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Projects/Programs

Displaying 26 - 50 of 97

Fatigue in Silicon

Ongoing
Our objective is to evaluate mechanisms of fatigue in bulk silicon, a material that has been traditionally considered to be immune to degradation of mechanical

Fingerprint Chemistry

Ongoing
The goal of this focus area is to leverage the wealth of chemical information present in fingerprint deposits for novel forensic applications. This includes

Fire Debris and Explosives

Ongoing
The goal of this focus area is to enhance the measurement science capabilities and address measurement science challenges present in the analysis of fire debris

Forensic Chemistry

Ongoing
The NIST Forensic Chemistry Measurement Program aims to both develop and facilitate the implementation of scientifically valid, robust measurement tools for the

Glass Evidence Analysis

Ongoing
T he goal of this focus area is to improve the field of glass evidence analysis by developing new matrix-matched glass standards and by evaluating more

Hierarchical Materials

Ongoing
Nature utilizes a hierarchy of length scales and tiered structure to build lightweight, strong, and tough materials. Engineers look to exploit the advantage of

Illicit Narcotics Detection

Ongoing
NIST is measuring the trace chemical signatures and quantities of trace residues and background levels that contaminate surfaces associated with the concealment

Inkjet Printing and Precision Deposition

Ongoing
The ability to deposit small amounts of material in a highly controllable and precise fashion is important for creating test materials for trace detection

Inorganic Phase Equilibrium Data

Ongoing
Compile and evaluate phase equilibrium data for NIST Standard Reference Database 31 (Phase Equilibria Diagrams); disseminate the data in a readily accessible

Ion Mobility Spectrometry

Ongoing
Ion mobility spectrometry (IMS) is widely used for national security and law enforcement, placed at key transportation checkpoints such as airports and border

Isotope Metrology

Ongoing
Stable and radioactive isotope analysis is an important interdisciplinary tool used by numerous scientists. Therefore, achieving reliable metrology and

JARVIS-ALIGNN, JARVIS-ALIGNN-FF

Ongoing
Our Atomistic Line Graph Neural Network (ALIGNN) models are designed to predict atomistic properties with high accuracy. They can successfully predict single

JARVIS-ML

Ongoing
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

Measurement and Sampling Standards

Ongoing
The use of standards is considered a critical component in the assurance of analytical quality, allowing reliable measures of detection limits, accuracy, and