191x Filetype PPTX File size 2.06 MB Source: optimallearning.princeton.edu
Materials design and optimization A major goal of the Materials Genome Initiative and “Materials-by- Design” is the acceleration of materials property optimization. 2 Learning properties of a material Another important problem is to learn the underlying Kinetic pathways of controlled release physics of a new material or system Materials specific physical parameters Dominant processes during fabrication or reactions to Compositional Ripening external stimuli. Optimization and learning Coalescence with external phase are two sides to the same Adsorption coin. In order to do either, we need to perform experiments to obtain Flocculation Coalescence Droplet-droplet coalescence measurements that tell us information about the system. Robot Scientist Autonomy in basic scientific exploration. How can a robot decide on the next experiment to run, given some objective? “Adam,” R. King et al. Aberystwyth University Common theme What experiments to run? What are we learning? How do we consider our ultimate objective when answering these questions? How do we deal with uncertainty? Compositional Ripening Coalescence with external phase Adsorption Flocculation Coalescence Droplet-droplet coalescence Experiments are expensive and uncertain Experiments are expensive: Release profile for HRP in 1 mg/ml BSA external and internal (5% PLGA) A single experiment can take 100 % released % released 24 hours later % released 48 hours later a day to as long as a month % released 72 hours later 75 % released 96 hours later of laboratory time. d e s a Experiments are noisy: e l e r50 P R repeated observations can H % produce different outcomes. 25 Experimental decisions are complex 0 0 25 50 75 100 E.g. select from among Time (hours) hundreds of catalysts, while simultaneously tuning Double emulsion Vortex Speeds temperatures, pressures and fabrication: concentrations. PLGA Set of experiments can become Water Water combinatorially large. & Solve HRP, BSA, Volume nt BSA, Volume PLGA, Volume
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