ML4EA

Part 2 · Chapter 12

Generative Models

Surveys probabilistic and neural approaches that generate data, designs, and engineering assistance, including VAEs, GANs, diffusion models, and LLMs.

Chapter map

What this chapter develops

  • Generative modeling concepts
  • Variational autoencoders
  • Generative adversarial networks
  • Diffusion models
  • Large language models
  • Engineering validation

Engineering practice

Application and Diamond Examples

  1. 01

    VAE sensor anomaly detection

  2. 02

    GAN surface-defect augmentation

  3. 03

    Diffusion-based microstructure synthesis

  4. 04

    LLM copilot for cantilever beam sizing

Companion materials

Portal resources

Chapter catalogFind this chapter’s indexed examples and related topics.Application Example catalogOpen 4 validated notebooks with a verified portal account.AE datasetsReview dataset sources and generation details for this chapter's Application Examples.DiscussionAsk chapter-specific questions and compare engineering interpretations with other readers.