LLNL researchers have discovered that some inexpensive and commercially available molecules used for other applications, could render certain lanthanide and actinide elements highly fluorescent. These molecules are not sold for applications involving the detection of REEs and actinides via fluorescence. They are instead used as additives in cosmetic products and/or in the pharmaceutical…
Image
Livermore researchers have developed a method for implementing closed-loop control in extrusion printing processes by means of novel sensing, machine learning, and optimal control algorithms for the optimization of printing parameters and controllability. The system includes a suite of sensors, including cameras, voltage and current meters, scales, etc., that provide in-situ process monitoring…
Image
LLNL researchers have developed a system that relies on machine learning to monitor microfluidic devices. The system includes (at least) a microfluidic device, sensor(s), and a local network computer. The system could also include a camera that takes real-time images of channel(s) within an operating microfluidic device. A subset of these images can be used to train/teach a machine learning…