Nondestructive Characterization
Institute (NCI)
Constructing Knowledge
The Nondestructive Characterization Institute (NCI) has worked for years alongside U.S. government agencies and with various academic and arts institutions and manufacturers to provide improved security and insight into object interiors and composition.
NCI uses microwave diagnostics to see conductive surfaces through opaque insulators, employs in-situ long wave-length electromagnetic waves for metal additive manufacturing, creates diagnostics for in‐situ monitoring of liquid metal jetting additive manufacturing (AM) systems, and uses x-ray imagine for contraband detection. In addition to these modes, NCI works to quantify uncertainties in nondestructive characterization (NDC) processes, advance quantitative NDC to create as-built models, and advance laser optical, computer-aided speckle, and holographic interferometry.
Research Areas and Capabilities
We provide state-of-the-art evaluative capabilities, including:
X-ray
- Methods
- Transmission
- Computed Tomography (CT)
- Limited angle
- Limited-views
- Lab based (bremsstrahlung) Phase Contrast (CT)
- Synchrotron based
- 3-ring flash CT
- 4D CT
- Facilities
- Nondestructive Evaluation (NDE)
- National Ignition Facility (NIF)
- High Explosives Application Facility (HEAF)
- Strategic Deterrence (SD)
- Global Security (GS)
- International
- Radiography
- Digital
- Film
- Cine
- Gamma ray gauge
- Application areas
- Explosives
- Cargo
- Luggage
- Inertial Confinement Fusion (ICF) capsule
- Hohlraum
- Material
- Objects
- Assemblies
- Advanced manufacturing
- Sources
- X-ray tubes
- Linear Accelerator (LINAC)
- Laser-based
- Flash x-ray tubes
- Synchrotron
- Detectors
- Flat panels
- High Purity Germanium (HPGe)
- Cadmium Zinc Telluride (CZT)
- Complementary Metal-Oxide-Semiconductor (CMOS)
- Charge Coupled Device (CCD)
Ultrasonics
- Immersion
- Contact
- Acoustic Emission
- Laser-based
- Resonance ultrasonic spectroscopy
Other NDC Capabilities
- Liquid penetrant testing
- Magnetic particle testing
- Eddy current and microwave imaging
- Evaluating systems to detect radiological and nuclear materials in cargo
Advancing the Characterization of Advanced Manufacturing Parts
- Acoustic emission and non-linear evaluation of AM parts
- Lab-bases phase contrast
Since 1980, NCI has pioneered x-ray imaging and Computed Tomography (CT) research and deployment. NCI has designed and built the hardware and software for a wide range of CT scanners; we also have commercial CT systems. Our CT scanners span a wide range of specimen size and x-ray energy: 2D radiography, 3D capabilities, and 4D technology that captures change over time. Complementing these are NCI-developed software for acquisition, analysis, and display.
We specialize in multi-energy and mono-energetic CT imaging to obtain material properties, and we have access to synchrotron beamlines at the Berkeley and Argonne labs for CT purposes. In addition to x-ray tomography, we can perform CT imaging with emitted gammas, protons, electromagnetic (radar) and ultrasound modalities.
- 4D computed tomography
- Advanced limited-view and limited angle-view reconstruction algorithms for novel computed tomography applications
- Quantitative kV and MV computed tomography
- CT (transmission, emission, and phase contrast)
- X-ray signatures of precursors, home-made explosives, high explosives and chemical agents
Our NDC facility has immersion tanks where specimens up to a meter wide can be submerged and imaged via ultrasound. We also have a variety of portable contact ultrasonic sensors that can be deployed where needed. For example, a phased-array ultrasonic testing (PAUT) system has been fielded at LLNL in support of containment-vessel inspection.
Ultrasonic testing is also used to inspect Graded Density Impactors (GDIs), which are disks with varying impedance tailored to produce a specific shock input into a gas-gun target upon impact. Ultrasonic inspections ensure GDI integrity and verify their material properties.
Additional capabilities include:
- Ultrasound testing (contact, immersion, and non-contact laser)
- Acoustic emissions
- Resonant ultrasound spectroscopy
- Laser-based ultrasonics testing of additive manufacturing parts
NCI staff have developed and are using many computational tools to perform their tasks, many of which are available to collaborators.
- Modeling and simulations
- ZeCalc – Effective Atomic Number Calculator
- LTT – Livermore Tomography Tools for image reconstruction
- LEAP – LivermorE AI Projector for Computed Tomography
- DRCT – Data acquisition tool for Digital Radiography and Computed Tomography
- CT-GUI – A graphical user interface for LTT and DRCT
- SIRZ – System-independent (Rho-e/Ze) dual-energy CT reconstruction method for material characterization
- CCG – Constrained Conjugate Gradient Algorithm
- Ptychography – Coherent phase imaging technique
- HADES – Radiography Simulation Tool
- Cheetah – A thermochemical equilibrium code used to characterize high explosives
- “What-if” Tool – Detection performance tool for CT
- MCNP (maintained by Los Alamos National Laboratory) – Monte Carlo Numerical Program
- Geant (developed by CERN) – Alternate Monte Carlo Simulation Tool
Featured News

