Projects/Programs

Displaying 1 - 25 of 27

NVIDIA® DGX™ Station, an AI Supercomputer

3.5 GHz Spectrum Sharing

Application of deep learning algorithms to 3.5 GHz spectrograms to characterize incumbent federal radar emissions.

AI-based measurements For Imaging

NIST streamlines deriving measurements from terabyte-sized images and improves image-based measurement accuracy via web-based applications addressing image

Artificial Intelligence for Chemical Manufacturing

NIST uses AI for high-throughput data evaluation, which is critical to the chemical manufacturing enterprise.

CHiMaD Phase Field Community

CHiMaD Phase Field Website Repository See the live website at pages.nist.gov/chimad-phase-field. In January 2015 a group of phase field

Illustration of cyberbrain surrounded by industry icons

Computation Platform for AI/ML

The enki system provides access to research on and use of artificial intelligence and machine learning.

Data Driven Decision Support for Additive Manufacturing

“Digital disruption is a change in industry triggered by advances in information and communications technology. During the next few years, the technologies

AI/ML for Data Extraction and Uncertainty Predictions

Deducing Prior Material Deformation from Simple Mechanics

Deep Learning for MRI Reconstruction and Analysis

Healthcare is big part of the national economy. Medical Imaging has emerged over the past several decades as a critical diagnosis and therapeutic tool. However

Embodied AI and Data Generation for Manufacturing Robotics

Approaches categorized as “artificial intelligence” (AI) are enabling significant advances in robotics. These include symbolic logic, Bayesian statistics, and

Genome in a Bottle

Consortium hosted by NIST and JIMB dedicated to authoritative characterization of benchmark human genomes. Sign up for General GIAB and Analysis Team email

High Performance Crystal Plasticity

High-Throughput Experimental Materials Collaboratory

Materials are technology enablers. Many technologies (e.g., solar fuels, gas steam/turbines, catalysis, additive manufacturing, and corrosion mitigation) await

JARVIS-DFT

JARVIS-DFT is a density functional theory calculation database for 2D materials, solar cells and thermoelectrics. At present, the database consists of 873 DFT

JARVIS-FF

JARVIS-FF: Evaluation and comparison of classical interatomic potentials JARVIS-FF is a database designed to help Molecular Dynamics and/or Monte Carlo users

JARVIS-ML

Machine Learning for High Throughput Materials Discovery and Optimization Applications

We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form part of a data

Machine Learning for Materials Research: Bootcamps and Workshops

Over the last several years machine learning has gained increased attention in the material science community. The ability to perform high throughput in silico

Materials Data Curation System

CMOS/resistive switching realization of race logic architecture

Measurements for Neuromorphic Information Processing

The world demand for faster, more energy-efficient information processing is growing exponentially. To answer this demand researchers are looking beyond

NIST Living Measurement Systems Foundry

The goal of the NIST Living Measurement Systems Foundry is to enable the engineering of cells for reliable and safe use in dynamic and unpredictable

Physics and Hardware for Intelligence

Combining integrated photonics with superconducting electronics is a promising approach to achieving large-scale neuromorphic systems. Optical signals broadcast

AI self-quality assurance using learning curves in feedback loops

Semi-Automatic Curation

Subspace-Informed Deep Learning Solutions for Nanoscale Microscopy

NIST is developing AI and machine learning methods to improve the fidelity of novel nanoscale microscopy techniques that are under research by NIST physicists.

NIST Headquarters
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---Wireless Networks Division
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---Office of Data and Informatics
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----Data Services Group
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---Biosystems and Biomaterials Division
----Biomarker and Genomic Sciences Group
----Cellular Engineering Group
----Biomaterials Group
----Genome-Scale Measurements Group
----Complex Microbial Systems Group
----Cell Systems Science Group
----Biosystems and Biomaterials Division - HQ
---Chemical Sciences Division
----Biochemical and Exposure Science Group
----Chemical Informatics Group
----Optical Measurements Group
----Chemical Process and Nuclear Measurements Group
----Gas Sensing Metrology Group
----Inorganic Chemical Metrology Group
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----Environmental Chemical Sciences Group
----Chemical Sciences Division - HQ
----Marine Biochemical Sciences Group
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---Biomolecular Measurement Division
----Biomolecular Structure and Function Group
----Mass Spectrometry Data Center Group
----Bioprocess Measurements Group
----Bioanalytical Science Group
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---Applied Chemicals and Materials Division
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----Thermodynamics Research Center Group
----Thermophysical Properties of Fluids Group
----Nanoscale Reliability Group
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----Fatigue and Fracture Group
---Materials Science and Engineering Division
----Thermodynamics and Kinetics Group
----Polymers Processing Group
----Mechanical Performance Group
----Polymers and Complex Fluids Group
----Materials Science and Engineering Division - HQ
----Functional Polymers Group
----Functional Nanostructured Materials Group
---Materials Measurement Science Division
----Security Technologies Group
----Surface and Trace Chemical Analysis Group
----Nanomechanical Properties Group
----Nano Materials Research Group
----Materials Structure and Data Group
----Microscopy and Microanalysis Research Group
----Synchrotron Science Group
----Materials Measurement Science Division - HQ
----Materials for Energy and Sustainable Development Group
---Material Measurement Laboratory Office
----The Material Measurement Laboratory Office of Operations Group
----Material Measurement Laboratory - HQ
----Genome-Scale Measurement Group
--Information Technology Laboratory
---Applied Cybersecurity Division
----Applied Cybersecurity - HQ
----Cybersecurity and Privacy Applications Group
----National Cybersecurity Center of Excellence
----Trusted Identity Initiative Group
----National Initiative for Cybersecurity Education (NICE)
---Computer Security Division
----Computer Security - HQ
----Cryptographic Technology Group
----Secure Systems and Applications Group
----Security Components and Mechanisms Group
----Security Test, Validation and Measurement Group
----Security Engineering and Risk Management Group
---Applied and Computational Mathematics Division
----Mathematical Software Group
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----Computing and Communications Theory Group
----High Performance Computing and Visualization Group
----Applied and Computational Mathematics - HQ
---Advanced Network Technologies Division
----Emerging Network Technologies Group
----Internet and Scalable Systems Metrology Group
----Advanced Network Technologies - HQ
---Statistical Engineering Division
----Applied and Computational Statistics Group
----Statistical Design, Analysis, and Modeling Group
----Statistical Engineering - HQ
---Software and Systems Division
----Systems Interoperability Group
----Software Quality Group
----Software and Systems - HQ
----Cyber Infrastructure Group
----Information Systems Group
---Information Access Division
----Information Access - HQ
----Image Group
----Multimodal Information Group
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---Information Technology Laboratory Office
----Office of Computational Science for Metrology
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----Office of Chief Cybersecurity Advisor
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-Innovation & Industry Services
--Office of Advanced Manufacturing
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---Associate Director for Innovation & Industry Services
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---Network Learning and Strategic Competitions Division
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---Finance Management and Center Operations Division
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---Extension Services Division
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