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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. Dr. Pal received his PhD from University of Michigan-Ann Arbor (2015) in Mechanical Engineering, with specialization in turbulent
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Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines

Jihad Badra , Pinaki Pal , Sibendu Som , Yuanjiang Pei

Elsevier

2022-01-05

epub sans DRM

Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments inArtificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion...

184,63 €

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