An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.
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
With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities
Conventional techniques for analyzing chemical composition, such as infrared (IR) microscopy often miss critically important nanoscale details. To overcome this
This project aims to develop rigorous measurements and methodology needed for determining optical and electrical properties of advanced materials that might be
We use autonomous experimentation (the merger of automated synthesis, characterization, AI-driven decision-making) to elucidate the role of composition
The application of atomic force microscopy to go beyond topographic imaging and accurately measure nanomechanical properties of materials often depends on being
This project aims to enable use of metal additive manufacturing (AM) in fatigue and fracture critical applications via two main thrusts: Develop appropriate
High-accuracy linear and nonlinear optical properties of materials used for leading-edge optical technologies are measured and characterized to enable these
Electron, ion and photon-based microanalysis methods, instrumentation and protocols are developed to advance measurement science towards the elemental and
In this project we measure the fundamental electrical properties of materials from bulk to nanoscale from 1 MHz to 0.3 THz. Understanding the interaction of
Advanced experimental and theoretical methods are developed to increase the accuracy and precision of X-ray line energies and information derived from X-ray
Advanced microscopy and spectroscopy techniques are used in this project to study the chemical and physical properties of particles contained in complex
ZnO nanowires (NWs) are grown on bulk copper by chemical vapor deposition. Photoluminescence (PL) microscopy revealed band gap emission at 380 nm and a more
This project develops STEM-in-SEM methods or low-energy transmission electron diffraction, imaging, and spectroscopy in the scanning electron microscope, to
Provide reference materials and data, analysis and structure modeling protocols for the determination and prediction of atomic arrangements to enable innovation
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
We are developing novel machine learning algorithms and incorporating them into closed-loop autonomous systems to accelerate knowledge capture in the lab and in
Our goal is to enable the development and manufacturing of biomaterials for oral health moving forward in 21st century by providing critical measurement methods
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
As part of NIST's response to the Materials Genome Initiative (MGI), this project addresses the need for automation for the assembly and distribution of