This portfolio was organized to group innovations that might not be categorized in the other portfolios. Instruments are full systems integrated to perform complex electrical or mechanical work. Sensors are devices that detect, measure, or locate a physical property. Electronics are devices that manipulate electrons or control electrical energy, and the manufacturing processes that fabricate them.
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Funded through DOE’s Unlocking Lasting Transformative Resiliency Advances by Faster Actuation of power Semiconductor Technologies (ULTRAFAST) program, LLNL researchers (in Engineering) will develop an optically-controlled semiconductor transistor to enable future grid control systems to accommodate higher voltage and current than state-of-the-art devices. (Award amount: $3,000,000) while LLNL licensee Opcondys will develop a light-controlled grid protection device to suppress destructive, sudden transient surges on the grid such as those caused by lightning and electromagnetic pulses. (Award amount: $3,178,977)
The Department of Energy’s Technology Transfer Working Group recently awarded two Lawrence Livermore National Laboratory (LLNL) employees with “Best in Class” awards during their May spring meeting in Washington, D.C.
A trio of LLNL scientists have been inducted into the laboratory's Entrepreneur's Hall of Fame. Each developed technologies during or after their Lab careers that created major economic impacts or spawned new companies.
The essence of this invention is a method that couples network architecture using neural implicit representations coupled with a novel parametric motion field to perform limited angle 4D-CT reconstruction of deforming scenes.
LLNL’s novel technology automates the inspection process by using a scanning system that captures data within the walnut shell without having to open the shell. The system output gives a visual image inside the walnut shell sufficient to evaluate and rate the quality of the walnut. The system uses a camara and radar that can capture data at a rapid rate. This improves speed and reliability…
The approach is to develop a solid-state X-ray imager based on the architecture of the Silicon Drift Detector (SDD) which uses a series of cathode strips on both sides of a silicon wafer to achieve bulk depletion and electron drift. The invention leverages this SDD functionality to achieve signal stretching of liberated charge carriers from X-Ray photons that converts the time domain into the…
LLNL’s novel approach is to use a continuous moving camera with a scan speed of >1 mm/sec and a frame rate of 100 frames per second. The key is to have a light source that flashes with a duration of one nanosecond, thus essentially freezing the image with no blur. Clear images of high resolution can then be captured through a high-magnification objective lens (reflection mode) or through…
LLNL’s approach to the development of a wide-field, three-dimensional quantum (3DQ) microscope is to harness quantum entangled photons to form simultaneous 3D optical images, which could be a new paradigm for 3D volumetric imaging of biological specimens. The 3DQ microscope is comprised of a novel optical system with highly sensitive detectors and an on-demand light source of entangled…
To solve these challenges using new and existing CT system designs, LLNL has developed an innovative software package for CT data processing and reconstruction. Livermore Tomography Tools (LTT) is a modern integrated software package that includes all aspects of CT modeling, simulation, reconstruction, and analysis algorithms based on the latest research in the field. LTT contains the most…
LLNL's 3D X-ray imager combines two different hardware pieces. The first is an x-ray optic with a depth-of-field that is small compared to the object under investigation. Reflective Wolter type x-ray optics are one such design. These hollow optics have a relatively large collection efficiency and can be designed with a large field of view. The depth of focus, which is the distance over which a…
LLNL's high fidelity hydrocode is capable of predicting blast loads and directly coupling those loads to structures to predict a mechanical response. By combining this code and our expertise in modeling blast-structure interaction and damage, along with our access to experimental data and testing facilities, we can contribute to the design of protective equipment that can better mitigate the…