Publications

• Numerical Modeling of Liquid Wall Flows for Fusion Energy Applications Using Maxwell-Navier-Stokes Equations
  Suresh Murugaiyan, Stefano Brizzolara
  View Publication
• Predicting Time-Dependent Flow Over Complex Geometries Using Operator Networks
  Ali Rabeh, Suresh Murugaiyan, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
  View Publication
• A Semi-Implicit Variational Multiscale Formulation of the Incompressible Navier-Stokes Equations.
  Biswajit Khara, Suresh Murugaiyan, Suriya Dhakshinamoorthy, Makrand Khanwale, Ming-Chen Hsu, Baskar Ganapathysubramanian
  View Publication
• Neural-Network-based Viscosity Closure for Non-Newtonian Multiphase Flows
  Suresh Murugaiyan, Claire L. Nelson, Dhruv Gamdha, Austin Cunniff, Cheng-Hau Yang, Abraham Wiletsky, Kaitlyn W. Dilley, Patrick Babb, Andrew Rhode, Christopher M. Bates, Angela A. Pitenis, Michael L. Chabinyc, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
  View Publication
• A Leray-Helmholtz Projection-Based Variational Multiscale Method for the Incompressible Navier-Stokes Equations (Under preparation)
  Biswajit Khara, Suresh Murugaiyan, Baskar Ganapathysubramanian
  

Thesis and Dissertation

• Modeling the Dynamics of Liquid Metal in Fusion Liquid Walls Using Maxwell-Navier-Stokes Equations
  Suresh Murugaiyan
  View Dissertation
• A Comprehensive Study on Modeling Requirements into Value Formulation in a Satellite System Application
  Suresh Murugaiyan
  View Dissertation

Conferences

• A Pressure Projection Approach within the Variational Multiscale Framework for Navier-Stokes Equations
  Suresh Murugaiyan, Biswajit Khara, Mehdi Shadkhah, Ming-Chen Hsu, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
  Presented at 78th Annual Meeting of the APS Division of Fluid Dynamics, Houston, Texas, USA, November 2025
  View Abstract
• Characterization of Non-Newtonian Materials Using Droplet Rise Simulations
  Suresh Murugaiyan, Cheng-Hau Yang, Dhruv Gamdha, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
  Presented at 18th U.S. National Congress on Computational Mechanics (USNCCM18), Chicago, Illinois, USA, July 2025
  View Abstract
• Towards high-fidelity 3D fluid simulations: neural operators with physics constraints for flow around complex geometries
  Ali Rabeh, Suresh Murugaiyan, Adarsh Krishnamurthy, Baskar Ganapathysubramanian
  Presented at 18th U.S. National Congress on Computational Mechanics (USNCCM18), Chicago, Illinois, USA, July 2025
  
• Large Eddy Simulation of Magnetohydrodynamic Turbulence
  Suresh Murugaiyan, Bhuvana Srinivasan, Stefano Brizzolara
  Presented at AGU Fall Meeting, San Francisco, California, USA, December 2019
  View Abstract
• Response of the Free Surface of an Electrically Conducting Liquid to a Magnetic Field
  Suresh Murugaiyan, Colin Adams, Bhuvana Srinivasan, Stefano Brizzolara
  Presented at 72nd Annual Meeting of the APS Division of Fluid Dynamics, Seattle, Washington, USA, November 2019
  View Abstract
• Incompressible Flow of Conducting Fluids in Presence of Electric and Magnetic Fields Using Electric Potential Formulation
  Suresh Murugaiyan, Bhuvana Srinivasan, Stefano Brizzolara
  Presented at the 12th European Fluid Mechanics Conference (EFMC12), Vienna, Austria, September 2018
  View Abstract
• A Comprehensive Study on Modeling Requirements into Value Formulation in a Satellite System Application
  Suresh Murugaiyan, Hanumanthrao Kannan, Bryan L. Mesmer, Ali E. Abbas, Christina L. Bloebaum
  Presented at the 14th Annual Conference on Systems Engineering Research (CSER 2016), Huntsville, AL, USA, March 2016

Research Projects

Turbulent Flow Past an Airfoil
Oct 2025
Translational AI Center

• Simulated 3D turbulent flow over a NACA0012 airfoil at a chord Reynolds number of 6 million using a variational multiscale (VMS) finite element framework.
• Used VMS formulation to separate resolved and subgrid scales, enabling turbulence modeling through variational projection without empirical closure models.
• Obtained surface pressure and flow structures in good agreement with NASA CFL3D data, capturing coherent vortical features near the airfoil surface.

Simulation of Droplet Dynamics in Non-Newtonian Fluids
Oct 2025
Translational AI Center

• Used Cahn-Hilliard-Navier-Stokes (CHNS) framework to simulate how a non-Newtonian DLP (Digital Light Processing) resin rises through another immiscible fluid.
• Trained a neural network to learn the viscosity-shear rate relationship directly from data, with Lipschitz regularization to suppress overfitting.
• Employed Octree-based adaptive mesh refinement within the finite element framework to efficiently capture interface dynamics.

Modeling the Dynamics of Liquid Metal in Fusion Liquid Walls Using Maxwell-Navier-Stokes Equations
Dec 2023
Virginia Tech

• Developed a novel Maxwell-Navier-Stokes solver, written in C, for single and two-phase flow problems in the presence of electromagnetic fields.
• Reformulated Maxwell's equations in their potential form to accurately represent the fusion liquid wall under study.
• Incorporated the skin effect due to eddy currents, enabling precise representation of fluid behavior in unsteady electromagnetic conditions.

Impact of Transverse Magnetic Fields on the Flow of Electrically Conducting Liquids
Dec 2018
Associated with Virginia Tech

• Developed a custom solver in OpenFOAM to investigate the effects of transverse magnetic fields on the flow of electrically conducting liquids, using electric potential formulation for Magneto-hydrodynamics.
• Assessed how distributed Lorentz forces alter velocity and pressure distribution.
• Conducted a parametric study to evaluate the impact of the Hartmann number on flow behavior.

A Comprehensive Study on Modeling Requirements into Value Formulation in a Satellite System Application
Dec 2016
Iowa State University

• Specialized in the design of complex systems and optimization, with a focus on heuristic coding techniques.
• Explored the transition from traditional requirements-based design to value-based design in large-scale systems, illustrated by a satellite system.
• Conducted sensitivity and uncertainty analyses to identify high-impact requirements on system value.

Experimental and Computational Studies on the Performance of Air-Breathing PEM Fuel Cell
Dec 2011
PSG College of Technology

• Conducted comprehensive research on air-breathing PEM fuel cells, spanning theoretical studies, experimental evaluations, and flow field plate optimizations.
• Developed a 3D computational model using FLUENT, focusing on performance metrics and individual loss factors for ducted and planar cathode designs.

Experience

Translational AI Center (TrAC), Iowa State University
Postdoctoral Research Associate
Aug 2024 – Present
Ames, Iowa, United States

Larsen & Toubro Limited (L&T)
Research and Development Engineer
Jul 2011 – Jul 2014
Chennai, Tamil Nadu, India

Indian Institute of Technology
Summer Research Fellow
May 2010 – Jun 2010
Chennai, Tamil Nadu, India