5 papers
Real-time Multi-instrument Autonomous Discovery of Novel Phase-change Memory Materials
Chih-Yu Lee, Haotong Liang, Ryan Kim +4
Autonomous labs enable the integration of automated experiment execution, data analysis and decision making. The main challenge remains the integration of diverse data streams from…
Autonomous epitaxial atomic-layer synthesis via real-time computer vision of electron diffraction
Haotong Liang, Yunlong Sun, Ryan Paxson +8
Autonomous science platforms which make decisions on the fly are fundamentally changing the outlook for materials development. AI-driven schemes can effectively reduce the total nu…
Quantum Kernel Machine Learning for Autonomous Materials Science
Felix Adams, Daiwei Zhu, David W. Steuerman +2
Autonomous materials science, where active learning is used to navigate large compositional phase space, has emerged as a powerful vehicle to rapidly explore new materials. A cruci…
Autonomous Small-Angle Scattering for Accelerated Soft Material Formulation Optimization
Tyler B. Martin, Duncan R. Sutherland, Austin McDannald +2
The pace of soft material formulation (re)development and design is rapidly increasing as both consumers and new legislation demand products that do less harm to the environment wh…
Real-time experiment-theory closed-loop interaction for autonomous materials science
Haotong Liang, Chuangye Wang, Heshan Yu +6
Iterative cycles of theoretical prediction and experimental validation are the cornerstone of the modern scientific method. However, the proverbial "closing of the loop" in experim…