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This project aims to enable use of metal additive manufacturing (AM) in fatigue and fracture critical applications via two main thrusts: Develop appropriate
Critical parts for defense, aerospace, and medical applications must be formally qualified prior to use. Currently, extensive empirical testing consisting of
Using methods such as electronic structure (such as density functional theory, tight-binding, quantum Monte Carlo), force-field, machine-learning and quantum
An integrated computational materials engineering (ICME) approach is employed to link experimental and computational models across a variety of time and length
Transmission electron imaging and diffraction in an SEM are powerful tools that can be utilized in settings ranging from academia to small business, to
As part of NIST's response to the Materials Genome Initiative (MGI), this project provides resources to address some of the challenges to the wider use of
This project provides and develops novel computational infrastructure (i.e. data archives, open-source codes, APIs) that support the design, execution, and
Our objective is to support the efforts of the US automotive industry and its suppliers to incorporate advanced lightweight materials for improving fuel economy
We use autonomous experimentation to elucidate the role of composition, processing, and microstructure on the aqueous corrosion of complex metal alloys. To do
CERTIFIED LOW- AND HIGH-ENERGY CHARPY SPECIMENS AVAILABLE FOR TESTING AT 21 °C (70 °F) SRM 2092 AND 2096 (LOW-ENERGY AND HIGH-ENERGY, -40 °C) HAVE BEEN
A wide range of industrial sectors and their customers and suppliers are involved directly with NIST in the prioritization and development of certified
The development of a materials innovation infrastructure (MII) that will enable rapid and significant reductions in the development time for new materials with
“Digital disruption is a change in industry triggered by advances in information and communications technology. During the next few years, the technologies
AM data is essential for establishing part traceability, understanding AM processes and making decisions during the product development lifecycle. The curation
Nano and atomic scale theory of the electronic, optical and mechanical properties of ultrasmall structures, such as semiconductor quantum dots and dopants in Si
Develop a materials innovation infrastructure for the design and discovery of inorganic materials to reduce the time and cost for deploying new materials into
Reproducibility and reuse play fundamental roles in the development of science. With the growth of computational power and tools, simulated experiments have
This project provides property data, new metrology and contributes to standard test method development for materials systems subject to extreme mechanical and
This project provides new measurement methods, property data and simulations for areas critical to US manufacturing, describing the mechanisms responsible for
As the U.S. National Metrology Institute (NMI), our objective is to standardize and improve hardness and coating thickness measurement both in the U.S. and
We develop first-principles-based methods for prediction of atomic arrangements and properties in advanced materials and develop tools for the prediction and
Solder and solderability are increasingly tenuous links in microelectronics assembly as a consequence of ever shrinking chip and package dimensions, and the
This project will provide data and materials measurements necessary to improve the reliability of solder interconnects degraded by the switch to lead-free
Part quality in additive manufacturing (AM) is highly dependent on the process control, but there is a lack of adequate AM control methods and standards. In
Our goal is to develop a real-time magnetic domain imaging system and apply it to technologically important systems, including data-storage and permanent