Fig. 1: Defining a feasible parameter space through automated pipetting robot and support-vector machine (SVM) classifier.
From: Machine intelligence accelerated design of conductive MXene aerogels with programmable properties
a Schematic illustration of the fabrication process of conductive aerogels accelerated by an automated pipetting robot (i.e., OT-2 robot). Four building blocks were incorporated, including MXene nanosheets, cellulose nanofibers (CNFs), gelatin, and glutaraldehyde (GA). By adjusting the MXene/CNF/gelatin/GA ratios and the mixture loadings (i.e., solid contents of aqueous mixtures), the mechanical and electrical properties of conductive aerogels were controlled. b 264 MXene/CNF/gelatin aerogels with different grades based on their structural integrity and monolithic nature. c Four heatmaps showcasing the possibilities of producing A-grade conductive aerogels at specific MXene/CNF/gelatin ratios and mixture loadings. d C 1 s XPS spectra of two MXene/CNF aerogels (at the 80/20 ratio and 10 mg mL–1) with and without the GA incorporation.
