Foundational Neural PDE Solvers

Professor: Aparna Chandramowlishwaran

Description: This project’s goal is to design and train foundational models for neural PDE solvers that can generalize to a larger-class of problems than possible today.

Preferred Qualifications: Strong foundations in Python, PyTorch and Machine Learning is required. Knowledge of PDEs and SciML is optional but a bonus.