Overview
Part VI applies the techniques from earlier parts to specific scientific domains where AI is already transforming the pace and nature of discovery. Each chapter covers the unique data types, domain constraints, evaluation criteria, and breakthrough case studies for a major scientific field. From drug discovery and materials design to climate modeling and economic forecasting, these chapters show how domain knowledge and AI methods combine to solve problems that neither could tackle alone.
Chapters
Chapter 48
Biology and Medicine
Protein structure prediction, drug discovery, genomics, clinical trial optimization, and biomedical AI.
Chapter 49
Chemistry and Materials
Molecular design, retrosynthesis planning, materials discovery, and computational chemistry workflows.
Chapter 50
Physics and Engineering
AI for particle physics, fluid dynamics, structural engineering, and automated scientific instrumentation.
Chapter 51
Climate and Earth Science
Weather prediction, climate modeling, remote sensing analysis, and environmental monitoring with AI.
Chapter 52
Social and Economic Systems
Computational social science, economic modeling, policy simulation, and behavioral discovery.