Pinaki Pal

According to our database, Pinaki Pal authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems.

Kiran K. Yalamanchi, Shivam Barwey, Ibrahim Jarrah, Pinaki Pal

CoRR, April, 2026

A unified framework for synchronization optimization in directed multiplex networks.

Anath Bandhu Das, Pinaki Pal

CoRR, April, 2026

2025

Mesh-based Super-resolution of Detonation Flows with Multiscale Graph Transformers.

Shivam Barwey, Pinaki Pal

CoRR, November, 2025

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, April, 2025

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

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

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

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

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

Forward Gradients for Data-Driven CFD Wall Modeling.

Jan Hückelheim, Tadbhagya Kumar, Krishnan Raghavan, Pinaki Pal

CoRR, 2023

2021

A Neural Ordinary Differential Equations Approach for Chemical Kinetics Solvers.

Opeoluwa Owoyele, Pinaki Pal

CoRR, 2021

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

2020

Application of a novel machine learning based optimization algorithm (ActivO) for accelerating simulation-driven engine design.

Opeoluwa Owoyele, Pinaki Pal

CoRR, 2020