Research Output per Year
Research Output per Year
Overview
Personal Profile
Nicholas Wimer is a part of the High-Performance Algorithms and Complex Fluids Group within the Computational Science Center. He focuses on developing advanced fuel injection strategies for compression ignition engines using various machine learning techniques like reinforcement learning.
Research Interests
Computational fluid dynamics
Reacting fluid flows (combustion)
Internal combustion engines
Machine learning techniques
Education/Academic Qualification
Bachelor, Engineering, Dartmouth College
Bachelor, Engineering Physics/Applied Physics, Dartmouth College
PhD, Mechanical Engineering, University of Colorado
Master, Mechanical Engineering, University of Colorado
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multiphysics Time-Integration for Turbulent Combustion at the Exascale
Day, M., Wimer, N., Hassanaly, M., Esclapez, L., Felden, A., Ream, J., Henry de Frahan, M. & Rood, J., 2024, 22 p.Research output: NREL › Presentation
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SUNDIALS Time Integrators for Exascale Applications with Many Independent Systems of Ordinary Differential Equations
Balos, C., Day, M., Esclapez, L., Felden, A., Gardner, D., Hassanaly, M., Reynolds, D., Rood, J., Sexton, J., Wimer, N. & Woodward, C., 2024, In: International Journal of High Performance Computing Applications.Research output: Contribution to journal › Article › peer-review
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Symbolic Construction of the Chemical Jacobian of Quasi-Steady State (QSS) Chemistries for Exascale Computing Platforms: Article No. 113740
Hassanaly, M., Wimer, N., Felden, A., Esclapez, L., Ream, J., Henry de Frahan, M., Rood, J. & Day, M., 2024, In: Combustion and Flame. 270, 16 p.Research output: Contribution to journal › Article › peer-review
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The Pele Simulation Suite for Reacting Flows at Exascale
Henry de Frahan, M., Esclapez, L., Rood, J., Wimer, N., Mullowney, P., Perry, B., Owen, L., Sitaraman, H., Yellapantula, S., Hassanaly, M., Rahimi, M., Martin, M., Doronina, O., A., S., Reith, M., Ge, W., Sankaran, R., Almgren, A., Zhang, W. & Bell, J. & 3 others, , 2024, p. 13-25. 13 p.Research output: Contribution to conference › Paper
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Adaptive Mesh Refinement Simulations for Turbulent Reacting Flow
Day, M., Henry de Frahan, M., Rood, J., Wimer, N., Perry, B., Sitaraman, H., Yellapantula, S., Esclapez, L. & Appukuttan, S., 2023, 16 p.Research output: NREL › Presentation