Senthil K. Krishnababu

According to our database, Senthil K. Krishnababu authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Physics-Informed Neural Networks for Industrial Gas Turbines: Recent Trends, Advancements and Challenges.

Afila Ajithkumar Sophiya, Sepehr Maleki, Giuseppe Bruni, Senthil K. Krishnababu

CoRR, June, 2025

A comprehensive analysis of PINNs: Variants, Applications, and Challenges.

Afila Ajithkumar Sophiya, Akarsh K. Nair, Sepehr Maleki, Senthil K. Krishnababu

CoRR, May, 2025

C(NN)FD - Deep Learning Modelling of Multi-Stage Axial Compressors Aerodynamics.

Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

CoRR, March, 2025

2024

C(NN)FD - A Deep Learning Framework for Turbomachinery CFD Analysis.

Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

IEEE Trans. Ind. Informatics, August, 2024

2023

Deep learning modelling of tip clearance variations on multi-stage axial compressors aerodynamics.

Giuseppe Bruni, Sepehr Maleki, Senthil K. Krishnababu

CoRR, 2023