Anuj Kumar
Anuj Kumar
Home
Experience
Publications
Contact
CV
Light
Dark
Automatic
Invited Talks and Conference Presentations
2025
Level-of-Detail Thinking of Scientific ML Surrogates
Guest lecture at Summer Geometry Initiative, MIT, July 09 , 2025
Jul 9, 2025 1:00 PM — 2:00 PM
2024
Efficient and Physically Consistent Surrogate Modeling of Chemical Kinetics Using Deep Operator Networks
Presented at The Crunch Group, Divion of Applied Mathematics, Brown University
Feb 2, 2024 1:00 PM — 2:00 PM
Video
2023
Physics - Informed Machine Learning for Reduced Space Chemical Kinetics
Presented at Machine Learning and the Physical Sciences Workshop, NeurIPS 2023
Dec 15, 2023 2:00 PM — 4:00 PM
Poster
Development of a Neural ODE-based Scientific Machine Learning Framework Towards Acceleration of Combustion CFD Simulations
Presented at Multi-Physics Group of TAPS devision at Argonne National Laboratory, Dec 1st , 2023
Dec 1, 2023 1:00 PM — 2:00 PM
A Framework for Combustion Chemistry Acceleration with DeepONets
Presented at APS Division of Fluid Dynamics 76th Annual Meeting, Washington, DC, November 19 – 21, 2023
Nov 19, 2023 3:30 PM — 1:45 PM
APS
Acceleration of Stiff Chemistry Integration with DeepONets
Presented at 13th U.S. National Combustion Meeting, College Station, Texas, March 19 – 22, 2023
Mar 21, 2023 11:20 AM — 11:40 AM
Combustion Simulation Acceleration via Principal Component (PC) Transport and Deep Operator Networks (DeepONets)
Presented at Multi-Physics Group of TAPS devision at Argonne National Laboratory, March 1st , 2023
Mar 1, 2023 3:00 PM — 5:00 PM
Efficient and Physically Consistent Surrogate Modeling of Chemical Kinetics Using Deep Operator Networks
In the talk, we’ll explore a new combustion chemistry acceleration scheme we’ve developed for reacting flow simulations, …
Feb 2, 2023 1:00 PM — 2:00 PM
Video
2022
Acceleration of Turbulent Combustion Simulation through Principal Components Transport and Machine Learning
Presented at APS Division of Fluid Dynamics 75th Annual Meeting, Indianpolis, Indiana, November 20 – 22, 2022
Nov 21, 2022 8:30 AM — 8:45 AM
APS
Cite
×