LLNL researchers have developed a method to enhance the performance of polyelectrolyte membranes by using a humidity-controlled crosslinking process which can be applied to precisely adjust the water channels of the membrane.
Keywords
- Show all (210)
- Instrumentation (39)
- Additive Manufacturing (37)
- Synthesis and Processing (17)
- Sensors (16)
- Diagnostics (13)
- Imaging Systems (9)
- Photoconductive Semiconductor Switches (PCSS) (9)
- Electric Grid (8)
- 3D Printing (7)
- Carbon Utilization (6)
- Semiconductors (6)
- Compact Space Telescopes (5)
- Laser Materials Processing (5)
- Therapeutics (5)
- Material Design (4)
- Optical Switches (4)
- (-) Materials for Energy Products (7)
- (-) Data Science (5)
- (-) Cybersecurity (4)
- (-) Diode Lasers (4)
![Adobe Stock image laser beam](/sites/default/files/styles/scale_exact_400x400_/public/2024-02/stockimage_laserbeam.png?itok=U06HtIhR)
This invention proposes to engineer the current density along the length of a laser diode to overcome the penalty associated with non-uniformity resulting from asymmetry in the gain, photon or carrier density despite having uniform contact. Optimizing the current density profile enables diode lasers to operate with greater power conversion efficiency or operate with equivalent power conversion…
![Schematic showing mismatched coefficient of thermal expansion (CTE) coating](/sites/default/files/styles/scale_exact_400x400_/public/2024-02/IL-13312_Schematic.png?itok=5MN8Mf-U)
This invention proposes to engineer the temperature dependence of the emission wavelength of LEDs and laser diodes. The approach is to use a strain-inducing coating to counteract the intrinsic temperature coefficient of the emission wavelength of the LED or laser diode device thereby rendering it athermal. This invention avoids additional complexity, size, weight and power dissipation of…
![Photoconductive Semiconductor Laser Diodes and LEDs](/sites/default/files/styles/scale_exact_400x400_/public/2024-02/Photoconductive%20Semiconductor%20Laser%20Diodes%20and%20LEDs.png?itok=n50p3rOY)
This invention proposes a method to overcome the key limitation of electrically pumped lasers based on AlN, AlGaN, or AlInGaN, namely the lack of suitable shallow donor and acceptor dopants. As the band gap of these materials increases (and the emission wavelength decreases), both electrons and holes require greater thermal energies in order to ionize.
![Adobe Stock image laser beam](/sites/default/files/styles/scale_exact_400x400_/public/2024-02/stockimage_laserbeam.png?itok=U06HtIhR)
Laser diode lensing effect can be substantially reduced by creating a pattern interface such that the substrate is only attached at the diode mesa. This is achieved by either creating a pattern solder joint and/or pattern substrate.
![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…
![One embodiment of a solid-state lithium-air battery based on gyroid foams.](/sites/default/files/styles/scale_exact_400x400_/public/2023-06/Li-Air%20Battery%20Gyroid%20Foam.jpg?itok=gPAwVj0O)
LLNL researchers have developed a new 3D printable lithium-air battery that uses a novel thin solid state ceramic electrolyte. LLNL’s invention overcomes the combined challenges of low power density and low cycle life in previously designed lithium-air batteries by using solid state electrolytes to achieve stability and multiscale structuring of the electrolyte to achieve low interfacial…
![cyber](/sites/default/files/styles/scale_exact_400x400_/public/2023-07/cyber.png?itok=69VZRw3q)
CSP-POST provides the capability to inspect all incoming and outgoing emails while providing after-the-fact forensic capabilities. Using commercially available lightweight and serverless technologies, CSP-POST easily collects all email and parses it into easily searchable metadata, enriched and ready for analysis. The web-based application is deployed in a repeatable, testable, and auditable…
![A system to cryptographically distinguish between human-generated text vs. AI-generated text](/sites/default/files/styles/scale_exact_400x400_/public/2023-06/certify%20data%20generated%20likely%20by%20human.png?itok=LbgHf3iX)
LLNL has invented a new system that uses public key cryptography to differentiate between human-generated text and AI-generated text. This invention can be used to validate that text is likely to be human generated for the purposes of sorting or gatekeeping on the internet, can detect cheating on essay assignments, and can be used as an automatic captcha that does away with the hassle of…
![AI Innovation Incubator](/sites/default/files/styles/scale_exact_400x400_/public/2022-01/AI%20Innovation%20Incubator.jpg?itok=B8jcKPOy)
Lawrence Livermore National Laboratory (LLNL) is offering the opportunity to collaborate in accelerating artificial intelligence (AI) for applied science, including research in key areas such as advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.
