Search Results
PINNs in mechanics || Multifidelity continual learning || Seminar on March 10, 2023
PINNs || Deep ReLU Neural Networks|| Seminar on: December 23, 2022
Mohammad Mahdi Rajabi: Introduction to Physics-Informed Neural Networks: Methods, Tools, and Trends
Continuous-Time Reinforcement Learning || PI-DeepONet || Seminar on: April 16, 2021.
PINNs for Nuclear power plants || GPT-PINNs || Seminar on August 18, 2023
Model Discovery via Stochastic Thermomechanics || Seminar on: March 17, 2023
CEE316 Guest Lecture 3: Supervised learning for elasticity with physics constraints
Deep partcle method || PIML for fluid systems || Seminar on March 24, 2023
Cell phenotypic transition dynamics||PI, noise-aware, and equality Constrained NN|| Aug 26,2022
Transfer Learning on Multi-Fidelity Data || Physics Informed Multimodal Autoencoders || Jan 28, 2022
DDPS | Scientific Machine Learning through the Lens of Physics-Informed Neural Networks
Physics-informed neural networks for fluid mechanics
