We are seeking a highly motivated individual to investigate the potential of Physics-Informed Neural Networks (PINNs) in fluid dynamics. This project involves a comprehensive literature review, highlighting promising use cases for up-sampling and accelerating simulations.
Literature Review
* Research the current state of PINNs in fluid dynamics
* Analyze existing methods for up-sampling and acceleration
Case Study
* Apply PINNs to 3D fluid dynamics data using a provided dataset
* Implement a Python solution leveraging TensorFlow or PyTorch
Your Profile
* Ongoing studies in Mechanical Engineering, Data Science, Informatics, or similar fields
* Experience in Python coding
* Knowledge of Data Science and Fluid Dynamics is beneficial
About Us
We offer a unique opportunity to immerse yourself in the world of fluid dynamics and apply cutting-edge techniques to real-world problems. Our team provides guidance and support throughout the project.
Successful completion of the project results in a one-time fee. We look forward to receiving your application.