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Pinaki Pal

Research Scientist


Dr. Pinaki Pal is a research scientist in Argonne’s Energy Systems division. His research interests broadly lie in the areas of computational fluid dynamics (CFD), turbulent combustion modeling, machine learning, computational science, and high-performance computing, for a wide range of applications, such as propulsion (automotive and aerospace) and material synthesis.

At Argonne, he developed a turbulent combustion modeling framework to capture knocking combustion and extended the state-of-the-art models by incorporating fuel composition effects on turbulent flame propagation. He also co-led the development of novel machine learning algorithms to accelerate turbulent combustion simulations and design optimization. This work led to four software copyrights and one patent (pending). In addition, Dr. Pal initiated and led the computational research effort at Argonne pertaining to numerical modeling and design of rotating detonation engines (RDEs), which are promising candidates for power generation and hypersonic propulsion. He received the Impact Argonne (formerly Pacesetter) Award in 2019 for this R&D contribution.

Dr. Pal’s current research topics of interest include:

  1. CFD modeling and analysis of combustion dynamics in rotating detonation engines (RDEs)
  2. Deep learning techniques for accelerating turbulent combustion simulations
  3. Analysis of stochastic cycle-to-cycle combustion variability in spark-ignition engines using large-eddy simulations (LES) and machine learning
  4. Application of machine learning, CFD, and HPC, for rapid optimization in high-dimensional design spaces
  5. Data-driven reduced order models (ROMs) for turbulent flows
  6. Numerical investigation of fuel effects on gasoline compression ignition (GCI)
  7. Development of non-equilibrium wall models and combustion models in a high-order spectral element CFD code, Nek5000, for multi-mode engine simulations
  8. Computational modeling and analysis of nanoparticle synthesis in flame spray pyrolysis (FSP) reactors

Dr. Pal received his PhD from University of Michigan-Ann Arbor (2015) in Mechanical Engineering, with specialization in turbulent combustion modeling and CFD for low temperature combustion applications in both internal combustion engines and gas turbines. He also holds a Bachelor of Technology in Mechanical Engineering from the Indian Institute of Technology Kharagpur (India) (2011).