Faculty Profile
James Sutherland
Associate Department Chair
Professor
Adjunct Professor, School Of Computing
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CV
Curriculum Vitae -
Office
3290 H MEB -
Website
https://sutherland.che.utah.edu -
Email
James.Sutherland@utah.edu
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
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(2024). Optimizing progress variables for ammonia/hydrogen combustion using encoding-decoding networks. APS Division of Fluid Dynamics Meeting.
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(2024). Combustion Reduced-Order Modeling with Nonlinear Projections than linear projections. APS Division of Fluid Dynamics Meeting.
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(2024). Challenges of reduced-order modeling with reconstruction aware neural networks. Western States Section of the Combustion Institute.
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(2024). Progress in using Machine Learning to Create High-Fidelity Combustion Models. Joint meeting of NSF, AFOSR, ONR.
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(2024). Reduced-order modeling with reconstruction-informed projections. Combustion and Flame.
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(2023). Improvement of Data-Based Reduced-Order Combustion Models. {US} National Combustion Meeting.
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(2023). Topological characteristics of low- dimensional manifolds in reduced-order modeling of turbulent combustion. SIAM Computational Science and Engineering.
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(2023). Local manifold learning and its link to domain-based physics knowledge. Applications in Energy and Combustion Science.
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(2023). Reduced-order modeling of reacting flows with a regression-aware autoencoder. {US} National Combustion Meeting.
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(2023). Reduced-Order Modeling with a Regression-Aware Autoencoder. SIAM Computational Science and Engineering.
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(2023). Advancing Reacting Flow Simulations with Data-Driven Models. Data-Driven Fluid Mechanics.
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(2023). PCAfold 2.0—Novel tools and algorithms for low-dimensional manifold assessment and optimization. SoftwareX.
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(2023). Reduced-order modeling of reacting flows with a regression-aware autoencoder. {US} National Combustion Meeting.
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(2023). Reduced-order modeling with a regression-aware autoencoder. SIAM Computational Science and Engineering.
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(2023). Improving reduced-order models through nonlinear decoding of projection-dependent outputs. Patterns.
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(2023). Topological Characteristics of Low-Dimensional Manifolds in Reduced-Order Modeling of Turbulent Combustion. SIAM Computational Science and Engineering.
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(2022). A parametric study of MILD coal combustion from high-fidelity simulations. 18th International Conference on Numerical Combustion.
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(2022). Cost function for low-dimensional manifold topology assessment. Scientific Reports.
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(2022). Accurate Compression of Tabulated Chemistry Models with Partition of Unity Networks. Combustion Science and Technology.
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(2022). A Cost Function for Optimizing Manifold Topology in Reduced-Order Modeling. Western States Section of the Combustion Institute.
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(2022). Insights of MILD Combustion from High-Fidelity Simulations. Clean Coal and Sustainable Energy.
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(2022). Reduced-order modeling of reactive flows using data-driven approaches. Lecture notes in Energy: Machine Learning and its Application to Reacting Flows.
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(2022). Computational modeling and experiments of an elastoviscoplastic fluid in a thin mold-filling geometry. Journal of Non-Newtonian Fluid Mechanics.
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(2022). Cost function for low-dimensional manifold topology optimization. VKI Seminar Series.
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(2022). Improving Chemistry Tabulation with Partition of Unity Networks. 18th International Conference on Numerical Combustion.
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(2022). Characterizing manifold topologies for reduced-order modeling. 18th International Conference on Numerical Combustion.
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(2022). Characterizing Tradeoffs in Memory, Accuracy, and Speed for Chemistry Tabulation Techniques. Combustion Science and Technology.
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(2022). Manifold-informed state vector subset for reduced-order modeling. Proceedings of the Combustion Institute.
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(2022). Cost function for assessing the quality of low-dimensional manifolds. SIAM Conference on Mathematics of Data Science.
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(2021). Low-cost Runge-Kutta integrators for incompressible flow simulations. Journal of Computational Physics.
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(2021). Manifold-informed state vector subset for reduced-order modeling. Combura Symposium.
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(2021). PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds. Combura Symposium.
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(2021). Advancing Reactive Flow Simulations with Data-Driven Models. Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning.
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(2021). A technique for characterising feature size and quality of manifolds. Combustion Theory and Modelling.
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(2021). A Technique for Characterizing Feature Size and Manifold Quality of Low-Dimensional Parameterizations. Combustion Theory and Modelling.
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(2021). A modified many-body dissipative particle dynamics model for mesoscopic fluid simulation: methodology, calibration, and application for hydrocarbon and water. Molecular Simulation.
