This LLNL invention proposes a new microstructured large mode area fiber design that enhances the confinement of the core mode while strongly suppressing thermal or scattering mediated dynamic couplings with higher order modes thought to be responsible for generating undesirable Transverse Mode Instabilities. The design accomplishes higher order mode suppression and core mode confinement by…
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
Livermore Lab's SBC grating optics benefit from the combination of the following key technologies:
- LLNL proprietary optical coating designs utilizing >100 thin film layers – enables ultra-low-loss, ppm transmission levels through the coating, high diffraction efficiency, and large bandwidth.
- LLNL proprietary dispersive surface relief structure…
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…