As an important step toward overcoming the technical and environmental limitations of current REE processing methods, the LLNL team has patented and demonstrated a biobased, all-aqueous REE extraction and separation scheme using the REE-selective lanmodulin protein. Lanmodulin can be fixed onto porous support materials using thiol-maleimide chemistry, which can enable tandem REE purification…
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![Novel Protein-based Method for REE Separation](/sites/default/files/styles/scale_exact_400x400_/public/2024-06/Novel%20Protein-based%20Method%20for%20REE%20Separation.png?itok=It5_LQAz)
![4D Computed Tomography Reconstructions](/sites/default/files/styles/scale_exact_400x400_/public/2024-05/4D%20Computed%20Tomography%20Reconstructions.png?itok=62nJWKhK)
LLNL’s Distributed Implicit Neural Representation (DINR) is a novel approach to 4D time-space reconstruction of dynamic objects. DINR is the first technology to enable 4D imaging of dynamic objects at sufficiently high spatial and temporal resolutions that are necessary for real world medical and industrial applications.
![Stock image of 3d render of network made of wind turbines, solar panels, battery and house](/sites/default/files/styles/scale_exact_400x400_/public/2024-04/Renewable_energy_storage.png?itok=IKjZECec)
LLNL researchers have designed and produced, both conductive and non-conductive porous electrode components manufactured for improved metal deposition, discharging, and fluid dynamics in hybrid flow batteries. This is achieved through Direct Ink Writing (DIW) additive manufacturing. The engineered 3D electrodes enable uniform current distribution and even metal deposition during charging…
![CT Scanner Adobe Stock Image](/sites/default/files/styles/scale_exact_400x400_/public/2024-03/CT%20Scanner.jpeg?itok=tHCxNWpA)
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.
![Powder in Chemical Watch Glass](/sites/default/files/styles/scale_exact_400x400_/public/2023-12/gray%20powder.jpeg?itok=u_5ZtG7H)
LLNL researchers have developed a Li-Sn-Zn ternary alloy and its method of production. Instead of traditional alloying techniques, the alloy was synthesized using mechanical alloying (high energy ball milling). With high purity elemental powders of lithium, tin and zinc, LLNL researchers were able to prepare Li60Sn20Zn20 as well as Li70Sn20Zn10 nanopowders.
![multi-spectral nondestructive characterization of in-shell tree nuts](/sites/default/files/styles/scale_exact_400x400_/public/2023-11/multi-spectral%20nondestructive%20characterization%20of%20in-shell%20tree%20nuts.png?itok=-W2LFRIH)
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…
![solid state streak detector](/sites/default/files/styles/scale_exact_400x400_/public/2023-10/Solid%20State%20Streak%20Detector.png?itok=4t6vjY-r)
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…
![Electrodeposition of Zn onto 3D printed copper nanowire (CuNW)](/sites/default/files/styles/scale_exact_400x400_/public/2023-07/ElectrodepositionofZnon3dprintedCuNW.jpg?itok=2G2D1kt9)
Improving the active material of the Zn anode is critical to improving the practicality of Zn-MnO2 battery technology. LLNL researchers have developed a new category of 3D structured Zn anode using a direct-ink writing (DIW) printing process to create innovative hierarchical architectures. The DIW ink, which is a gel-based mixture composed of zinc metal powder and organic binders, is extruded…
![Livermore researchers support efforts to limit the need for rare-earth elements in U.S. clean-energy technologies.](/sites/default/files/styles/scale_exact_400x400_/public/2023-07/Reducing%20Reliance%20on%20Critical%20Materials.png?itok=IuC6bH4r)
CMI—a DOE Energy Innovation Hub—is a public/private partnership led by the Ames Laboratory that brings together the best and brightest research minds from universities, national laboratories (including LLNL), and the private sector to find innovative technology solutions to make better use of materials critical to the success of clean energy technologies as well as develop resilient and secure…
![Schematic of LLNL’s Fast Image Acquisition System](/sites/default/files/styles/scale_exact_400x400_/public/2023-06/Fast%20Image%20Acqusition%20System.png?itok=HFyr-Goi)
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…
![3DQ Concept: Use two 2D detectors to enable detection of 3D position for the same event.](/sites/default/files/styles/scale_exact_400x400_/public/2023-05/3DQ%20Concept.png?itok=hPgLZTTl)
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…
![Livermore Tomography Tools LTT](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/LTT.jpg?itok=cQE9Kpef)
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…
![Livermore Tomography Tools LTT](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/LTT.jpg?itok=cQE9Kpef)
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…
![multichannel_pyrometer.jpg multichannel_pyrometer](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/multichannel_pyrometer.jpg?itok=x0sCe_BN)
LLNL researchers have designed and tested performance characteristics for a multichannel pyrometer that works in the NIR from 1200 to 2000 nm. A single datapoint without averaging can be acquired in 14 microseconds (sampling rate of 70,000/s). In conjunction with a diamond anvil cell, the system still works down to about 830K.
![Marine helmet](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Marine%20helmet-inside.jpg?itok=8W_dqpgI)
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…