Mapping of Liquid Formulation Stability and Structure using Machine-Learning Driven Autonomous Experimentation

We will use our recently developed platform, the "Autonomous Formulations Laboratory" (AFL), to map the phase behavior of several commercially important soft material systems. Our system uses machine learning to intelligently select which compositions to measure, autonomously prepares samples using a pipetting robot, pumps them into a neutron beam, and then processes the data in a closed loop. Using the AFL, we will be able to more accurately and quickly map complex phase spaces enabling the study of complex mixtures with many components.