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Projects/Programs

Keyword

Organizational Unit

The Los Angeles Megacity Carbon Project

Ongoing

Observation Network Tower and rooftop-based in-situ measurements of carbon dioxide (CO 2) and methane (CH 4) are the backbone of the LA Megacity test bed. This surface-based component of the LA observing system includes a network of Greenhouse Gas (GHG) monitoring stations that is intended to

Low Temperature Regenerator and Pulse Tube Losses

Ongoing

All-digital radio communication between the various forces of the U.S. military is required to improve communications to the level needed in the near future. Such communication requires analog-to-digital converters of speeds only possible with low temperature superconducting electronics. The

Low-Complexity Optimized MIMO Receiver

Completed

Transmit diversity is a very significant characteristic which a Multiple-Input Multiple-Output (MIMO) communication system possesses. Nevertheless, due to the size of a mobile phone, the 10λ distance between two antennas allowing each channel to be independent is difficult to fulfill. Against this

A group of students in a laboratory with computers and equipment

A Low-Cost Robot Science Kit for Education

Ongoing

Despite its low cost, Legolas has been demonstrated for machine learning-driven hypothesis design, discovery, and validation. For the last four years, Legolas has been used in hands-on courses at the University of Maryland to teach next-generation workforce skills, including ML, control systems

Low-Cost Sensor Platform

Ongoing

This platform uses commercially available sensors and microcontrollers, making them a fraction of the cost of traditional GHG measurement systems. Though these sensors are less accurate than traditional measurement systems, NIST hopes to reduce sensor uncertainty to the 1 ppm level with frequent

AI for Low-Field MRI

Ongoing

The overall goal of this project is to use an AI network to overcome the low Signal-to-Noise-Ratio (SNR) of low-field MRI, so that we can produce quantitative ADC measurements. This will be accomplished by a collaborative effort imaging with a low-field Hyperfine instrument, with the physicists

Researchers use novel fluids with nanoparticles to improve the efficiency of chillers that cool large buildings.

Low-GWP Refrigerants for High-Efficiency HVAC&R Equipment

Completed

Objective - To develop heat transfer and system performance information that will assist in the selection and implementation of the best replacements for high-GWP hydrofluorocarbon (HFC). What is the new technical idea? Most of the currently used HFC refrigerants will be phased out or phased down

5 MHz Graph of phase noise vs. offset frequency showing NIST synthesized signal, Wenzel OXCO, and BVA oscilloquartz.

Low-Phase Noise Frequency Synthesis

Ongoing

Frequency synthesis plays an essential role in virtually all present-day commercial, industrial, and military technologies. State-of-the-art low-noise frequency synthesis is a crucial technical asset to high-resolution imaging and radar, high-speed telecommunications, and efficient management of the

Lunar Spectral Irradiance (LUSI)

Ongoing

Earth observing satellite sensors were once the exclusive domain of large satellite platforms used by government agencies for the purpose of national security, defense, weather prediction and disaster mitigation. These satellites typically carry onboard radiometric calibrators that along with pre

Machine Learning Algorithm Development and Artificial Intelligence Benchmarking

Ongoing

Atomistic machine learning — Machine Learning is an important means of accelerating prediction of atomistic properties of crystalline solids and molecules. All models are trained and validated using density functional theory (DFT) data from the NIST JARVIS project ( https://jarvis.nist.gov/)

Machine Learning Driven Self-correcting Autonomous Metrology Systems (SAMS)

Ongoing

While NIST-on-a-Chip has produced quantum and nanophotonic measurement solutions that can significantly reduce calibration frequency, their transition from laboratory to marketplace depends on seamless integration into user workflows. Our research addresses a fundamental challenge: maintaining

Machine Learning Fluid Equations of State

Ongoing

Understanding the thermodynamic properties of fluids and fluid mixtures is of central importance in many fields of science and engineering ranging from medicine to consumer products. The nature of the particles in a fluid can vary greatly depending on the type of interactions present, e.g., dipole

Machine Learning for High Throughput Materials Discovery and Optimization Applications

Ongoing

Over the last few decades, materials discovery and optimization have become significantly more sophisticated through the use of high throughput (combinatorial) methodologies. As a result, materials researchers can now collect much more data than previously possible, resulting in larger data sets

