Thermodynamics, Kinetics, and Transport Properties in Reactive Flow Simulations. 15th International Conference on Numerical Combustion.

  • Benjamin J. Isaac, Jeremy N. Thornock, James Sutherland, Philip J. Smith, Alessandro Parente. (2015). Advanced regression methods for combustion modelling using principal components. Combustion and Flame.

  • B. Peterson, H. Dasari, A. Humphrey, J. Sutherland, T. Saad, M. Berzins. (2015). Reducing overhead in the uintah framework to support short-lived tasks on GPU-heterogeneous architectures. Proceedings of WOLFHPC 2015: 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing - Held in conjunction with SC 2015: The International Conference for High Performance Computing, Networking, Stor.

  • Babak Goshayeshi, James C Sutherland. (2015). Prediction of oxy-coal flame stand-off using high-fidelity thermochemical models and the one-dimensional turbulence model. Proceedings of the Combustion Institute.

  • Babak Goshayeshi, James C. Sutherland. (2014). A comparison of various models in predicting ignition delay in single-particle coal combustion. Combustion and Flame.

  • John Schmidt, Martin Berzins, Jeremy Thornock, Tony Saad, James Sutherland. (2013). Large scale parallel solution of incompressible flow problems using uintah and hypre. Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on.

  • John Schmidt, Martin Berzins, Jeremy Thornock, Tony Saad, J. Sutherland. (2013). Large scale parallel solution of incompressible flow problems using uintah and hypre. Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on.

  • Amir Biglari, Tony Saad, J.C. James C. Sutherland. (2013). An Efficient and Explicit Pressure Projection Method for Reacting Flow Simulations. 8th National US Combustion Meeting.

  • Amir Biglari, James C. Sutherland. (2012). A filter-independent model identification technique for turbulent combustion modeling. Combustion and Flame.

  • Patrick K. Notz, Roger P. Pawlowski, James C. Sutherland. (2012). Graph-Based Software Design for Managing Complexity and Enabling Concurrency in Multiphysics PDE Software. ACM Transactions on Mathematical Software.

  • N Punati, J C Sutherland, A R Kerstein, E R Hawkes, J H Chen. (2011). An Evaluation of the One-Dimensional Turbulence Model: Comparison with Direct Numerical Simulations of CO/H2 Jets with Extinction and Reignition. Proc. Combust. Inst..

  • N. Punati, J. C. Sutherland, A. R. Kerstein, E. R. Hawkes, J. H. Chen. (2011). An Evaluation of the One-Dimensional Turbulence Model: Comparison with Direct Numerical Simulations of CO/H2 Jets with Extinction and Reignition. Proc. Combust. Inst..

  • A. Parente, J. C. Sutherland, B. B. Dally, L. Tognotti, P. J. Smith. (2011). Investigation of the MILD combustion regime via Principal Component Analysis. Proc. Combust. Inst..

  • T Echekki, A R Kerstein, J C Sutherland. (2011). The one-dimensional-turbulence model. Fluid Mechanics and its Applications.

  • James C. Sutherland, Alessandro Parente. (2009). Modeling Combustion using Pricipal Component Analysis: Dealing with Source Terms. Joint Meeting of the U.S. Sections of the Combustion Institute.

  • J. Sutherland, A. Parente. (2009). Combustion modeling using principal component analysis. Proc. Combust. Inst..

  • A. Parente, J. C. Sutherland, L. Tognotti, P. J. Smith. (2009). Identification of low-dimensional manifolds in turbulent flames. Proceedings of the Combustion Institute.

  • J C Sutherland, A Parente. (2009). Combustion Modeling using Principal Component Analysis. Proc. Combust. Inst..

  • A Parente, J C Sutherland, L Tognotti, P J Smith. (2009). Identification of low-dimensional manifolds in turbulent flames. Proceedings of the Combustion Institute.

  • A. Parente, J. C. Sutherland, P. J. Smith, L. Tognotti. (2009). Identification of Low-Dimensional Manifolds in Turbulent Flames. Proc. Combust. Inst..

  • J. C Sutherland, A. Parente. (2009). Combustion Modeling using Principal Component Analysis. Proc. Combust. Inst..

  • J C Sutherland, P J Smith, J H Chen. (2007). A quantitative method for a priori evaluation of combustion reaction models. Combustion Theory and Modelling.

  • E R Hawkes, R Sankaran, J C Sutherland, J H Chen. (2007). Scalar mixing in direct numerical simulations of temporally evolving plane jet flames with skeletal CO/H2 kinetics. Proceedings of the Combustion Institute.

  • E. R. Hawkes, R. Sankaran, J. C. Sutherland, J. H. Chen. (2007). Scalar Mixing in Direct Numerical Simulations of Temporally-Evolving Plane Jet Flames with Detailed CO/H2 Kinetics. Proc. Combust. Inst..

  • J.C. James C. Sutherland, Alessandro Parente. (2007). Combustion Reaction Model Generation using Principal Component Analysis. Western States Section of the Combustion Institute.

  • J.C. James C. Sutherland. (2007). Toward Next-Generation Multiphysics Simulation Software. Joint Meeting of the U.S. Sections of the Combustion Institute.

  • J. C. Sutherland, P. J. Smith, J. H. Chen. (2007). A Quantitative Method for A Priori Evaluation of Combustion Reaction Models. Combust. Theory Modelling.

  • Yang Wang, Raghurama Reddy, Roberto Gomez, Junwoo Lim, Sergiu Sanielevici, Jaideep Ray, James Sutherland, Jackie Chen. (2005). A General Approach to Creating Fortran Interface for C++ Application Libraries. Current Trends in High Performance Computing and Its Applications.

  • J.C. C. Sutherland, P.J. J. Smith, J.H. H. Chen. (2005). Quantification of Differential Diffusion in Nonpremixed Systems. Western States Section of the Combustion Institute.

  • E. R. Hawkes, R. Sankaran, J. C. Sutherland, J. H. Chen. (2005). Direct Numerical Simulation of Turbulent Combustion - Fundamental Insights Towards Predictive Models. Journal of Physics: Conference Series.

  • E R Hawkes, R Sankaran, J C Sutherland, J H Chen. (2005). Direct numerical simulation of turbulent combustion: Fundamental insights towards predictive models. Journal of Physics: Conference Series.

  • J.C. Sutherland, P.J. Smith, J.H. Chen. (2005). Quantification of differential diffusion in nonpremixed systems. Combustion Theory and Modelling.

  • J. C. Sutherland, P. J. Smith, J. H. Chen. (2005). Quantification of Differential Diffusion in Nonpremixed Systems. Combust. Theory Modelling.

  • J C Sutherland, C A Kennedy. (2003). Improved boundary conditions for viscous, reacting, compressible flows. Journal of Computational Physics.

  • J. C. Sutherland, C. A. Kennedy. (2003). Improved Boundary Conditions for Viscous, Reacting, Compressible Flows. J. Comp. Phys..

  • A. Parente, J. C. Sutherland, B. B. Dally, L. Tognotti, P. J. Smith. . Investigation of the MILD combustion regime via Principal Component Analysis. Proc. Combust. Inst..