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Computational materials design requires a variety of tools to model processing-structure-property relationships across a range of time and length scales. This
Develop a materials innovation infrastructure for the design and discovery of inorganic materials to reduce the time and cost for deploying new materials into
Using atomistic-level calculations (density functional theory and classical molecular dynamics), this project aims at increasing our knowledge of electronic and
This project provides resources to address some of the challenges to the wider use of classical atomistic simulations (e.g. molecular dynamics and Monte-Carlo)
The working of countless electronic devices involves electric and magnetic effects interacting within nanostructured materials. In the phenomenon known as spin
We use autonomous experimentation (the merger of automated synthesis, characterization, AI-driven decision-making) to elucidate the role of composition
An integrated computational materials engineering (ICME) approach is employed to link experimental and computational models across a variety of time and length
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
This project develops STEM-in-SEM methods or low-energy transmission electron diffraction, imaging, and spectroscopy in the scanning electron microscope, 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
Our objective is to develop the measurement methodology, standards and analysis necessary for the US auto industry and base metal suppliers to transition from a
IMPORTANT INFORMATION FOR CUSTOMERS OF THE CHARPY MACHINE VERIFICATION PROGRAM * UPDATE August 24, 2020 * The NIST Boulder campus has reopened in July 2020 on a
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
Reproducibility and reuse play fundamental roles in the development of science. With the growth of computational power and tools, simulated experiments have
In this project we are developing in situ measurements relevant to the electrochemical fabrication, processing, and application of nanostructured materials 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
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