Machine Learning for Internet of Things (IoT)

Ongoing

Resource Allocation in IIoT Systems As with any large an complex system, Industrial Internet of Things (IIoT) deployments require the system operator to efficiently allocate the available bandwidth, computing, and energy resources. This is challenging because IIoT systems, especially large ones, can

Machine Learning for Materials Research: Bootcamps and Workshops

Ongoing

The 2016 bootcamp consisted of three days of lectures covering data processing, supervised learning and unsupervised learning as well as hands-on exercises using MATLAB covering a range of data analysis topics touching on each of the lecture . Example topics include: Identifying important

Machine Learning to Predict Food Provenance

Ongoing

Adulteration of food and food products is a pernicious problem which is difficult to solve as supply chains and international trade routes become increasingly complex; yet agriculture contributed over $1 trillion to the US GDP in 2017, [1] illustrating the importance of protecting this and related

Machine Learning to Predict Multicomponent Colloidal Crystals

Ongoing

There is a direct link between a material’s macroscopic properties and its microscopic structure, which makes rational bottom-up self-assembly a powerful tool for engineering properties of materials. In general, colloids are facile material building blocks whose shape, charge, and surface

Machine Learning and Threshold Analysis of Sensor Data for Cooktop Fire Prevention

Ongoing

Cooking equipment is involved in nearly half of home fires in the United States, with cooktop fires the leading cause of deaths and injuries in cooking-related fires. Researchers from NIST’s Engineering Laboratory and SED have evaluated 16 electrochemical, optical, temperature and humidity sensors

AM Machine and Process Control Methods for Additive Manufacturing

Completed

Objective Develop algorithms, methods and standard protocols for Additive Manufacturing (AM) process control, and implement it with software and hardware tools for open control of AM systems to enable more flexible process optimization by manufacturers. What is the Technical Idea? Additively

Machine Translation

Ongoing

Current MT technology evaluation activities: OpenMT: A biannual NIST evaluation of text-to-text MT technology. Focus is placed on the core task of MT technology where information learned is applicable to other MT technology types. Past MT evaluation activities: LORELEI/LOREHLT, 2016-2019: Low

Macromolecular Architectures

Ongoing

This project’s purpose is to synthesize and characterize model thermoplastics, thermoplastic elastomers (TPE), and mixed resins with systematic variation of polymer sequence, chemistry, and architectures to generate libraries of quantitative structure-property relationships validated by multiple

Macromolecule and Nanoparticle Composition and Architecture

Completed

Bringing new products to market requires measurements for rapid, quantitative assessment of composition and structure. To this end, NIST has developed a series of mass spectrometry-based tools that decrease the time necessary to achieve measurement success while producing more accurate results. The

Off-specular scattering Ewald construction

MAGIK Offspecular Reflectometer

Ongoing

Polarized-beam measurements are possible with the use of a 3He analyzer. This instrument is an evolution of the AND/R reflectometer, which was located on the NG-1 guide. MAGIK is located along the NG-D guide in the expanded guide hall (part of the NCNR's Expansion Initiative).

Magnetic Imaging

Completed

Advanced magnetic devices and storage media will rely on ultra thin ferromagnetic films; since such films are quasi two-dimensional magnets, they can have strong perpendicular magnetic anisotropy (PMA). Optimization of future materials, including improved yields, requires an ability to measure film

Magnetic Materials Metrology

Ongoing

Our aim is to develop the metrology for control and manipulation of magnetic anisotropy in magnetic materials. This includes development of the measurement science for quantification of the magnetic properties (e.g., magnetic anisotropy, magnetic exchange) and the structure-property-processing

