Schedule 

Offline readings

​8:00-9:00 am

9:00-9:15 am

9:15-10:15 am

10:15-10:30 am

10:30-12:00 pm

12:00-1:00 pm

1:00 - 2:00 pm

2:00-2:15 pm

2:15 - 3:15 pm

3:15 - 3:30 pm

3:30 - 5:00 pm

  See Lecture notes 

​​Lecture 1: Training constitutive laws with supervised learning (Instructor: Sun) [Slide][Video]

Break

Lecture 2: Reduced-order modeling for fractures and thermal fatigues (Instructor: Chen) [Slide][Video]

Break

Lab Session 1: Convolutional Neural Networks (CNNs) for Crack Detection (Instructor: He) [Video]

Lunch

Lecture 3: Manifold learning and auto-encoders in nonlinear materials modeling (Instructor: Chen) [Slide][Video]

Break

Lecture 4: Deep reinforcement learning for knowledge graph based models (Instructor: Sun) [Slide][Video]

Break

Lab Session 2:  Generating constitutive laws from sub-scale DNS simulations (Instructor: Vlassis & Yin) [Video]