New Neural Representation Tool Optimizes CT Reconstruction
LLNL researchers working in nondestructive characterization have developed cutting-edge machine learning techniques and neural representation methods to tackle challenging computed tomography (CT) reconstruction problems. Limited-angle CT and dynamic 4D CT have long stymied characterization efforts, but the LLNL team led by Aditya Mohan and Hyojin Kim has achieved high-fidelity reconstruction for severe limited-angle CT, by utilizing a data-driven machine learning method that effectively predicts missing details. The team’s Diffusion Probabilistic Limited-Angle CT Reconstruction (DOLCE) model was exhaustively trained on hundreds of thousands of medical and airport security x-rays to learn how to incrementally refine images and restore missing data through the deep learning process of diffusion.
More News
System Independent Rhoe and Ze (SIRZ) Improvements
Material identification, characterization, and quantification require estimating material properties that are independent of the detailed specifications of the CT system. SIRZ is one set of methods for estimating electron density (rhoe) and effective atomic number (Ze) of an object scanned using dual-energy X-ray CT (DECT).
The current state-of-the-art approach, SIRZ-2, generates approximations that lead to inaccurate estimates for large atomic numbered materials, but a recent innovation from an NCI team released SIRZ-3, which eliminates these limiting approximations. SIRZ-3 uses a new non-linear differentiable forward measurement model that expresses the DECT measurement data as a direct analytical function of rhoe and Ze. Leveraging this new forward model, an optimization algorithm solves for rhoe and Ze directly from the DECT data. Compared to SIRZ-2, measurement fidelity using SIRZ-3 actually improves as Ze values climb.


System Independent Rhoe and Ze (SIRZ) Improvements
Material identification, characterization, and quantification require estimating material properties that are independent of the detailed specifications of the CT system. SIRZ is one set of methods for estimating electron density (rhoe) and effective atomic number (Ze) of an object scanned using dual-energy X-ray CT (DECT).
The current state-of-the-art approach, SIRZ-2, generates approximations that lead to inaccurate estimates for large atomic numbered materials, but a recent innovation from an NCI team released SIRZ-3, which eliminates these limiting approximations. SIRZ-3 uses a new non-linear differentiable forward measurement model that expresses the DECT measurement data as a direct analytical function of rhoe and Ze. Leveraging this new forward model, an optimization algorithm solves for rhoe and Ze directly from the DECT data. Compared to SIRZ-2, measurement fidelity using SIRZ-3 actually improves as Ze values climb.
Phase-Contrast CT for Improved Material Discrimination
An NCI team has formulated a new 3D imaging mode called multi-spectrum x-ray phase-contrast computed tomography. This new mode provides high-contrast, quantitatively accurate characterization of low x-ray absorption contrast materials, which are currently difficult to measure.
Conventional computed tomography (CT) with bremsstrahlung x-ray spectra is a widely used imaging modality for 3D material characterization, but it can result in poor differentiation of materials if they have weak x-ray-absorption contrast. LLNL researchers developed a new mode of imaging called multi-spectrum x-ray phase-contrast CT, which generates high-contrast characterization of NIF capsules, polymers, composites, organic samples, and biological tissues. The contrast enhancement increases with the ratio of the refractive and absorption indices, which is typically greater than 10 for low-absorption contrast materials.