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(2021). Mitigation strategies for airborne disease transmission in orchestras using computational fluid dynamics. Science Advances.
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(2021). Characterization of temperature criteria using gas-phase fuel streams for MILD coal combustion. Fuel.
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(2021). Additional criteria for MILD coal combustion. Proceedings of the Combustion Institute.
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(2020). PCAfold: Python software to generate, analyze and improve PCA-derived low-dimensional manifolds. SoftwareX.
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(2020). PyModPDE : A Python Software for Modified Equation Analysis. SoftwareX.
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(2020). Mesoscopic modeling of heptane: A surface tension calculation.
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(2020). An explicit low-mach projection method for modeling flows with finite-rate chemistry. AIAA AVIATION 2020 FORUM.
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(2020). An Explicit Low-Mach Projection Method for Modeling Flows with Finite-Rate Chemistry.. AIAA AVIATION 2020 FORUM.
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(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.
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(2019). Automatic Halo Management for the Uintah GPU-Heterogeneous Asynchronous Many-Task Runtime. International Journal of Parallel Programming.
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(2019). Insights on Coal Combustion from High-Fidelity Simulations. The 9th International Symposium on Coal Combustion.
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(2018). Studying Explosive Modes and Cool Flames with Transient , Non-premixed Flamelets. Western States Section of the Combustion Institute.
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(2018). Automatic Halo Management for the Uintah GPU-Heterogeneous Asynchronous Many-Task Runtime. International Journal of Parallel Programming.
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(2018). State space parameterization of explosive eigenvalues during autoignition. Combustion and Flame.
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(2018). A Fast Turbulence Generator using Graphics Processing Units. 48th AIAA Fluid Dynamics Conference.
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(2018). On the consistency of state vectors and Jacobian matrices. Combustion and Flame.
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(2017). Scalable Tools for Generating Synthetic Isotropic Turbulence with Arbitrary Spectra. AIAA journal.
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(2017). Nebo: An efficient, parallel, and portable domain-specific language for numerically solving partial differential equations. Journal of Systems and Software.
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(2017). Scalable tools for generating synthetic isotropic turbulence with arbitrary spectra. AIAA Journal.
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(2017). Dual timestepping methods for detailed combustion chemistry. Combustion Theory and Modelling.
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(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).
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(2017). An Evaluation of the Efficacy of Various Coal Combustion Models for Predicting Char Burnout. Fuel.
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(2017). Scalable Tools for Generating Synthetic Isotropic Turbulence with Arbitrary Spectra. AIAA journal.
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(2017). The effect of model fidelity on prediction of char burnout for single-particle coal combustion. Proceedings of the Combustion Institute.
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(2016). One-Dimensional Modeling of Turbulent Premixed Jet Flames - Comparison to DNS. Flow, Turbulence and Combustion.
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(2016). Nebo: An efficient, parallel, and portable domain-specific language for numerically solving partial differential equations. Journal of Systems and Software.
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(2016). Comment on "Diffusion by a random velocity field" [Phys. Fluids 13, 22 (1970)]. Physics of Fluids.
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(2016). Wasatch: An architecture-proof multiphysics development environment using a Domain Specific Language and graph theory. Journal of Computational Science.
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(2016). Comment on ``Diffusion by a Random Velocity Field'' [Phys. Fluids 13 , 22 (1970)]. Phys. Fluids.
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(2016). PoKiTT: Exposing Task and Data Parallelism on Heterogeneous Architectures for Detailed Chemical Kinetics, Transport, and Thermodynamics Calculations. SIAM Journal on Scientific Computing.
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(2016). An Assessment and Comparison of Various Coal Combustion Models. First International Workshop on OxyFuel Combustion.
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(2016). One-Dimensional Modeling of Turbulent Premixed Jet Flames - Comparison to DNS. Flow, Turbulence and Combustion.
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(2016). Pseudotransient Continuation for Combustion Simulation with Detailed Reaction Mechanisms. SIAM Journal on Scientific Computing.
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(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.
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(2015). A comparative study of thermochemistry models for oxy-coal combustion simulation. Combustion and Flame.
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(2015). Wasatch : Addressing Multiphsyics and Hardware Complexity in a High-Performance Computing Environment. Workshop on Software Development Environments for High-Performance Computing.
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(2015). Nebo: an Embedded Domain-Specific Language for Platform-Agnostic PDE Solvers. The 24th International Conference on Parallel Architectures and Compilation Techniques.
