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
- Synthesis and Processing (16)
- Materials for Energy Products (6)
- Data Science (5)
- Additive Manufacturing (4)
- Cybersecurity (4)
- Material Design (4)
- 3D Printing (2)
- Computing (2)
- Imaging Systems (2)
- Membranes (2)
- Simulation (2)
- Additively Manufactured (AM) Optics (1)
- Analysis (1)
- Information Technology (1)
- Instrumentation (1)
- Magnet Compositions (1)
- Material Characterization (1)
- Quantum Science (1)
- Structural Materials (1)
Technology Portfolios
LLNL’s invention is a photopolymerizable polymer resin that consists of one or more nitrile-functional based polymers. The resin is formulated for SLA based 3D printing allowing for the production of nitrile-containing polymer components that can then be thermally processed into a conductive, highly graphitic materials. The novelty of the invention lies in (1) the photo-curable nitrile-…
LLNL researchers has devised several design strategies to enable gating of thick architectures (e.g., 2D planar, 3D out-of-plane) made of nanostructures while maintaining substantial surface area available for sensing. Specific examples described in the patent application (2021/0249618) are given for carbon nanotubes (CNTs) and including typical channel gate configurations, gate-all-around…
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 researchers developed a novel method in preparing the ceramic nanofibrous material, which are used to attract and hold particles as well as unique filter designs. The ceramic fibers are prepared via electro spinning to make sheets of nanofibers. The sheets can then be formed into tubes of high surface area.
LLNL researchers have developed an innovative and uniform single-pot polymer multi-material system, based on a combination of 3 different reactive chemistries. By combining the three different constituent monomers, fine control of mechanical attributes, such as elastic modulus, can be achieved by adjusting the dosage of UV light throughout the additive manufacturing process. This results in…
LLNL researchers have developed a method to incorporate gas phase synthesized graphene (GSG) as a unique additive in a UV-crosslinkable polymer formulation. The GSG is added by using a planetary mixer to obtain a homogenous suspension of GSG in polymer. The resulting formulation is highly stable and doesn't show signs of phase separation or solid sedimentation. The polymer formulation is then…
LLNL researchers developed a novel method to nucleate the alpha phase of Tantalum on a polymer surface at room temperature, allowing for the controllable formation of a variety of 3D structures, such as airbridges. Using this method with a subsequent Piranha etch results in the complete removal of the residues of the polymer 'scaffolding' or template while allowing the deposited tantalum…
LLNL researchers have developed novel advanced manufactured biomimetic 3D-TPMS (triply periodic minimal surface) membrane architectures such as a 3D gyroid membrane. The membrane is printed using LLNL's nano-porous photoresist technology. LLNL’s 3D-TPMS membranes consist of two independent but interpenetrating macropore flow channel systems that are separated by a thin nano-porous wall. 3D-…
LLNL researchers have devised a set of design principles that facilitates the development of practical TPMS-based two fluid flow reactors.; included in the design are these new concepts:
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.
LLNL researchers have developed a technology suite that includes several methods for detecting trace levels of illicit drugs even in mixtures. These methods can be used as a rapid screening test for incoming samples; for the samples that were determined to contain detectable amounts, they would undergo final verification using conventional laboratory analytical techniques.