Phase-Contrast CT for Improved Material Discrimination
An NCI team has formulated a new 3D imaging mode called multi-spectrum x-ray phase-contrast computed tomography. This new mode provides high-contrast, quantitatively accurate characterization of low x-ray absorption contrast materials, which are currently difficult to measure.
Conventional computed tomography (CT) with bremsstrahlung x-ray spectra is a widely used imaging modality for 3D material characterization, but it can result in poor differentiation of materials if they have weak x-ray-absorption contrast. LLNL researchers developed a new mode of imaging called multi-spectrum x-ray phase-contrast CT, which generates high-contrast characterization of NIF capsules, polymers, composites, organic samples, and biological tissues. The contrast enhancement increases with the ratio of the refractive and absorption indices, which is typically greater than 10 for low-absorption contrast materials.
High-speed synchrotron X-ray imaging demonstrates ultrasonic effects on alloy melt process
David Stobbe and Jordan Lum recently co-authored a Nature: Communications Materials article whose first author, Lovejoy Mutswatiwa, is the student of NCI collaborator Chris Kube at Penn State University. The paper describes how high speed synchotron x-ray imaging can be used to gauge the effects of ultrasonic vibrations on melt pool dynamics in Al6061 alloy. Whereas “the specific physical mechanisms of microstructural refinement relevant to laser-based additive manufacturing have not been directly observed because of sub-millimeter length scales and rapid solidification rates associated with melt pools,” the researchers’ results suggested a decrease in material defects under ultrasonic treatment.


High-speed synchrotron X-ray imaging demonstrates ultrasonic effects on alloy melt process
David Stobbe and Jordan Lum recently co-authored a Nature: Communications Materials article whose first author, Lovejoy Mutswatiwa, is the student of NCI collaborator Chris Kube at Penn State University. The paper describes how high speed synchotron x-ray imaging can be used to gauge the effects of ultrasonic vibrations on melt pool dynamics in Al6061 alloy. Whereas “the specific physical mechanisms of microstructural refinement relevant to laser-based additive manufacturing have not been directly observed because of sub-millimeter length scales and rapid solidification rates associated with melt pools,” the researchers’ results suggested a decrease in material defects under ultrasonic treatment.
Other Project Highlights
NCI performs comprehensive characterization in ways similar to medical diagnostics, using many forms of active (x-rays, gamma-rays, microwaves, ultrasound, etc.) and passive (e.g., radioactive or acoustic emissions) measurements combined with physics-based analysis. Read about some of our projects below!
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TSA Partnership
Department of Homeland Security’s Science and Technology division sponsors the Explosives Threat Assessment (ETA) Program, which includes a consortium of national laboratories. The program addresses the threat of public terrorism by providing mission critical data collection, measurement of physical properties of threat materials, risk mitigation and modeling, and support for first responders. Segmentation and threat detection capabilities at LLNL are leveraged to advise the government on improving explosives detection in x-ray computed tomography (CT) images of airport luggage.

