Learn AI Create the Future — with Pranay
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AI in the Real World Section 113

AI for Science and Engineering

Using models to replace expensive simulations and experiments, where a number without an error bar is useless.

Every lesson in this section is written by .

9 of 9 lessons published Three reading levels on every lesson

Start with “Surrogate models for simulation”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. Surrogate models for simulation
  2. Physics-informed neural networks
  3. Neural operators
  4. Machine-learned interatomic potentials
  5. Predicting molecular properties
  6. Protein structure prediction
  7. Generative design of molecules
  8. Machine learning on genomic data
  9. Choosing the next experiment to run