LLNL researchers have developed a novel simulation methodology using slow growth thermodynamic integration (SGTI) utilizing spliced soft-core interaction potential (SSCP). The approach to filling the molecular enclosures is a nonphysical one. Rather than filling the pores from the open ends this method creates steps in the algorithm that allow molecules to pass through the pore wall and…
LLNL researchers have developed a method to manufacture solid standard reference materials (SRMs) that can be used as calibration standards for elemental and isotopic analyses. The novel method allows for the growth of compositionally controlled particles as starting materials, and the synthesis of SRMs with single or multi-component(s) through electrophoretic deposition (EPD). The SRMs are…
LLNL inventors have shown that the optical material properties (transmission, reflectance, color) of an assembled device can be dynamically tunable using innovative core-shell nanomaterials and a structured composite crystal/colloid design. These smart optical materials are assembled from nanosized constituents that have a native surface charge. The nanoparticles can be manipulated by an…
LLNL inventors have created innovative steps in the synthesis, carbonation and activation steps of aerogel manufacturing that allows for large scale production. These steps are:
1. Synthesis: a novel pre-cure step with subsequent gelation (RF precursor solution is heated with stirring to achieve a mixed liquid intermediate temperature, the precursor solution is then allowed to cool,…
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…
To overcome challenges that existing techniques for creating 3DGs face, LLNL researchers have developed a method that uses a light-based 3D printing process to rapidly create 3DG lattices of essentially any desired structure with graphene strut microstructure having pore sizes on the order of 10 nm. This flexible technique enables printing 3D micro-architected graphene objects with complex,…
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…
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…
The approach is to use peroxides to modify the reaction kinetics in the production of polysiloxanes. A radical initiator in the presence of a hydride-terminated polysiloxane will increase the rate of curing and reduce manufacturing costs. At a minimum a formulation would contain a hydride-terminated polysiloxane, a platinum catalyst, and an initiator that generates radicals. The content of…
The novel technology developed at LLNL is a new, effective means of separating and concentrating Sc from lanthanides and non-REEs in unconventional, waste-derived feedstocks, thereby transforming an essentially valueless solution into valuable Sc concentrates. The results represent an important advance in the development of an environmentally sustainable alternative to organic solvent-based…
LLNL researchers along with collaborators at Pennsylvania State University have found that a newly discovered natural protein named Lanmodulin (LanM) could be a potential candidate for extracting REEs from ore or other sources such as coal ash as well as purifying the REE material. Through joint research, the scientists found that LanM undergoes a large conformational change in response to…
LLNL researchers have developed a custom formulated extreme low viscosity reactive silicone resin base modified with a temperature dependent thixotrope along with a modified catalyst package. The uncatalyzed composition is capable of accepting loadings of polymer microspheres sufficient to produce a cured bulk rubber that has a density as low as 0.3 g/cc, thus compatible with high-resolution…
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.
LLNL has developed a method of extending device lifetimes by imprinting into the device a shape that excludes specific vibrational modes, otherwise known as a phononic bandgap. Eliminating these modes prevents one of the primary energy loss pathways in these devices. LLNL’s new method enhances the coherence of superconducting circuits by introducing a phononic bandgap around the system’s…
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…
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…
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…
The innovators have modified a epoxide-assisted sol-gel method to produce chlorine-free, monolithic REO aerogels in just a matter of hours. This method was demonstrated for the lanthanide series. An important factor in realizing the sol-gel transition with the nitrate precursor was the addition of a key ingredient and moderate heat.. These alcogels can then be dried and calcined to produce…
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…
The LiDO code combines finite element analysis, design sensitivity analysis and nonlinear programming in a High-Performance Computing (HPC) environment that enables the solution of large-scale structural optimization problems in a computationally efficient manner. Currently, the code uses topology optimization strategies in which a given material is optimally distributed throughout the domain…
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-…
LLNL uses the additive manufacturing technique known as Electrophoretic Deposition to shape the source particle material into a finished magnet geometry. The source particle material is dispersed in a liquid so that the particles can move freely. Electric fields in the shape of the finished product then draw the particles to the desired location to form a “green body”, much like an unfired…
The LLNL method is based on freeze‐casting of aerosolized and pressurized metal salt solutions and subsequent thermal processing. This method generates both porous particles with sizes down to one micron and macroscopic monoliths with nanometer scale ligaments/struts. The material's density can be controlled during the freeze‐dried stage. Compared to conventional approaches, this method…
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…
LLNL has developed a liquid-free method that increases the overall mechanical resistance of self-supported, carbon nanotube assemblies through nanoscale reinforcement by gas-phase deposition of a thermally cross-linkable polymer. Polymer-reinforcement increases the strength of CNT yarns after crosslinking. For example, a minimal amount (<200 nm) of poly-glycidyl metacrylate (PGMA) deposited…
By combining 3D printing and dealloying., researchers at LLNL have developed a method for fabricating metal foams with engineered hierarchical architectures consisting of pores at least 3 distinct length scales. LLNL’s method uses direct ink writing (DIW), a 3D printing technique for additive manufacturing to fabricate hierarchical nanoporous metal foams with deterministically controlled 3D…
LLNL researchers have developed an alternative route to protective breathable membranes called Second Skin technology, which has transformative potential for protective garments. These membranes are expected to be particularly effective in mitigating physiological burden.
