Explore a groundbreaking conference talk on AI-assisted automated chemical synthesis planning and execution. Delve into the integration of artificial intelligence and robotic automation to streamline the complex process of organic molecule synthesis. Learn how AI-driven synthesis planning, coupled with a robotically controlled experimental platform, aims to enhance productivity and alleviate chemists from routine tasks. Discover the system's use of a vast database of published chemical reactions to propose and validate synthetic routes in silico, optimizing resource utilization and reducing failed attempts. Understand the crucial role of expert chemists in refining implementation details and creating reusable recipe files. Examine the modular continuous-flow platform dynamically reconfigured by a robotic arm for precise and reproducible experimental execution. Witness the successful application of this computer-augmented chemical synthesis paradigm in synthesizing 15 drug or drug-like substances, showcasing its potential in pharmaceutical research and development. Gain insights into how this integration of AI planning, expert knowledge, and robotic execution represents a significant step towards a more efficient and automated future in chemical synthesis, potentially accelerating discovery and innovation in drug development, materials science, and organic chemistry.
Overview
Syllabus
Hanyu Gao: AI Assisted Automated Chemical Synthesis Planning and Execution #ICBS2024
Taught by
BIMSA