TSA Partnership
Nearly 3,000 improvised explosive device incidents occurred in the United States in 2017, killing 10 people and wounding dozens. The clear and present threat of homemade explosives continues to evolve in the United States as the nation’s enemies constantly adapt to the state-of-the-art in explosives detection with stealthier, deadlier tactics. To keep the nation ahead of emerging threats, the Department of Homeland Security (DHS) Science and Technology Directorate (S&T) takes on rigorous explosives threat detection research through its various dedicated labs and projects.
“Screening at checkpoints is a top priority for Congress and the Department. These labs support this activity and the wider DHS mission by rapidly delivering explosives data, helping us better prepare for any future threats that may arise,” said William N. Bryan, Senior Official Performing the Duties of the Under Secretary for DHS S&T.
The Tyndall Reactive Materials Group (TRMG) in Florida and the recently launched Detection Technology Center (DTC) in Alabama are two test facilities operated by S&T in support of transportation security equipment used by the Transportation Security Administration (TSA) and other DHS components. A third facility, S&T’s Transportation Security Laboratory in New Jersey is responsible for certifying the equipment tested at TRMG and DTC.
“DHS S&T uses data collected at those labs to inform and develop mitigation strategies and strengthen our detection and response capabilities in order to stop an attack,” said Elizabeth Obregon, DHS S&T Homemade Explosives Program Manager.
“The information generated from these facilities ensures screening equipment is attuned to detect threats before they can create tragedy, and the folks operating at these labs work tirelessly to keep families safe.” Obregon concluded. S&T works closely with Lawrence Livermore National Laboratory to analyze laboratory data for TSA.

Supporting Additive Manufacturing
Computed tomography and image segmentation techniques are used to identify internal flaws in physical structures, and the interdependence of NDE and additive manufacturing at the Lab has grown exponentially in recent years. Here, an additively-manufactured cube with 64 branched channels was filled with extruded plastic explosive and analyzed for flaws in the fill process that might prevent or desynchronize reaction propagation.

Supporting Additive Manufacturing
Livermore and the Kansas City National Security Campus (KCNSC), which has decades of experience as a production facility for the NSE and in meeting the extremely rigorous qualification standards for stockpile component production, recognized the potential for AM polymers and began to explore an improved, concurrent design and development process. “When the AM team first came to the weapons program, we could print a 2D silicone doily. Now, we can print complex parts with completely arbitrary shapes, and we’re integrating machine learning and high-performance computing. It’s remarkable how far additive manufacturing has evolved in such a short time,” says program leader and materials scientist Bob Maxwell....
The most common method for producing polymer AM components is direct ink writing (DIW), which involves extruding a silicone resin ink through a nozzle onto a substrate creating a series of intricate lattice structures. The substrate or mandrel moves during the extrusion process following a digital design dictating its path. “Working with DIW is challenging. You can always design the ideal part, but you plug that design into a computer, push the button, and you might end up with spaghetti instead of a nice, cohesive 3D part,” says Tom Wilson, polymer scientist in Livermore’s Materials Science Division....
Once a part has been printed, researchers must examine it in a noninvasive manner for potential flaws that might compromise its integrity. Chuck Divin, a nondestructive evaluation (NDE) engineer at Livermore, has led a team of engineers and scientists at the Polymer Production Enclave in developing new NDE methods of inspection that allow researchers to determine the as-built structure and composition of a part with greater precision and accuracy, reducing uncertainties to less than 0.2 percent without disassembling a part. KCNSC and Livermore worked together to modify the NDE system to be more practical, robust, and user-friendly, ensuring that technicians can reliably evaluate parts.

National Ignition Facility uses lasers to generate x-rays
Laser-driven sources at Livermore support ICF research at NIF, the world’s most energetic laser, which contains the Advanced Radiographic Capability (ARC), the world’s most energetic short-pulse laser. ARC provides a nondestructive, diagnostic tool to see through the fast moving, small feature, and dense NIF target, evaluating the shape of the target as it compresses and examining material response to stresses at extreme conditions.

