The National Security mission at the lab supports advanced technology needs of the nation. We support some of the advanced needs for the Departments of Defense, Homeland Security, Justice, State, EPA as well as international partners and state governments. LLNL excels in programs for High Explosives, Sensors, Space missions, Materials, Intelligence, Forensic Sciences, High Performance Simulation and Computing. The LLNL facilities have some of the largest research labs in the nation spread over several thousand acres.
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LLNL, Penn State, Columbia University, Tufts University, University of Kentucky, Purdue University and industry partner Western Rare Earths will use microbial and biomolecular engineering to develop a scalable bio-based separation and purification strategy for rare-earth elements
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.
Skywing is an open-source, robust, real-time, decentralized software platform developed for domain scientists, mathematicians and computer scientists exploring collaborative-autonomy applications for critical infrastructure. It provides approaches and solutions for real-world applications that solve problems and allow for confidence in the results.
LLNL is seeking industry partners to collaborate on quantum science and technology research and development in the following areas: quantum-coherent device physics, quantum materials, quantum–classical interfaces, computing and simulation, and sensing and detection.
Livermore Lab researchers have developed a tunable shaped charge which comprises a cylindrical liner commonly a metal such as copper or molybdenum but almost any solid material can be used and a surround layer of explosive in which the detonation front is constrained to propagate at an angle with respect to the charge axis. The key to the concept is the ability to deposit a…
Livermore Lab researchers have developed a method that combines additive manufacturing (AM) with an infill step to render a final component which is energetic. In this case, AM is first used to print a part of the system, and this material can either be inert or energetic on its own. A second material is subsequently added to the structure via a second technique such as casting, melt…
3D printing involves the layer-by-layer deposition of one, or more, materials. The spatial placement of the material, if carefully controlled, can influence a desired static or dynamic property. The use of 3D printing to build complex and unique energetic components is at the center of LLNL’s architected energetic materials and structures effort. LLNL has developed several different methods…
LLNL has developed a wide band (WB) ground penetrating radar (GPR) technology to detect and image buried objects under a moving vehicle. Efficient and high performance processing algorithms reconstruct images of buried or hidden objects in two or three dimensions under a scanning array. The technology includes a mobile high-performance computing system allowing GPR array sensor data to be…
GuardDog technology uses ultra-wideband (UWB) impulse sensors (also known as micropower impulse radar or MIR), optional global positioning systems (GPS), local signal processing, and user-selectable (power and bandwidth) radio frequency (RF) communication transceivers. UWB sensors emit and detect very-low-amplitude and short-voltage impulses for detecting returning radar signals. By employing…
The HERMES bridge inspector is an ultrawideband-based nondestructive evaluation (NDE) system. The LLNL-developed system provides 3-D ground penetrating radar information. An array of micropower impulse radar (MIR) sensors is mounted under a trailer. Reflected radar data is gathered by driving the trailer over a bridge at 55 mph and 3-D image maps of the internal structure of the bridge deck…
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…
This technology provides algorithms that accurately localize small-arm-fire by tracking bullets from high-powered weapons, automatic rifles, rocket propelled grenades (RPGs), mortars, and similar projectiles. The software integrates commercially available infrared video cameras, processes raw imagery data, detects and tracks projectiles, and determines the location of the shooters within…