Projects/Programs

Displaying 1 - 9 of 9

AI-based measurements For Imaging

Ongoing

The problem addressed in this work lies in enabling scientists to apply artificial intelligence (AI) based models to deriving measurements from terabyte-sized images. This problem is important as image-based measurements can become more accurate by introducing supervised AI-based models instead of

$Autonomous materials metrology diffraction measurement performed at SLAC$

Autonomous Systems for Materials Research and Metrology: Accelerating Discovery and Democratizing Science

Ongoing

Materials scientists often need to search high dimensional spaces for knowledge. For example, a scientist may be interested in learning how a material property (e.g. hardness) changes over many (for example, 10) values of a synthesis or processing parameter (e.g., annealing temperature). Such an

Cyber Physical Systems and Internet of Things Program

Ongoing

Objective - Enable scalable, dependable design methods and reproducible performance measurement for effective and trustworthy (reliable, safe, secure, resilient and privacy-enhancing) cyber-physical systems and IoT, by means of new measurement science, advanced testing and assurance capabilities and

Cyber-Physical Systems/Internet of Things for Smart Cities

Ongoing

Objective - To provide the measurement science and standards-based foundations for interoperable, replicable, scalable, and trustworthy cyber-physical systems that can be readily and cost-effectively deployed by cities and communities of all types and sizes to improve their efficiency

Cyber-Physical Systems/Internet of Things Testbed

Ongoing

Objective - To develop general design principles useful to all cyber-physical systems testbed developers and the co-simulation community; to develop specific design concepts to guide the development, operation, and evolution of NIST’s IoT/CPS testbed; and to establish a cross-sector IoT/CPS testbed

Cyber-Physical Systems and Internet of Things Foundations

Ongoing

Objective - To provide a common technical and conceptual foundation for CPS and IoT that enables conceptualization, realization and assurance across all domains, including a comprehensive and traceable methodology for meeting all stakeholder concerns throughout any systems engineering process and

Image Analytics

Ongoing

The Image Analytics Project enables scientific discovery by: Understanding scientific imagery, including traditional imagery forms and sizes advanced imagery forms and sizes (including very large images) Characterizing and evaluating sensors and processors of scientific imagery, including

Measurement Science for Complex Information Systems

Ongoing

What are complex systems? Large collections of interconnected components whose interactions lead to macroscopic behaviors in: Biological systems (e.g., slime molds, ant colonies, embryos) Physical systems (e.g., earthquakes, avalanches, forest fires) Social systems (e.g., transportation networks

Validating A.I. Pipelines for Analysis of Live Cell Image Data

Ongoing

We are exploring methods for very high-speed cell image data collection, which is enabling the repeated sampling of thousands of cells every 2 minutes. Rapid sampling allow us to observe dynamic processes in cells (such as cell division) on a relevant time scale. Such rates of sampling allows us to

NIST Headquarters
-Creating Helpful Incentives to Produce Semiconductors for America (CHIPS)
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--Material Measurement Laboratory
---Office of Reference Materials
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---Biosystems and Biomaterials Division
----Biomarker and Genomic Sciences Group
----Cellular Engineering Group
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----Complex Microbial Systems Group
----Cell Systems Science Group
----Biosystems and Biomaterials Division - HQ
---Chemical Sciences Division
----Biochemical and Exposure Science Group
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----Gas Sensing Metrology Group
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---Biomolecular Measurement Division
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----Biomolecular Measurement Division - HQ
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---Applied Chemicals and Materials Division
----Applied Chemicals and Materials Division - HQ
----Thermodynamics Research Center Group
----Thermophysical Properties of Fluids Group
----Nanoscale Reliability Group
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----Fatigue and Fracture Group
---Materials Science and Engineering Division
----Thermodynamics and Kinetics Group
----Polymers Processing Group
----Mechanical Performance Group
----Polymers and Complex Fluids Group
----Materials Science and Engineering Division - HQ
----Functional Polymers Group
----Functional Nanostructured Materials Group
---Materials Measurement Science Division
----Security Technologies Group
----Surface and Trace Chemical Analysis Group
----Nanomechanical Properties Group
----Nano Materials Research Group
----Materials Structure and Data Group
----Microscopy and Microanalysis Research Group
----Synchrotron Science Group
----Materials Measurement Science Division - HQ
----Data and AI-Driven Materials Science Group
---Material Measurement Laboratory Office
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----Material Measurement Laboratory - HQ
----Genome-Scale Measurement Group
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--Physical Measurement Laboratory
---Microsystems and Nanotechnology Division
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---Time and Frequency Division
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----Quantum & Nonlinear Nanophotonics Group
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----Time and Frequency - HQ
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----Dosimetry Group
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---Applied Physics Division
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----Applied Physics - HQ
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---Quantum Measurement Division
----Quantum Optics Group
----Mass and Force Group
----Quantum Measurement - HQ
----Laser Cooling and Trapping Group
----Fundamental Electrical Measurements Group
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----Atomic Spectroscopy Group
---Quantum Sensors Division
----Device Fabrication Group
----Long Wavelength Sensors and Applications Group
----Quantum Calorimeters Group
----Quantum Electronics Group
----Quantum Processing Group
----Quantum Sensors Group
----Quantum Sensors – HQ
----Nanoscale Spin Dynamics Group
----Microfabrication Group
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----Magnetics Group
---Nanoscale Device Characterization Division
----Atom Scale Device Group
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---Physical Measurement Laboratory Office
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--Hollings Manufacturing Extension Partnership Program
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