National Ignition Facility uses lasers to generate x-rays
Lawrence Livermore National Laboratory has a rich history in laser research since the pursuit of inertial confinement fusion (ICF) began decades ago. In addition to Livermore’s December 2022 ignition achievement at the National Ignition Facility (NIF), the Laboratory’s laser science research has led to several significant technological advances, including designing and building ultraintense, high-average-power lasers. Recent developments using these short-pulse lasers involve efficiently generating beams of particles—electrons, protons, neutrons, x rays, and muons. The types of particles produced depend on the strength, shape, and pulse of the laser beam, the materials used in the laser target (a tiny capsule holding matter that is heated to more than 3 million degrees Celsius), and the interaction between the laser and those materials.
Laser-driven sources at Livermore support ICF research at NIF, which contains the Advanced Radiographic Capability (ARC), the world’s most energetic short-pulse laser. ARC provides a nondestructive, diagnostic tool to see through the fast moving, small feature, and dense NIF target, evaluating the shape of the target as it compresses and examining material response to stresses at extreme conditions.
Livermore researchers are using ARC to develop laser-based x-ray and neutron sources for radiography, an imaging technique that uses x rays, gamma rays, or similar ionizing or non-ionizing radiation to view the internal form of an object. Radiography is used to conduct x-ray imaging of humans and to inspect flaws or cracks within materials that may not be visible to the naked eye. Among other uses at Livermore, radiography using laser-produced particles offers new opportunities for non-destructive evaluation of weapons components and the complex internal structures of 3D-printed materials.
Read more:

NDE researchers at LLNL make headway in situ monitoring to meet additive manufacturing advances
The integrity of components fabricated with advanced manufacturing techniques, such as laser powder bed fusion, is dependent upon rapid heating, melting, and solidification processes. New techniques are needed to provide in situ feedback of these processes, to ensure that additively manufactured builds are on track or can be reconfigured in case of error. Morales and team have created a laser-based ultrasonic technique to monitor the thermal effects induced by high-powered laser in titanium build samples.

NDE researchers at LLNL make headway in situ monitoring to meet additive manufacturing advances
The integrity of components fabricated with advanced manufacturing techniques, such as laser powder bed fusion, is dependent upon rapid heating, melting, and solidification processes. New techniques are needed to provide in situ feedback of these processes, to ensure that builds are on track or can be reconfigured in case of error. Morales and team have created a laser-based ultrasonic technique to probe thermal effects induced by a high-power continuous wave laser in titanium samples.
Their paper, published in Nature Scientific Reports, shows that spatially uniform heating beam, laser-induced surface acoustic waves are strongly influenced by surface heating conditions, are dispersive in the case of rapid heating, and that abrupt velocity reduction happens upon the onset of surface melting. Their work involves a pulsed laser to generate high frequency surface acoustic waves that propagate through the laser-heated region and are detected using a photorefractive crystal-based interferometer. The upshot? Changes in the surface wave velocity can be used to track local heating and detect the onset of surface melting in real time, so that adjustments can be made to additive metal builds as needed.
Facilities and Equipment




ACEL
Advanced Characterization and Evaluation Laboratory
ACEL houses state-of-the-art NDE capabilities enabling LLNL to perform 3D and in-situ measurement presented by challenging materials and structures ranging from hydrogen to dense metals. Rapid technology maturation and faster manufacturing turnarounds are also enhanced by its capacity for NDE.
AML
Advanced Manufacturing Laboratory
The Advanced Manufacturing Laboratory (AML) is part of the Livermore Valley Open Campus (LVOC)—an unclassified innovation hub for stimulating collaborative projects with external partners in government, industry, and academia. Advanced Manufacturing Laboratory capabilities include designing high-performance materials, architected materials and structures, devices, components, and assemblies enabled by innovative HPC modeling and simulation; developing unique, custom, high-quality feedstocks and nanomaterials; and inventing and maturing advanced manufacturing processes. Learn more about the facility or take a virtual tour.
HEAF
High Explosives Applications Facility
One of the most capable facilities of its kind in the world, 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. Learn more.
Site 300
Site 300 supports LLNL’s nuclear weapons stockpile stewardship work by providing facilities used to assess the operation of non-nuclear weapon components through hydrodynamic testing. Researchers use advanced diagnostics such as high-speed optics and x-ray radiography to compare the phases of the hydrodynamic flow from non-nuclear explosives experiments with computational data to assess the performance of components.
In addition to the above facilities, additional buildings house a low-energy (8-200 keV) x-ray gauge, mega-voltage (3-9 MV) x-ray film, digital radiography, dye penetrant, magnetic particle, optical shearography and holography.
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Opportunities for industry, university, and agency partnerships
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