Skip to main content

Advanced Manufacturing is the use of innovative technologies to create new or existing products. Lawrence Livermore National Laboratory’s advanced manufacturing portfolio can be organized into four main groups: Additive Manufacturing is the process of joining materials to make objects from 3D model data, usually layer upon layer, as opposed to subtractive manufacturing methodologies. Precision Engineering is the design and fabrication of machines, fixtures, and other structure that have exceptionally low tolerances, are repeatable, and are stable over time. Manufacturing Simulation & Automation comprises technologies that reduce human intervention in manufacturing processes, as well as a set of tools that allows for experimentation and validation of product, process, and system designs & configurations. Manufacturing Improvements are inventions that improve throughput/efficiency, or that reduce cost/waste.

Portfolio News and Multimedia

Image
California awards grant to LLNL and DarmokTech to develop recyclable sodium batteries

To address this critical energy need, the California Energy Commission recently awarded local startup DarmokTech and Lawrence Livermore National Laboratory (LLNL) a grant of $2 million over three years to pursue recyclable, sodium polymer-based batteries. The technology aims to enhance cost-effective energy storage and grid reliability in the state and beyond. The collaboration is indicative of the type of public-private partnerships that develop as a result of technology transfer and the entrepreneurial programs run by LLNL’s Innovation and Partnerships Office (IPO).

Image
Lab scientists win four 2025 R&D 100 awards

The trade journal R&D World Magazine recently announced the winners of the awards, often called the “Oscars of innovation,” recognizing new commercial products, technologies and materials that are available for sale or license for their technological significance.

Lawrence Livermore National Laboratory (LLNL) scientists and engineers have earned four awards among the top 100 inventions worldwide.  With this year’s results, the Laboratory has now collected a total of 186 R&D 100 awards since 1978. 

Submitted through LLNL’s Innovation and Partnerships Office (IPO), these awards recognize the impact that Livermore innovation, in collaboration with industry partners, can have on the U.S. economy as well as globally.

Image
LLNL licensee, Seurat, with investment from NVIDIA is transforming digital manufacturing

Seurat Technologies, a Massachusetts-based startup, licensed a LLNL-invented metal AM technology in 2015 with the intention of commercializing a high-speed, high-resolution 3D printer to produce metal parts at industrial scale. Since then, Seurat has developed the lasers, optics, and equipment needed to bring the technology to market, further strengthening LLNL’s mission-driven development of advanced materials and manufacturing processes.  In this video, explore how Seurat, with investments from NVIDIA and others, could revolutionize metal additive manufacturing.

Advanced Manufacturing Technologies

Image
Examples of different DIW 3D printed composite copper current collectors films

LLNL researchers has developed a composite copper current collector formulation readily used in DIW 3D printing to guide lithium-ion plating/dissolution during charging and discharging cycles.

Image
Picture of SLA printed structures using 3D printable nitrile-containing photopolymer resins

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-…

Image
Picture of interlocked electrode structure with metal plated surfaces

LLNL researchers have developed a fabrication process for creating 3D random interdigitated architectures of anodes and cathodes, eliminating the need for a membrane to separate them.  This approach is similar to the repeating interdigitated multi-electrode architectures that also were developed at LLNL. 

Image
Printed TPMS membrane structures using nanoporous photoresist

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…

Image
Electrodeposition of Zn onto 3D printed copper nanowire (CuNW)

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…

Image
New class of lattice-based substrates

To get the best of both worlds – the sensitivity of LC-MS with the speed of PS-MS – and a functional substrate that can maintain sample integrity, LLNL researchers looked to 3D printing.  They have patented a novel approach to create lattice spray substrates for direct ionization mass spectroscopy using 3D-printing processes.

Image
3D Printing of High Viscosity Reinforced Silicone Elastomers

LLNL researchers, through careful control over the chemistry, network formation, and crosslink density of the ink formulations as well as introduction of selected additives, have been successful in preparing 3D printable silicone inks with tunable material properties.  For DIW (direct in writing) applications, LLNL has a growing IP portfolio around 3D printable silicone feedstocks for…

IPO logo over a face profile with interconnected lines

LLNL’s method of 3D printing fiber-reinforced composites has two enabling features: