Fig. 3: Optimization and synthesis of Au nanorods (Au NRs) using the A* algorithm.
From: A chemical autonomous robotic platform for end-to-end synthesis of nanoparticles
a Process diagram of the A* algorithm for Au NRs optimization. The heuristic function adopts the upper confidence bound (UCB) strategy. A–D are hyperparameters. b Normalized UV-vis spectra of Au NRs with optimized longitudinal surface plasmon resonance (LSPR) peaks (50 nm intervals, 600–900 nm). c–i TEM images of final Au NRs products at different LSPR intervals (scale bar = 100 nm). j–p The parameters searching process by A* algorithm on the LSPR of Au NRs. The SLSPR value is the algorithm’s calculation of the potential value of parameter points before the experiment, while the ZLSPR value is the algorithm’s evaluation of the proximity of parameter points to the target LSPR after the experiment.
