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Information Technology

Data & informatics

Search Publications

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Displaying 1 - 25 of 661

Assessing support structures for early career researchers at NIST

August 29, 2025
Author(s)
Justyna Zwolak, Robert Dalka
This report summarizes the findings of the workforce preparation assessment initiative at the National Institute of Standards and Technology (NIST) using the Aspects of Postdoctoral Researcher Experience Scale survey. It provides an assessment of the

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 measurement area and generating indispensable process control information. Sample charging and damage

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 platforms. The major challenges of IoT ecosystems are fragmentation or disintegration and cross-domain

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 nominally complete database of results from Consultative Committee for the Amount of Substance

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–September 30, 2024).

ONTOLOGY-BASED CONTEXT-AWARE DATA ANALYTICS IN ADDITIVE MANUFACTURING

November 13, 2024
Author(s)
Yeun Park, Paul Witherell, Hyunbo Cho
Recent advances in Additive Manufacturing (AM), particularly in production scenarios, have been largely driven by insights achieved through data analytics. AM has greatly benefited from the increasingly large amounts of data generated during the design to

Workshop Report on Autonomous Methodologies for Accelerating X-ray Measurements

November 5, 2024
Author(s)
Zachary Trautt, Austin McDannald, Brian DeCost, Howard Joress, A. Gilad Kusne, Francesca Tavazza, Tom Blanton
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and prioritize the goals, challenges, and opportunities for critical and emerging technology needs

Data needs and challenges for quantum dot devices automation

October 31, 2024
Author(s)
Justyna Zwolak, Jacob Taylor, Reed Andrews, Jared Benson, Garnett Bryant, Donovan Buterakos, Anasua Chatterjee, Sankar Das Sarma, Mark Eriksson, Eliska Greplova, Michael Gullans, Fabian Hader, Tyler Kovach, Pranav S. Mundada, Mick Ramsey, Torbjoern Rasmussen, Brandon Severin, Anthony Sigillito, Brennan Undseth, Brian Weber
Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum computers. However, present-day quantum dot devices suffer from imperfections that must be

TREC 2015 Dynamic Domain Track Overview

October 1, 2024
Author(s)
Ian Soboroff, Hui Yang, John Frank
Search tasks for professional searchers, such as law enforcement agencies, police officers, and patent examiners, are often more complex than open domain Web search tasks. When professional searchers look for relevant information, it is often the case that

An Overarching Quality Evaluation Framework for Additive Manufacturing Digital Twin

September 2, 2024
Author(s)
Yan Lu, Zhuo Yang, Shengyen Li, Yaoyao Fiona Zhao, Jiarui Xie, Mutahar Safdar, Hyunwoong Ko
The key differentiation of digital twins from existing models-based engineering approaches lies in the continuous synchronization between physical and virtual twins through data exchange. The success of digital twins, whether operated automatically or with

NIST Conference Papers Fiscal Year 2023

June 24, 2024
Author(s)
Kathryn Miller, Julie Jew, Myriam S. Dilawari
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2023 (October 1, 2022–September 30, 2023).

NIST Conference Papers Fiscal Year 2022

May 9, 2024
Author(s)
Kathryn Miller, Julie Jew, Myriam S. Dilawari
This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2022 (October 1, 2021–September 30, 2022).

An Introduction to Machine Learning Lifecycle Ontology and its Applications

April 19, 2024
Author(s)
Milos Drobnjakovic, Perawit Charoenwut, Ana Nikolov, Hakju Oh, Boonserm Kulvatunyou
Machine Learning (ML) adoption is on the rapid rise, with a nearly 40% compound annual growth rate over the next decade. In other words, companies will be flooded with ML models developed with different datasets and software. The ability to have

A case study of multi-modal, multi-institutional data management for the combinatorial materials science community

March 22, 2024
Author(s)
Sarah Allec, Eric Muckley, Nathan Johnson, Christopher Borg, Dylan Kirsch, Joshua B. Martin, Ichiro Takeuchi, Andrew Lee, James Saal, Logan Ward, Apruva Mehta
Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative advances in functional materials and acceleration of their design will require addressing the

Correlating Near-Infrared Spectra to Bulk Properties in Polyolefins

February 28, 2024
Author(s)
Bradley Sutliff, Shailja Goyal, Tyler Martin, Peter Beaucage, Debra Audus, Sara Orski
The industry standard for sorting plastic wastes is near-infrared (NIR) spectroscopy, which offers rapid and nondestructive identification of various plastics. However, NIR does not provide insights into the chain composition, conformation, and topology of

NIST Research Data Framework (RDaF): Version 2.0

February 7, 2024
Author(s)
Robert Hanisch, Debra L. Kaiser, Alda Yuan, Andrea Medina-Smith, Bonnie C Carroll, Eva Campo
The NIST Research Data Framework (RDaF) is a multifaceted and customizable tool that aims to help shape the future of open data access and research data management (RDM). The RDaF will allow organizations and individual researchers to develop their own RDM

Calculating Pairwise Similarity of Polymer Ensembles via Earth Mover's Distance

January 10, 2024
Author(s)
Jiale Shi, Dylan Walsh, Weizhong Zou, Nathan Rebello, Michael Deagen, Katharina Fransen, Xian Gao, Debra Audus, Bradley Olsen
Synthetic polymers, in contrast to small molecules and deterministic biomacromolecules, are typically ensembles composed of polymer chains with varying numbers, lengths, sequences, chemistry, and topologies. While numerous approaches exist for measuring

Employing Word-Embedding for Schema Matching in Standard Lifecycle Management

December 29, 2023
Author(s)
Hakju Oh, Boonserm Kulvatunyou, Albert T. Jones, Tim Finin
Today, businesses rely on numerous information systems to achieve their production goals and improve their global competitiveness. Semantically integrating those systems is essential for businesses to achieve both. To do so, businesses must rely on

KPI Extraction from Maintenance Work Orders-A Comparison of Expert Labeling, Text Classification and AI-Assisted Tagging for Computing Failure Rates of Wind Turbines

December 6, 2023
Author(s)
Marc-Alexander Lutz, Bastian Schafermeier, Rachael Sexton, Michael Sharp, Alden A. Dima, Stefan Faulstich, Jagan Mohini Aluri
Maintenance work orders are commonly used to document information about wind turbine operation and maintenance. This includes details about proactive and reactive wind turbine downtimes, such as preventative and corrective maintenance. However, the
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