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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

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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.

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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.

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Four LLNL teams to attend Energy I-Corps Cohort 20

In a record setting year for Lawrence Livermore National Laboratory (LLNL), four teams of LLNL researchers will attend the Department of Energy’s (DOE) Energy I-Corps (EIC) Cohort 20 this spring.

The EIC is a key initiative of the DOE’s  Office of Technology Commercialization, and facilitated at LLNL by Hannah Farquar from the Innovation and Partnerships Office (IPO). Established in 2015, EIC pairs teams of scientists with industry mentors to train researchers in moving DOE lab-developed technologies toward commercialization.

Advanced Manufacturing Technologies

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All-in-one development of polymer electrolytes via active-mixing DIW AM

The Studying-Polymers-On a-Chip (SPOC) platform has three major components: 
(1) active-mixing direct-ink-write
(2) in situ characterization substrates or probes
(3) active learning experimental planning system.  

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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.

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Cross-section of the target chamber in an artist’s concept of an inertial fusion energy power plant

LLNL researchers have developed additive manufactured fuel targets for IFE.  They have been successful in using TPL to fabricate low density (down to 60 mg/cm3) and low atomic number (CHO) polymeric foams for potential targets, and some have been tested at the OMEGA Laser Facility. With TPL, LLNL researchers have also been able to fabricate a full fuel capsule with diameter of ~ 5mm or…

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Photo of a representative hub unit

This invention focuses on the design of a fully interchangeable hub-droplet device apparatus for multiple droplet generation in parallel. The novel central hub combined with interchangeable chip configuration allows the use of different planar droplet generation devices that can be replaced and exchanged as needed. By separating the central housing hub which distributes incoming liquids into…

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graphic_of_simulation
Livermore researchers have developed a method for implementing closed-loop control in extrusion printing processes by means of novel sensing, machine learning, and optimal control algorithms for the optimization of printing parameters and controllability. The system includes a suite of sensors, including cameras, voltage and current meters, scales, etc., that provide in-situ process monitoring…
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microencapsulation_manufacture
Livermore researchers have developed a method of fabricating functional polymer-based particles by crosslinking UV-curable polymer drops in mid-air and collecting crosslinked particles in a solid container, a liquid suspension, or an air flow. Particles could contain different phases in the form or layered structures that contain one to multiple cores, or structures that are blended with…
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Machine Learning for Monitoring microfluidic microcapsules
LLNL researchers have developed a system that relies on machine learning to monitor microfluidic devices. The system includes (at least) a microfluidic device, sensor(s), and a local network computer. The system could also include a camera that takes real-time images of channel(s) within an operating microfluidic device. A subset of these images can be used to train/teach a machine learning…