Vivek Oommen
Vivek Oommen

PhD Student

About Me

I am a fourth year PhD student in the Fluid & Thermal Sciences Engineering, Brown University, advised by Prof. George Karniadakis.

Interests
  • AI for Science
  • Fluids
  • Materials
  • Mechanics
Education
  • PhD Fluid and Thermal Sciences

    Brown University

  • Dual Degree Mechanical Engineering and Data Science

    IIT Madras

📚 My Research
I’m a fourth-year PhD student at Brown University, working with Prof. George Em Karniadakis in the CRUNCH Group. I’m interested in the recent machine learning advancements to tackle problems in physical and engineering systems. My research focuses on neural operators, diffusion models, physics-informed machine learning, and their applications in mechanics, fluid dynamics, and material science.
Recent Publications
(2024). Rethinking materials simulations: Blending direct numerical simulations with neural operators.
(2024). RiemannONets: Interpretable neural operators for Riemann problems.
(2023). Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO). arXiv.
(2023). Deep neural operators can serve as accurate surrogates for shape optimization: a case study for airfoils.
(2023). GPT vs Human for Scientific Reviews: A Dual Source Review on Applications of ChatGPT in Science.