48 citations · 66 across the 7 of their papers we have counts for
8 papers
Development and Validation of a Physics-Guided Machine Learning Extrapolation Framework Using a Classical Transient Diffusion Benchmark
Ashutosh Yadav, Alok Dubey, Prodyut Ranjan Chakraborty +1
Machine learning models used in engineering are typically trained within limited operating ranges, yet reliable predictions are often required beyond these domains. Consequently, t…
DD-RNO: A Domain-Decomposed Routed Neural Operator for Airfoil Flow Prediction
T. A. Mehta, P. S. Bhati, H. D. Akolekar
Deep learning surrogates for RANS flow prediction around airfoils face two persistent bottlenecks. A single neural architecture cannot simultaneously resolve sharp near-wall bounda…
Realizability-Constrained Machine Learning for Turbulence Closures in Wake Flows
Talib Ansari, Priyank H. Mehta, Harshal D. Akolekar
Computational fluid dynamics (CFD)-driven machine learning frameworks based on symbolic regression offer a promising pathway for turbulence model discovery, but are often hindered…
Enhancing Accuracy of Transition Models for Gas Turbine Applications Through Data-Driven Approaches
Harshal D. Akolekar
Separated flow transition is a very popular phenomenon in gas turbines, especially low-pressure turbines (LPT). Low-fidelity simulations are often used for gas turbine design. Howe…
Surface roughness effects in a transonic axial flow compressor operating at near-stall conditions
Prashant B. Godse, Harshal D. Akolekar, A. M. Pradeep
Surface roughness is a major contributor to performance degradation in gas turbine engines. The fan and the compressor, as the first components in the engine's air path, are especi…
"It's not like Jarvis, but it's pretty close!" -- Examining ChatGPT's Usage among Undergraduate Students in Computer Science
Ishika Joshi, Ritvik Budhiraja, Harshal D Akolekar +2
Large language models (LLMs) such as ChatGPT and Google Bard have garnered significant attention in the academic community. Previous research has evaluated these LLMs for various a…
"With Great Power Comes Great Responsibility!": Student and Instructor Perspectives on the influence of LLMs on Undergraduate Engineering Education
Ishika Joshi, Ritvik Budhiraja, Pranav Deepak Tanna +7
The rise in popularity of Large Language Models (LLMs) has prompted discussions in academic circles, with students exploring LLM-based tools for coursework inquiries and instructor…
ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions
Ishika Joshi, Ritvik Budhiraja, Harshal Dev +5
ChatGPT is an AI language model developed by OpenAI that can understand and generate human-like text. It can be used for a variety of use cases such as language generation, questio…