Data & informatics

News and Updates

NIST Researcher Describes Data Considerations for Industrial Artificial Intelligence

February 1, 2025

In February 2025, NIST researcher Dr. M. Sharp published the second installment of a 4-part Manufacturing Extension Partnership (MEP) manufacturing innovation

NIST Hosts Second Stakeholder Workshop on Digital Twins

January 1, 2025

On January 14, 2025, NIST held the second of three stakeholder workshops in its ongoing series on Digital Twins, building upon the initial workshop held in

NIST Researchers and Collaborators Receive Best Paper Presentation Award at 2024 IEEE IECON

December 12, 2024

Dr. Martin Serrano, Amelie Gyrard, and Eoin Jordan, in collaboration with NIST researchers Eugene Song, Tom Roth, and David Wollman, received a best paper

Blog Posts

Brad Sutliff wears safety glasses as he stands in the lab in front of a computer monitor.

From Trash to Cash: How AI and Machine Learning Can Help Make Recycling Less Expensive for Local Governments

Listening to the Data: How a NIST Tool Helps Labs Worldwide Harmonize Measurements

Seek and You Will (Probably) Find: Helping Mine COVID-19 Research Data

Events

Artificial Intelligence for Materials Science (AIMS) Workshop

Wed, Jul 9 - Thu, Jul 10 2025

As part of the JARVIS workshop series, the 6th Artificial Intelligence for Materials Science (AIMS) workshop will be

Projects and Programs

an infographic showing four proposed standards connecting as four joined puzzle pieces

Development of Standards to Support a Modular and Autonomous Laboratory Ecosystem

Ongoing

Autonomous experimentation (AE), or self-driving laboratories, combines AI and automation while leveraging human intuition and creativity to guide experiment campaigns. AE can reduce the time and resources needed to discover new materials by orders of magnitude and reduce the time-to-market for

A line drawing of a woman's head styled like a classical carved bust

METIS

Ongoing

A Metrology Exchange to Innovate in Semiconductors

Hermes: Modular Open-Source Tools for Autonomous Materials Science Experimentation

Ongoing

Autonomous Experimentation is one of the latest, most powerful paradigms of research that takes advantage of Machine Learning tools. However, most machine learning code bases are designed for generic data. Contrastingly, in Materials Science, and other sciences, the data has significant physical

Trusted AI framework for a new class of Standard Reference Materials and Data with exquisitely characterized uncertainty for billions of properties

Ongoing

The measurement of diverse molecular classes in biospecimens containing millions of molecules, known as omics, is increasingly important in the life sciences and medicine, and used to find novel cancer therapeutics, discover COVID-19 infection pathways, and diagnose diseases. NIST RMs and SRDs for

Publications

Detection limits of AI-based SEM dimensional metrology

March 14, 2025

Author(s)

Peter Bajcsy, Brycie Wiseman, Michael Paul Majurski, Andras Vladar

The speed of in-line scanning electron microscope (SEM) measurements of linewidth, contact hole, and overlay is critically important for identifying the

IEEE 1451.0-based Web of Thing (WoT) Ontology

March 10, 2025

Author(s)

Eugene Song, Helbert da Rocha, Antonio Espirito-Santo, Riccardo Brama

Internet of Things (IoT) ecosystems are highly heterogeneous in terms of smart sensors/devices, connectivity, communication protocols, data formats, and

CCQM_Retrospectoscope Reference Manual: A detailed reference to the CCQM_Retrospectoscope, a suite of graphical tools for the meta-analysis of measurement results from CCQM studies

December 12, 2024

Author(s)

David L. Duewer, Christina Cecelski, Michael Nelson

This document is a detailed reference manual for the 1-September-2024 version of the CCQM_Retrospectoscope system. The CCQM_Retrospectoscope combines a

NIST conference papers fiscal year 2024

December 12, 2024

Author(s)

Kathryn Miller, Myriam Dilawari, Julie Jew

This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2024 (October 1, 2023

Software

The NIST Data Alignment Tool

August 12, 2022

The Data Alignment Tool (DAT) was built to assist with the analysis of data used in testing fault detection and diagnostics (FDD) tools and building

RECIPE

RECIPE is a FORTRAN program for determining one-sided tolerance limits (in particular, A- and B-basis material property values) for regression models in the

Extreme Winds and Wind Effects on Structures

The Engineering Laboratory has an established long-term collaboration with the NIST Statistical Engineering Division in the analysis of extreme wind speeds and

Curated Archive for COVID-19 Research Challenge Dataset (cord19-cdcs-nist)

This GitHub repository contains a downloadable snapshot of National Institute of Standards and Technology's COVID-19 Data Repository, curated from the COVID-19

Tools and Instruments

hotograph of the custom high temperature (>300 K) scanning instrument that measures electrical resistivity and Seebeck coefficient

High Throughput (Combinatorial) Screening Tool for Characterization of Thin Film Thermoelectrics as a Function Temperature

Description High-throughput (combinatorial) metrologies have evolved as a useful approach to rapidly determine the composition-structure-property relationships

Data & informatics

News and Updates

NIST Researcher Describes Data Considerations for Industrial Artificial Intelligence

NIST Hosts Second Stakeholder Workshop on Digital Twins

NIST Researchers and Collaborators Receive Best Paper Presentation Award at 2024 IEEE IECON

Blog Posts

From Trash to Cash: How AI and Machine Learning Can Help Make Recycling Less Expensive for Local Governments

Listening to the Data: How a NIST Tool Helps Labs Worldwide Harmonize Measurements

Seek and You Will (Probably) Find: Helping Mine COVID-19 Research Data

Events

Artificial Intelligence for Materials Science (AIMS) Workshop

Projects and Programs

Development of Standards to Support a Modular and Autonomous Laboratory Ecosystem

METIS

Hermes: Modular Open-Source Tools for Autonomous Materials Science Experimentation

Trusted AI framework for a new class of Standard Reference Materials and Data with exquisitely characterized uncertainty for billions of properties

Publications

Detection limits of AI-based SEM dimensional metrology

IEEE 1451.0-based Web of Thing (WoT) Ontology

CCQM_Retrospectoscope Reference Manual: A detailed reference to the CCQM_Retrospectoscope, a suite of graphical tools for the meta-analysis of measurement results from CCQM studies

NIST conference papers fiscal year 2024

Software

The NIST Data Alignment Tool

RECIPE

Extreme Winds and Wind Effects on Structures

Curated Archive for COVID-19 Research Challenge Dataset (cord19-cdcs-nist)

Tools and Instruments

High Throughput (Combinatorial) Screening Tool for Characterization of Thin Film Thermoelectrics as a Function Temperature

Awards

Ellen Voorhees receives Gerald Salton Award

Ellen Voorhees Receives Honorary Doctor of Science Degree from the University of Glasgow

Ellen Voorhees Wins Ron Brown Excellence in Innovation Award

Aaron Gilad Kusne Named APS Fellow