Dario Caramelli

Papers

Total Citations

200

H-Index

About

Dario Caramelli is a leading figure in the emerging field of autonomous chemical discovery, where artificial intelligence and robotics converge to revolutionize how new reactions and molecules are found. His research centers on developing intelligent, self-driving laboratories that can explore chemical space without direct human intervention. Caramelli’s major contributions include creating a reactivity-seeking neural network that drove an autonomous robotic platform to discover unpredictable, novel carbon-center chemistry—a breakthrough demonstrating that machines can uncover reaction methodologies beyond human intuition. He also pioneered the concept of networking chemical robots via the Internet of Things, enabling distributed, multitasking experimental workflows that dramatically accelerate synthesis. His most recent work, an integrated self-optimizing reaction engine, adapts in real-time using continuous sensor feedback to make, optimize, and discover new molecules. With his top papers garnering 77, 76, and 47 citations respectively, Caramelli’s impact is rapidly growing, positioning him at the forefront of a paradigm shift toward fully automated, AI-driven chemical research.