Generative AI for Science

J. Paul Liu

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Table of Contents

Generative AI for Science

From the Author
Chapter 1 — Generative AI: A New Frontier for Scientific Discovery
Chapter 2: Generative AI Fundamentals
Chapter 3: Scientific Data & Workflows
Chapter 4: Text, Code & Knowledge Generation for Scientists
Chapter 5: Data-to-Data Models
Chapter 6: Physics-Informed AI and Simulation
Chapter 7: Domain Applications in Chemistry, Biology, Physics and Geoscience
Chapter 8: Fine-Tuning & Domain Adaptation
Chapter 9: Multimodal Generative AI for Sciences
Chapter 10: Evaluation, Validation & Benchmarking
Chapter 11: Ethics & Responsible AI for Science
Chapter 12: Deployment & MLOps for Scientific Applications
Chapter 13: Future Directions & Conclusion
Acknowledgements

Generative AI for Science/Acknowledgements

Acknowledgements

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Acknowledgements