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Projects/Programs

Topic Area
Displaying 326 - 350 of 1652

Cruciform Multiaxial Mechanical Testing

Ongoing
A new ARRA funded cruciform test machine is being installed in the NIST Center for Automotive Lightweighting. Its capabilities include 500kN load per axis, two DIC strain mapping systems (one for large field mapping and one for zooming in to study localizations or features), a high resolution, high

Cryogenic Photonic Interconnects

Ongoing
Microwave photonics, where optical systems are employed to transport, filter, generate, or otherwise process microwave and millimeter wave signals, takes advantage of the large bandwidth, low loss, and low noise of optical systems, as well as the long reach of optical fiber interconnects. We are

Cryogenics

Ongoing
Almost all the devices developed by the Quantum Sensors Group work at temperatures below liquid helium. Sometimes, it is necessary to develop specialized cryogenics to test the devices, or to facilitate their dissemination to outside users. The cryogenics team also aims to make refrigerators more

Cryptographic Applications and Infrastructures

Ongoing
For more information regarding the Cryptographic Applications and Infrastructures project (Cryptographic Standards and Guidelines) , please visit the Computer Security Resource Center (CSRC).

Cryptographic Standards and Guidelines

Ongoing
For more information regarding the Cryptographic Standards and Guidelines (formerly the Cryptographic Toolkit), please visit the Computer Security Resource Center (CSRC).

Crystallographic Databases

Ongoing
Impact and Customers Materials with new or improved properties are continually being developed to meet demands for increased functionality of components and devices at decreased costs. Examples of multi-million dollar industries driven by materials advances are solid-state lighting (GaN-based

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

Cybersecurity for Smart Grid Systems

Completed
Objective: To develop the measurement science needed to advance the development and standardization of cybersecurity, including privacy, policies, measures, procedures, and resiliency, in the smart electric grid. What is the new technical idea? As a result of deployment of new smart grid

Cybersecurity for Smart Manufacturing Systems

Completed
Manufacturers are hesitant to adopt common security technologies, such as encryption and device authentication, due to concern for potential negative performance impacts in their systems. This is exacerbated by a threat environment that has changed dramatically with the appearance of advanced

Data Analytics for Smart Manufacturing Systems

Ongoing
Objective: Develop standards, software tools, methodologies, and guidelines to enable small and medium enterprises to apply data analytics services to improve decision-making and performance in smart manufacturing systems. Technical Idea: Manufacturers need enhanced decision-support tools that would

Data Driven Decision Support for Additive Manufacturing

Completed
Objective To develop and deploy the metrics, models, and best practices for using product definition, advanced analytics, and machine learning methods in additive manufacturing design and process planning to reduce lead times and support first-part-correct goals. Technical Idea Future advancements

AI/ML for Data Extraction and Uncertainty Predictions

Ongoing
The Material Measurement Lab at NIST employs artificial intelligence for the prediction and discovery of materials characteristics. Our applications of artificial intelligence (AI) accelerate materials research as well as help the community learn about AI's capabilities and gain confidence in

Data Infrastructure for Biomanufacturing Process Control

Ongoing
Objective The objective of this project is to develop measurement science that includes ontology models, ontology expression (axiomatic) patterns, guidelines for qualifying those ontologies, and distributed ontology development software that will allow U.S. manufacturers to have better access to

Data Integration and Management for Additive Manufacturing

Completed
Objective Data plays the most critical role in linking AM lifecycle and value chain activities and streamlining the AM development process. While the AM data from a single build is essential for establishing part traceability, when methodically collected, the full processing history of thousands of

Data Management and Fusion for AM Industrialization

Ongoing
Objective To develop methods, models, software tools, open data and best practices for data integration, management, and fusion in additive manufacturing to accelerate AM Industrialization. Technical Idea Our technical idea is to enable an integrated, streamlined and effective AM development and

Data Models for Expression of Uncertainty in Materials Data

Ongoing
The two main parts of this work are definition of appropriate data structures for different types of uncertainty analyses, and implementation of these data structures into analysis and visualization software for demonstration, testing, and use. The different types of uncertainty analyses to be
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