![Catalyst HPC cluster](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/Catalyst%20HPC%20cluster.jpg?itok=k9uYS5xL)
Clinical images have a wealth of data that are currently untapped by physicians and machine learning (ML) methods alike. Most ML methods require more data than is available to sufficiently train them. In order to obtain all data contained in a clinical image, it is imperative to be able to utilize multimodal, or various types of, data such as tags or identifications, especially where spatial…
![medical_x-rays_x-ray_tech](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/medical_x-rays_x-ray_tech_1.jpg?itok=kn0J-DkH)
Some COVID-19 diagnoses are utilizing computed tomography (CT)-scans for triage. CT-scans produce immediate results with high sensitivity. The digital images produced by a CT-scan require physicians to identify objects within the image to determine the presence of disease. Object identification can be done using machine learning (ML) techniques such as deep learning (DL) to improve speed and…
![MimicGAN data set example](/sites/default/files/styles/scale_exact_400x400_/public/2020-05/mimicgan_robustness_to_rotation.png?itok=yacM18ra)
MimicGAN represents a new generation of methods that can “self-correct” for unseen corruptions in the data out in the field. This is particularly useful for systems that need to be deployed autonomously without needing constant intervention such as Automated Driver Assistance Systems. MimicGAN achieves this by treating every test sample as “corrupt” by default. The goal is to determine (a) the…
![mesoscale_nand_gate.jpg mesoscale_nand_gate](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/mesoscale_nand_gate.jpg?itok=0APzWSXN)
Recent advancements in additive manufacturing, also called 3D printing, allow precise placement of materials in three dimensions. LLNL researchers have invented mechanical logic gates based on flexures that can be integrated into the microstructure of a micro-architected material through 3D printing. The logic gates can be combined into circuits allowing complex logic operations to be…
![nanocomposite_aerogel.jpg nanocomposite_aerogel](/sites/default/files/styles/scale_exact_400x400_/public/2019-08/nanocomposite_aerogel.jpg?itok=PuNPrvkg)
Livermore researchers have developed two novel TiCl4 based non-alkoxide sol-gel approaches for the synthesis of SiO2/TiO2 nanocomposite aerogels. Composite SiO2-TiO2 aerogels were obtained by epoxide-assisted gelation (EAG route) of TiCl4/DMF solution in the presence SiO2 aerogel particles. Additionally, the same TiCl4/DMF solution was employed to prepare SiO2@TiO2 aerogels by a facile one-…
![Encrypting computer clusters](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/hpcrypt.png?itok=VHVxx51a)
LLNL has developed a new method for securely processing protected data on HPC systems with minimal impact on the existing HPC operations and execution environment. It can be used with no alterations to traditional HPC operations and can be managed locally. It is fully compatible with traditional (unencrypted) processing and can run other jobs, unencrypted or not, on the cluster simultaneously…
![Optics](/sites/default/files/styles/scale_exact_400x400_/public/2022-07/Optics.jpg?itok=it_V--Tv)
The LLNL method for optimizing as built optical designs uses insights from perturbed optical system theory and reformulates perturbation of optical performance in terms of double Zernikes, which can be calculated analytically rather than by tracing thousands of rays. A new theory of compensation is enabled by the use of double Zernikes which allows the performance degradation of a perturbed…
![medical_x-rays_x-ray_tech](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/medical_x-rays_x-ray_tech_1.jpg?itok=kn0J-DkH)
LLNL has developed a new system, called the Segmentation Ensembles System, that provides a simple and general way to fuse high-level and low-level information and leads to a substantial increase in overall performance of digital image analysis. LLNL researchers have demonstrated the effectiveness of the approach on applications ranging from automatic threat detection for airport security, to…
![Batteryless Sensor](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/batteryless%20sensor.jpg?itok=OiEAlv22)
Chemical and biological sensors based on nanowire or nanotube technologies exhibit observable ultrasensitive detection limits due to their unusually large surface-to-volume architecture. This suggests that nanosensors can provide a distinct advantage over conventional designs. This advantage is further enhanced when the nanosensor can harvest its meager power requirements from the surrounding…
![Cell phone 2](/sites/default/files/styles/scale_exact_400x400_/public/2022-07/Cell%20phone%202.png?itok=k7L7xXwx)
LLNL's NeMS system enables network mapping operations by using two LLNL-developed software systems: LLNL's NeMS tool and the Everest visualization system. Each software system can be also used separately for their specific applications. When the two systems are used together as an iterative analysis platform, LLNL's NeMS system provides network security managers and information technology…
![3D printed electrodes](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/3D%20printed%20electrodes.jpg?itok=HPvcODM8)
Nanomaterials that are emerging out of cutting edge nanotechnology research are a key component for an energy revolution. Carbon-based nanomaterials are ushering in the "new carbon age" with carbon nanotubes, nanoporous carbons, and graphene nanosheets that will prove necessary to provide sustainable energy applications that lessen our dependence on fossil fuels.
Carbon aerogels (CAs)…
![3D printed electrodes](/sites/default/files/styles/scale_exact_400x400_/public/2022-06/3D%20printed%20electrodes.jpg?itok=HPvcODM8)
LLNL has developed novel nanoporous carbon materials for the surface-stress-induced actuator technology. The morphology of these materials has been designed to combine high surface area and mechanical strength. The process allows for the fabrication of large monolithic pieces with low densities and high structural integrity. One actuation technology relies on electrochemically- induced changes…