LLNL researchers developed and field-tested a biodegradable soil temperature sensor device that can be used in industry-scale agriculture. At the end...
Instruments, Sensors, and Electronics (ISE)
Integrated electronic systems and capabilities enabling high power electronics, wide-band gap semiconductors, security sensors, tunable diode laser absorption spectroscopy (TDLAS) and other instrumentation for physical or chemical measurement. Collaborate to combine high performance computing (HPC), artificial intelligence / machine learning, robotics, modeling / simulation software, advanced manufacturing techniques or lasers and optics in unique ways to create impact and advance microelectronics, advanced manufacturing, national security, fusion energy and more.
People
Capabilities
Microelectronics Fabrication and Integration
- Micro- and nanofabrication for electronics, semiconductors, MEMS, photonics, micro/nanostructures, implantable devices, and micro/nanoactuators.
- Cleanroom-based device fabrication, thin-film deposition, lithography, etching, packaging, assembly, and precision metrology.
Advanced Signal, Image, and Data Sciences
- Signal and image processing for advanced sensing, diagnostic systems, CT reconstruction, radiation detection, adaptive optics, computer vision, AI/ML, and quantum sensing.
- Center for Advanced Signal and Image Sciences (CASIS) — A collaborative hub for signal and image science, with technical focus areas that include adaptive optics, CT reconstruction and analysis, computer vision, video analytics, AI and machine learning, novel sensing, quantum sensing and information processing, radiation detection, and signal/image processing for NIF diagnostics.
Instrumentation, Imaging, and Nondestructive Characterization
- Instrumentation and imaging systems that combine detectors, data acquisition, modeling, simulation, algorithms, and high-performance computing.
- Nondestructive Characterization Institute (NCI) — A capability hub for instruments, detectors, data acquisition, algorithms, CT reconstruction, ultrasound, x-ray imaging, gamma-ray methods, microwave imaging, and quantitative understanding of materials and structures.
- NCI supports applications ranging from advanced manufacturing inspection to cargo screening and other security-relevant imaging challenges.
Fieldable Sensor Systems and Monitoring Applications
- Sensor-system development for fieldable applications, including environmental monitoring, structural health assessment, gas detection, radiation detection, and remote or persistent monitoring.
Energetic Material Simulations
- One of the most capable facilities of its kind in the world, High Explosives Applications Facility (HEAF) houses equipment and technology used by LLNL staff to apply expertise in formulation and synthesis, integrating high explosives (HE) experimental data with computer simulations to understand energetic materials.
Facilities
Explore Technologies
The approach is to use foundational materials science, structural design, thermal analysis, optic fabrication, and space systems engineering, and to...
LLNL developed a novel SOS diode structure starting with a n-type silicon wafer. On the appropriate sides of the wafer, donor and acceptor dopants...
LLNL researchers have developed an approach to form silicon carbide (and diamond) nanoneedles using plasma etching that create micro pillars followed...
The approach is to use appropriately doped semi-insulating gallium nitride to provide a high damage tolerant photoconductor with high responsivity to...
This LLNL invention introduces a technique for optimally detuning the ADC and signal clocks while maintaining synchronization between the two to...
LLNL researchers have developed a relatively large electrochemically active window with low sheet resistance yet has dramatically increased RF...
This LLNL invention is a wide bandgap (WBG) or ultra-wide bandgap (UWBG) material comprising a PCSS that is modified, either chemically through...
LLNL’s Distributed Implicit Neural Representation (DINR) is a novel approach to 4D time-space reconstruction of dynamic objects. DINR is the first...
LLNL researchers have developed a TDLAS-based, standalone, real-time gas analyzer in a small form-factor for continuous or single-point monitoring...
The essence of this invention is a method that couples network architecture using neural implicit representations coupled with a novel parametric...
A thyristor will stay conducting until the current through the device is zero (“current zero”) or perhaps slightly negative. LLNL’s approach is to use...
The researchers’ approach leverages the concept that dopants have high diffusivities in Ga2O3; the key lies in the selection of the appropriate dopant...
Design and construction of a photoconductive switch requires a diamond photoconductor illuminated by light of a certain excitation wavelength...
LLNL researchers has developed designs to augment WBG/UWBG-based OALVs to improve their power handling capability under CW operational environments...
LLNL researchers have developed a novel Radio Frequency Identification (RFID), tracking, powering system and method using coded Ultra-wideband (UWB)...
LLNL researchers have invented an ultrafast PCSS to drive a high-power laser diode with arbitrary pulse widths. These devices operate by supplying a...
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 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...
The approach is to leverage the fact that a momentary “load” equal to the power transmission line impedance, (Z0), during the transient can suppress...
LLNL’s novel approach is to use diamond substrates with the desired donor (nitrogen) and acceptor (boron) impurities. In order to optically activate...
Instead of producing individual DSRDs and bonding them, Tunnel DSRD's entire stack structure is grown epitaxially on a n- or p-type silicon wafer...
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...
U .S. Patent No. 11,555,965 describes LLNL’s invention of “Illumination Frustums” for photoconductive switches to capture and “frustrate” the light...
