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Projects/Programs

Displaying 151 - 156 of 156

Transport Property Measurements for Semiconductors and Energy Materials

Ongoing
The properties of materials and interfaces that govern reliability, performance, and thermal transport in advanced microelectronic packages are not fully characterized or understood, especially at device length scales wherein properties may differ significantly from bulk or literature values

Ultrafast Spectroscopy to Advance Microelectronics

Ongoing
Continued advancement in microelectronics, including analog and digital electronics, power electronics, optics and photonics, and micromechanics for memory, processing, sensing, and communications as defined by the OSTP “National Strategy on Microelectronics Research,” requires knowledge of material

Using AI to Determine Structure-Property Relations in Materials

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

Validation of Density Functional Theory for Materials

Completed
A variety of systems will be considered in this work: Pure and alloy solids will be studied using periodic DFT methods with three distinct crystal structures that are relevant to the widely-used CALPHAD (Computer Coupling of Phase Diagrams and Thermochemistry) method. This study emphasizes the

X-ray Stress Measurement

Ongoing
X-ray diffraction is commonly used to measure a materials crystal structure, crystal lattice orientation, and the spacing of the lattice planes. Our X-ray systems are designed to measure the spacing of one or two specifically selected lattice plane reflections for a given material. The systems use

X-ray Testbed for Breakthrough Catalyst Measurements

Ongoing
Interested in collaborating? See below What does this project do for industry? Current measurement techniques are unable to follow the reaction pathways during catalysis and are limited to observing only the end products or looking at catalysts outside of realistic reaction conditions. Our new