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Our goal is to develop the scientific understanding needed to allow modeling and simulation to become the driving force in improving magnetic sensors and to
Our goal is to develop the metrology to enable a materials genomic approach to the discovery and optimization of complex electronic and electromagnetic
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
Improved resilience of the U.S. civil infrastructure requires better knowledge of the performance of concrete structural components. This could be enabled by
We develop first-principles-based methods for prediction of atomic arrangements and properties in advanced materials and develop tools for the prediction and
New materials are essential for future energy independence, environmental sustainability, and next-generation manufacturing. The Materials Genome Initiative
Our Atomistic Line Graph Neural Network (ALIGNN) models are designed to predict atomistic properties with high accuracy. They can successfully predict single
JARVIS-ML is a repository of machine learning (ML) model parameters, descriptors, and ML related input and target data. JARVIS-ML is a part of the NIST-JARVIS
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
The quantum optics of light interacting with semiconductor-based nanostructures is being studied to extend concepts of entanglement and coherence in atomic
The National Institute of Standards and Technology (NIST), an agency of the United States Department of Commerce, in support of efforts to develop standards for
We are educating the next generation workforce with MGI skills and providing tools to rapidly deploy these skills. This includes knowledge and tools for machine
We use machine learning and other computational techniques to predict the self-assembly characteristics of multicomponent colloidal materials. This is a
We develop quantitative methods for the analysis of macromolecules having complex architectures and nanoparticles having organic functionalities. Our approaches
Our goal is to develop a real-time magnetic domain imaging system and apply it to technologically important systems, including data-storage and permanent
Our goal is to address the metrology of magnetic effects at the nanoscale level. Nanomagnet arrays form the basis for major data storage technologies, notably
A novel method for measuring multiaxial stress-strain curves in sheet metal has been designed based on a modified Marciniak punch stretching geometry. Since the
The Materials Genome Initiative will create a new era of materials innovation that will serve as a foundation for strengthening domestic industries in these
Our goal is to provide analytical tools that allow measurement and prediction of local structure to enable the development of ceramic materials for electronic
The goal of this project is to develop the metrology necessary for rapid, high-throughput measurement of the hydrogen content of novel materials proposed for
The transmission of information in today's electronics requires the movement of electrical charge, which expends energy and generates heat, creating two