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The state of the art for measurement and inspection of the smallest printed features on an integrated circuits (IC) chip is a combination of electron scanning
This project is focused on developing the measurement methods and polymer physics models needed to accelerate the innovation cycle for organic semiconductor
The purpose of this project is to create rheological measurement methods and tools, focused on using minimal fluid volumes, to measure local flow dynamics and
This project provides new measurement methods, property data and simulations for areas critical to US manufacturing, describing the mechanisms responsible for
Synthetic biomaterials must pass rigorous clinical, toxicological, and regulatory tests before they are introduced into practice. In order to design new
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
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
Ferromagnet-based microelectronic devices play an increasingly important role within the semiconductor ecosystem. Magnetic RAM (MRAM) is already replacing
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
Using AI tools and physics-, chemistry-, and materials science-based knowledge, this project is aimed at developing machine learning (ML) algorithms to enable
There is always a degree of uncertainty surrounding measurements of polymeric materials, especially complex mixtures with varying distributions in chemistry
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
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
NIST’s Material Measurement Laboratory and Communications Technology Laboratory are developing a new spectroscopy for intermolecular interactions. The team is