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Technology Portfolios
![graphic_of_simulation.png graphic_of_simulation](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/graphic_of_simulation.png?itok=eyhMWp8B)
![Machine Learning for Monitoring microfluidic microcapsules](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Machine%20Learning%20for%20Monitoring%20microfluidic%20microcapsules%20875_0.jpg?itok=cLdsZh03)
![drift_meter_thumb.jpg drift_meter_thumb](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/drift_meter_thumb.jpg?itok=1NiNsyHm)
LLNL’s Optically-based Interstory Drift Meter System provides a means to accurately measure the dynamic interstory drift of a vibrating building (or other structure) during earthquake shaking. This technology addresses many of the shortcomings associated with traditional strong motion accelerometer based building monitoring.
LLNL’s discrete diode position sensitive device is a newly…
![Electronic Wave](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/electronic%20wave.jpg?itok=v7aKMJKH)
The invention relates to a measurement method and system for capturing both the amplitude and phase temporal profile of a transient waveform or a selected number of consecutive waveforms having bandwidths of up to about 10 THz in a single shot or in a high repetition rate mode. The invention consists of an optical preprocessor which can then output a time-scaled replica of the input signal to…