Fazel Bateni

Papers

Total Citations

135

H-Index

About

Fazel Bateni is a researcher at the forefront of autonomous materials synthesis and artificial intelligence-driven nanomaterial discovery, with a particular focus on quantum dots and metal halide perovskite nanocrystals. His work sits at a compelling intersection of robotics, flow chemistry, and machine learning, pioneering the development of self-driving laboratory platforms capable of autonomously navigating complex synthesis parameter spaces. Bateni's most celebrated contributions include his work on the "Artificial Chemist" platform, an AI-operated robo-fluidic system that autonomously optimizes the formulation of lead halide perovskite quantum dots through continuous flow synthesis. This landmark research, which has garnered over 98 citations, demonstrated that autonomous robotic experimentation could dramatically accelerate materials discovery while minimizing resource expenditure. His subsequent work expanded this vision further with Rainbow, a multi-robot self-driving laboratory designed for collaborative, scalable nanocrystal optimization. With a growing citation record reflecting significant influence in the field, Bateni's research is shaping how scientists approach the discovery and manufacturing of next-generation nanomaterials. His efforts represent a transformative step toward fully automated, data-driven chemistry, offering immense promise for applications in lighting, displays, and photovoltaics.