For additional information see article in Advanced Materials “Ultrabreathable and Protective Membranes with Sub-5…
LLNL has developed a new active memory data reorganization engine. In the simplest case, data can be reorganized within the memory system to present a new view of the data. The new view may be a subset or a rearrangement of the original data. As an example, an array of structures might be more efficiently accessed by a CPU as a structure of arrays. Active memory can assemble an alternative…
Simrev is a python library imported into a user-generated program. As the program grows in capability and complexity, the engineered product matures. The "software twin" handles all changes to product configuration and is the portal to running supercomputing analysis and managing workflow for engineering simulation codes. Assemblies become program modules; parts, materials, boundary conditions…
LLNL researchers have developed a custom resin formulation which uses a dispersing solvent and only a multifunctional monomer as the binding agent. The dispersing solvent system typically used has multiple components meant to achieve excellent dispersal of silica in order to create a flowable resin (rather than a paste). The dispersing agent has low vapor pressure, which allows the 3D printed…
LLNL researchers have developed a novel method of 3D printing regular microstructured architectures and subsequent complex macrostructures from additively manufactured bio-based composite thermoset shape memory polymer composite materials. This technology for 3D additively manufactured parts utilizes up to a 4 axis control DIW system for fabricating bio based thermally cured epoxy based SMP…
LLNL researchers have developed the hardware and chemistry to allow additive manufacturing of short carbon fibers in a thermoset polymer matrix which have a high degree of structural alignment over conventional cast or pressed short/chopped carbon fiber polymer composites.
The invention is based on the shear dispersal, alignment and concentration of fiber fraction within a resin…
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…
The nanosphere synthesis process works when a nanostructured substrate is heated above a critical temperature in the presence of a small amount of metal on the nanostructured surface. The metal acts as a particular type of catalyst for nanowire formation. It is periodically segregated within the nanowire in a thermodynamically well-defined process as nanowires grow. The result is…
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…
Dubbed the "LLNL Chemical Prism", the LLNL system has use wherever there is a need to separate components of a fluid. A few examples include:
- Chemical detection for known and previously unknown chemicals or substances
- Separation of biomolecules from a cellular extract
- Fractionation of a complex mixture of hydrocarbons
- Forensic analysis of…
Redox ion-exchange polymers ("redox-ionites") and membranes possessing cation- and anion- exchange, amphoteric, complex-forming and oxidation-reduction abilities have been developed on the basis of the biocompatible synthetic and chemically modified natural polymers. In addition, developments have been made towards methods of obtaining of water-soluble and spatially cross-linked ionites of…
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…
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)…
To overcome limitations with cellular silicone foams, LLNL innovators have developed a new 3D energy absorbing material with tailored/engineered bulk-scale properties. The energy absorbing material has 3D patterned architectures specially designed for specific energy absorbing properties. The combination of LLNL's capabilities in advanced modeling and simulation and the additive…
An invention at LLNL uses a mixture of solid and liquid dielectric media. This combination has properties that are an improvement over either separately. The solid phase, in the form of small pellets, inhibits fluid motion, which reduces leakage currents, while the liquid phase (dielectric oil) provides self-repair capabilities. Also, since the media is removable, the high voltage equipment…
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…