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(2015). The Effect of Model Fidelity on Prediction of Char Burnout for Single-Particle Coal Combustion. Western States Section of the Combustion Institute.
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(2015). An a-posteriori evaluation of principal component analysis-based models for turbulent combustion simulations. Combustion and Flame.
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(2015). Physics-based Preconditioning and Dual Timestepping for Stiff Combustion Problems. 15th International Conference on Numerical Combustion.
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(2015). The Effect of Model Fidelity on Prediction of Char Burnout for Single-Particle Coal Combustion. Western States Section of the Combustion Institute.
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(2015). Algorithms and Abstractions for Assembly in PDE Codes : Workshop Report - SAND2015-1379.
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(2015). PoKiTT: an Efficient, Platform Agnostic Package for Thermodynamics, Kinetics, and Transport Properties in Reactive Flow Simulations. 15th International Conference on Numerical Combustion.
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(2015). Advanced regression methods for combustion modelling using principal components. Combustion and Flame.
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(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.
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(2015). Prediction of oxy-coal flame stand-off using high-fidelity thermochemical models and the one-dimensional turbulence model. Proceedings of the Combustion Institute.
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(2014). A comparison of various models in predicting ignition delay in single-particle coal combustion. Combustion and Flame.
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(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.
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(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.
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(2013). An Efficient and Explicit Pressure Projection Method for Reacting Flow Simulations. 8th National US Combustion Meeting.
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(2012). A filter-independent model identification technique for turbulent combustion modeling. Combustion and Flame.
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(2012). Graph-Based Software Design for Managing Complexity and Enabling Concurrency in Multiphysics PDE Software. ACM Transactions on Mathematical Software.
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(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..
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(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..
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(2011). Investigation of the MILD combustion regime via Principal Component Analysis. Proc. Combust. Inst..
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(2011). The one-dimensional-turbulence model. Fluid Mechanics and its Applications.
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(2009). Modeling Combustion using Pricipal Component Analysis: Dealing with Source Terms. Joint Meeting of the U.S. Sections of the Combustion Institute.
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(2009). Combustion modeling using principal component analysis. Proc. Combust. Inst..
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(2009). Identification of low-dimensional manifolds in turbulent flames. Proceedings of the Combustion Institute.
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(2009). Combustion Modeling using Principal Component Analysis. Proc. Combust. Inst..
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(2009). Identification of low-dimensional manifolds in turbulent flames. Proceedings of the Combustion Institute.
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(2009). Identification of Low-Dimensional Manifolds in Turbulent Flames. Proc. Combust. Inst..
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(2009). Combustion Modeling using Principal Component Analysis. Proc. Combust. Inst..
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(2007). A quantitative method for a priori evaluation of combustion reaction models. Combustion Theory and Modelling.
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(2007). Scalar mixing in direct numerical simulations of temporally evolving plane jet flames with skeletal CO/H2 kinetics. Proceedings of the Combustion Institute.
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(2007). Scalar Mixing in Direct Numerical Simulations of Temporally-Evolving Plane Jet Flames with Detailed CO/H2 Kinetics. Proc. Combust. Inst..
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(2007). Combustion Reaction Model Generation using Principal Component Analysis. Western States Section of the Combustion Institute.
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(2007). Toward Next-Generation Multiphysics Simulation Software. Joint Meeting of the U.S. Sections of the Combustion Institute.
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(2007). A Quantitative Method for A Priori Evaluation of Combustion Reaction Models. Combust. Theory Modelling.
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(2005). A General Approach to Creating Fortran Interface for C++ Application Libraries. Current Trends in High Performance Computing and Its Applications.
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(2005). Quantification of Differential Diffusion in Nonpremixed Systems. Western States Section of the Combustion Institute.
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(2005). Direct Numerical Simulation of Turbulent Combustion - Fundamental Insights Towards Predictive Models. Journal of Physics: Conference Series.
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(2005). Direct numerical simulation of turbulent combustion: Fundamental insights towards predictive models. Journal of Physics: Conference Series.
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(2005). Quantification of differential diffusion in nonpremixed systems. Combustion Theory and Modelling.
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(2005). Quantification of Differential Diffusion in Nonpremixed Systems. Combust. Theory Modelling.
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(2003). Improved boundary conditions for viscous, reacting, compressible flows. Journal of Computational Physics.
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(2003). Improved Boundary Conditions for Viscous, Reacting, Compressible Flows. J. Comp. Phys..
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. Investigation of the MILD combustion regime via Principal Component Analysis. Proc. Combust. Inst..