Autonomous laboratories for accelerated materials discovery: a community survey and practical insights
Linda Hung, Joyce A. Yager, Danielle R. Monteverde, Dave Baiocchi, Ha-Kyung Kwon, Shijing Sun, Santosh K. Suram
Abstract
We share the results of a survey on automation and autonomy in materials science labs, which highlight a variety of researcher challenges and motivations. We also propose a framework for levels of laboratory autonomy from L0 to L5.
Topics & Concepts
Variety (cybernetics)AutonomyData scienceAutomationEngineering ethicsComputer scienceManagement sciencePsychologyEngineeringPolitical scienceArtificial intelligenceMechanical engineeringLawMachine Learning in Materials ScienceElectronic and Structural Properties of Oxides