For cooling a high power device, the novel approach is to use a thermoelectric cooler (TEC)-based embedded substrate with proper selection of the TEC...
LLNL’s approach to the development of a wide-field, three-dimensional quantum (3DQ) microscope is to harness quantum entangled photons to form...
LLNL researchers faced this challenge by bridging the gap between VEDs and solid-state electronics (SSE). Their approach was to create a hybrid vacuum...
For this method, a Silicon on Insulator (SOI) wafer is used to tailor etch rates and thickness in initial steps of the process. The simple three step...
LLNL’s novel approach combines 2-color spectroscopy with CRDS, a combination not previously utilized. This second-generation CRDS system is comprised...
The approach is to use Charge Balance Layers (CBLs) to create a superjunction device in wide bandgap materials. These CBLs enable the device to...
The approach is to build a high voltage insulator consisting of two materials: Poly-Ether-Ether-Ketone (“PEEK”) and Machinable Ceramic (“MACOR”). PEEK...
Design and construction of a photoconductive switch requires a diamond photoconductor illuminated by light of a certain excitation wavelength. The...
The approach is to use a custom-designed frustrum and attach it to the optical fiber that connects to the PCSS. Light from the fiber enters the...
LLNL’s new method enhances the coherence of superconducting circuits by introducing a phononic bandgap around the system’s operating frequency...
To solve these challenges using new and existing CT system designs, LLNL has developed an innovative software package for CT data processing and...
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...
LLNL researchers have designed and tested performance characteristics for a multichannel pyrometer that works in the NIR from 1200 to 2000 nm. A...
LLNL has developed a reference electrode that is a great improvement on the widely used silver or platinum wire QRE commonly used in electrochemistry...
LLNL's method of equivalent time sampling incorporates an embedded system that generates the pulses used to trigger the external circuit and the data...
LLNL’s Optically-based Interstory Drift Meter System provides a means to accurately measure the dynamic interstory drift of a vibrating building (or...
The Optical Transconductance Varistor (OTV, formerly known as Opticondistor) overcomes depletion region voltage limitations by optically exciting wide...
The technology that is available has the capability to inject realistic radiation detection spectra into the amplifier of a radiation detector and...
LLNL's high fidelity hydrocode is capable of predicting blast loads and directly coupling those loads to structures to predict a mechanical response...
Stories
LLNL selected to lead next-gen extreme ultraviolet lithography research
Decades of cutting-edge laser, optics and plasma physics research at Lawrence Livermore National Laboratory (LLNL) played a key role in the underlying science that the semiconductor industry uses to manufacture advanced microprocessors.
LLNL researchers and LLNL Licensee Opcondys Inc. garner two awarded projects funded through DOE’s ULTRAFAST program
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 op
LLNL-Developed Thin-Film Electrodes Reveal Key Insight into Human Brain Activity
Thin-film electrodes developed at Lawrence Livermore National Laboratory have been used in human patients at the University of California, San Francisco, generating never-before-seen recordings of brain activity in the hippocampus, a region responsible for memory and other cognitive functions.
LLNL’s Tactically Responsive Launch-2 Payload Launched into Orbit
When the U.S. Space Force’s Tactically Responsive Launch-2 (TacRL-2) mission launched from Vandenberg Space Force Base on June 13, it carried a payload designed and built in record time by Lawrence Livermore National Laboratore.
In Memory of Gerald "Jerry" Burke
It is with deep sadness that we acknowledge the passing of Gerald “Jerry” Burke. Burke and colleagues created the Numerical Electromagnetic Code (NEC), an antenna modeling system for wire and surface antennas.
The Most Hygienic, Contactless Method of Digital ID is Verihand by nVIAsoft
nVIAsoft, LLNL licensee, is developing a hygienic, contactless method of secure digital ID based on innovation and intellectual property from the Lab.
LLNL Researchers and Business Development Executives Capture Best-Ever Three Technology Transfer Awards
Researchers from Lawrence Livermore National Laboratory (LLNL) and their colleagues who help them commercialize technologies have won three national technology transfer awards this year. The trio of awards, from the Federal Laboratory Consortium represent the most national awards t
The Value of International Collaboration
At a time when international cooperation can offer significant benefits, the cooperative research and development agreement (CRADA) signed between Argon Electronics UK Ltd and LLNL to utilize Livermore’s Radiation Field Training Simulator (RaFTS) technology, promises to both bolster and re-envisi
Lawrence Livermore National Laboratory | 7000 East Avenue, Livermore, CA 94550 | LLNL-WEB-2020415. Operated by the Lawrence Livermore National Security, LLC for the Department of Energy’s National Nuclear Security Administration. Learn about the Department of Energy’s Vulnerability Disclosure Program.
Lawrence Livermore National Laboratory | 7000 East Avenue, Livermore, CA 94550 | LLNL-WEB-2020415. Operated by the Lawrence Livermore National Security, LLC for the Department of Energy’s National Nuclear Security Administration. Learn about the Department of Energy’s Vulnerability Disclosure Program.