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Advanced communications
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Buildings and Construction
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Chemistry
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Electronics
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Energy
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Environment
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-Marine science
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Fire
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-Fire dynamics and science
-Fire fighting
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-Materials flammability
-Structural fire resistance
-Wildland urban interface fire
Forensic Science
-Digital evidence
-Drugs and toxicology
-Firearms and toolmarks
-Forensic biometrics
-Forensic genetics
-Trace evidence
Health
-Biopharmaceuticals
-Cell and gene therapy
-Clinical diagnostics
--Cancer
--Medical imaging
-Food and nutrition
-Human microbiome
-Precision medicine
-Regenerative medicine and advanced therapy
--Flow cytometry
Information technology
-Artificial intelligence
--AI measurement and evaluation
--Applied AI
--Fundamental AI
--Hardware for AI
--Machine learning
--Trustworthy and responsible AI
-Biometrics
-Cloud computing and virtualization
-Complex systems
-Computational science
-Conformance testing
-Cyber-physical systems
--Smart cities
-Cybersecurity
--Cryptography
--Cybersecurity education and workforce development
--Cybersecurity measurement
--Identity and access management
--Privacy engineering
--Risk management
--Securing emerging technologies
--Trustworthy networks
--Trustworthy platforms
-Data and informatics
--Human language technology
--Information retrieval
--Natural language processing
-Federal information processing standards (FIPS)
-Health IT
-Internet of Things (IoT)
-Interoperability testing
-Location based services
-Mobile
-Networking
--Mobile and wireless networking
--Network management and monitoring
--Network modeling and analysis
--Network security and robustness
--Network test and measurement
--Next generation networks
--Protocol design and standardization
--Software defined and virtual networks
-Privacy
-Software research
--Software testing
-Usability and human factors
--Accessibility
-Video analytics
-Virtual / augmented reality
-Visualization research
-Voting systems
Infrastructure
Manufacturing
-Additive manufacturing
-Factory communications
-Factory operations planning and control
-Interoperability in manufacturing
-Machining
-Manufacturing economics
-Manufacturing quality assurance
-Manufacturing systems design and analysis
-Monitoring, diagnostics and prognostics
-Process improvement
-Process measurement and control
-Product data
-Robotics in manufacturing
--Agility and adaptability
--Collaborative robots
--Dexterous grasping
--Manipulation
--Mobility and industrial autonomous vehicles
--Navigation / actuation / control
--Sensing and perception
-Supply chain
-Sustainable manufacturing
-Systems engineering
-Systems integration
-Technology commercialization
Materials
-Ceramics
-Composites
-Concrete / cement
-Materials characterization
--Composition and structure
--Mechanical properties
--Thermal properties
-Metals
-Modeling and computational material science
-Polymers
-Superconductors
Mathematics and statistics
-Experiment design
-Image and signal processing
-Modeling and simulation research
-Numerical methods and software
-Statistical analysis
-Uncertainty quantification
Metrology
-Amount of substance
-Dimensional metrology
-Electrical / electromagnetic metrology
-Flow metrology and rheology
-Force metrology
-Humidity metrology
-Ionizing radiation metrology
-Mass metrology
-Metric
-Optical / photometry / laser metrology
-Pressure and vacuum metrology
-Thermometry metrology
-Time and frequency metrology
-Weights and measures
Nanotechnology
-Nanobiotechnology
-Nanochemistry
-Nanoelectronics
-Nanofabrication / manufacturing
--Lithography
--Self-assembly
-Nanofluidics
-Nanomagnetics
-Nanomaterials
-Nanomechanics
-Nanometrology
-Nanophotonics
-Nanophysics
-Nanoplasmonics
Neutron research
Performance excellence
-Assessment tools and services
-Baldrige award
-Baldrige examiners
-Baldrige Framework and Criteria
-Best practices
-Leadership development
Physics
-Atomic / molecular / quantum
-Biological physics
-Condensed matter
-Electron physics
-Magnetics
-Nuclear physics
-Optical physics and communications
-Quantum information science
-Radiation
-Spectroscopy
-Thermodynamics
-Time and frequency
Public safety
-Chemical / Biological / Radiological / Nuclear / Explosives (CBRNE)
-First responder preparedness
-Law enforcement
-Public safety communications research
-Response robots
Resilience
-Community resilience
--Recovery
--Resilience metrics
-Disaster and failure studies
-Earthquake risk reduction
-Resilience economics
-Resilient materials
-Windstorm impact reduction
Standards
-Accreditation
-Calibration services
-Conformity assessment
-Documentary standards
-Frameworks
-Quality assurance
-Reference data
-Reference instruments
-Reference materials
-Standards education
Technology transfer
Transportation
-Aerospace
-Automotive