Application of a novel machine learning based optimization algorithm (ActivO) for accelerating simulation-driven engine design. - Opeoluwa Owoyele; Pinaki Pal (CoRR, 2020)

An automated machine learning-genetic algorithm (AutoML-GA) approach for efficient simulation-driven engine design optimization. - Opeoluwa Owoyele; Pinaki Pal; Alvaro Vidal Torreira; Daniel Probst; Matthew Shaxted; Michael Wilde; Peter Kelly Senecal (CoRR, 2021)

A Neural Ordinary Differential Equations Approach for Chemical Kinetics Solvers. - Opeoluwa Owoyele; Pinaki Pal (CoRR, 2021)

Forward Gradients for Data-Driven CFD Wall Modeling. - Jan Hückelheim; Tadbhagya Kumar; Krishnan Raghavan; Pinaki Pal (CoRR, 2023)

A Posteriori Evaluation of a Physics-Constrained Neural Ordinary Differential Equations Approach Coupled with CFD Solver for Modeling Stiff Chemical Kinetics. - Tadbhagya Kumar; Anuj Kumar; Pinaki Pal (CoRR, 2023)

Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling. - Shivam Barwey; Riccardo Balin; Bethany Lusch; Saumil Patel; Ramesh Balakrishnan; Pinaki Pal; Romit Maulik; Venkatram Vishwanath (SC Workshops, 2024)

Computational Study on the Impact of Gasoline-Ethanol Blending on Autoignition and Soot/NOx Emissions under Gasoline Compression Ignition Conditions. - Krishna C. Kalvakala; Harsimran Singh; Pinaki Pal; Jorge P. Gonzalez; Christopher P. Kolodziej; Suresh K. Aggarwal (CoRR, 2024)

Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks. - Shivam Barwey; Pinaki Pal; Saumil Patel; Riccardo Balin; Bethany Lusch; Venkatram Vishwanath; Romit Maulik; Ramesh Balakrishnan (CoRR, 2024)

Generative Deep Learning Framework for Inverse Design of Fuels. - Kiran K. Yalamanchi; Pinaki Pal; Balaji Mohan; Abdullah S. AlRamadan; Jihad A. Badra; Yuanjiang Pei (CoRR, 2025)