1704 lines
106 KiB
Text
1704 lines
106 KiB
Text
<!DOCTYPE html>
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<html lang="en" dir="ltr" prefix="content: http://purl.org/rss/1.0/modules/content/ dc: http://purl.org/dc/terms/ foaf: http://xmlns.com/foaf/0.1/ og: http://ogp.me/ns# rdfs: http://www.w3.org/2000/01/rdf-schema# schema: http://schema.org/ sioc: http://rdfs.org/sioc/ns# sioct: http://rdfs.org/sioc/types# skos: http://www.w3.org/2004/02/skos/core# xsd: http://www.w3.org/2001/XMLSchema# ">
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<head>
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<article
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about="/news-events/news/2025/01/nist-hosts-second-stakeholder-workshop-digital-twins" typeof="schema:Article" class="nist-teaser"
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>
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<div class="nist-teaser__image">
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<div class="entity-reference"> <a href="/news-events/news/2025/01/nist-hosts-second-stakeholder-workshop-digital-twins" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2025/01/24/NIST%20Hosts%20Second%20Stakeholder%20Workshop%20on%20Digital%20Twins.png?itok=fNrm-I4k" width="100" height="69" alt="NIST Hosts Second Stakeholder Workshop on Digital Twins" typeof="foaf:Image" />
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</a>
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</div>
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</div>
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<header>
|
||
<h3 class="nist-teaser__title"><a href="/news-events/news/2025/01/nist-hosts-second-stakeholder-workshop-digital-twins"><span property="schema:name">NIST Hosts Second Stakeholder Workshop on Digital Twins</span>
|
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</a></h3>
|
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<div class="nist-teaser__date">
|
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<div class="daterange"><time datetime="2025-01-01T12:00:00Z">January 1, 2025</time>
|
||
</div>
|
||
|
||
</div>
|
||
|
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</header>
|
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<div class="nist-teaser__content">
|
||
<div property="schema:text" class="text-with-summary"> 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
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
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</article>
|
||
</div>
|
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<div>
|
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<article
|
||
about="/news-events/news/2024/12/nist-researchers-and-collaborators-receive-best-paper-presentation-award" typeof="schema:Article" class="nist-teaser"
|
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>
|
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<div class="nist-teaser__image">
|
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<div class="entity-reference"> <a href="/news-events/news/2024/12/nist-researchers-and-collaborators-receive-best-paper-presentation-award" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2025/01/04/IECON_Best_Paper_Presentation_Award_Serrano_Nov2024.png?itok=WbU2HDxN" width="100" height="33" alt="Dr. Serrano and team receive best paper presentation award at 2024 IEEE IECON international conference" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/news-events/news/2024/12/nist-researchers-and-collaborators-receive-best-paper-presentation-award"><span property="schema:name">NIST Researchers and Collaborators Receive Best Paper Presentation Award at 2024 IEEE IECON</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="daterange"><time datetime="2024-12-12T12:00:00Z">December 12, 2024</time>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div property="schema:text" class="text-with-summary"> Dr. Martin Serrano, Amelie Gyrard, and Eoin Jordan, in collaboration with NIST researchers Eugene Song, Tom Roth, and David Wollman, received a best paper
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/news-events/news/2024/11/nist-engineer-presents-women-manufacturing-summit" typeof="schema:Article" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/news-events/news/2024/11/nist-engineer-presents-women-manufacturing-summit" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2024/11/29/NIST%20Engineer%20Presents%20at%20Women%20in%20Manufacturing%20Summit.png?itok=VA8Gsj94" width="100" height="62" alt="NIST Engineer Presents at Women in Manufacturing Summit" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/news-events/news/2024/11/nist-engineer-presents-women-manufacturing-summit"><span property="schema:name">NIST Engineer Presents at Women in Manufacturing Summit</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="daterange"><time datetime="2024-11-01T12:00:00Z">November 1, 2024</time>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div property="schema:text" class="text-with-summary"> In October 2024, NIST Researcher Rosemary Astheimer presented at the 2024 Women in Manufacturing Summit in Boston, Massachusetts. The Summit, attended by over 2
|
||
|
||
</div>
|
||
|
||
</div>
|
||
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|
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|
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<article
|
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about="/news-events/events/2025/03/workshop-advancing-uv-germicidal-efficacy-measurement-metrology-standards" class="nist-teaser"
|
||
>
|
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<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/news-events/events/2025/03/workshop-advancing-uv-germicidal-efficacy-measurement-metrology-standards" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2025/01/16/NEW%20UV%20Germicidal%20Img.png?itok=jsgg-PUs" width="100" height="84" alt="Abstract blue image Advancing UV Germicidal Efficacy Measurement: Metrology, Standards, Data and Protocols " typeof="foaf:Image" />
|
||
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</a>
|
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</div>
|
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<header>
|
||
<h3 class="nist-teaser__title"><a href="/news-events/events/2025/03/workshop-advancing-uv-germicidal-efficacy-measurement-metrology-standards"><span>Workshop: Advancing UV Germicidal Efficacy Measurement: Metrology, Standards, Data and Protocols</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="smartdate">Tue, Mar 18 - Thu, Mar 20 2025</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> The U.S. Department of Commerce, National Institute of Standards and Technology (NIST) and the International Ultraviolet
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/news-events/events/2025/04/open-industrial-digital-ecosystem-summit" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/news-events/events/2025/04/open-industrial-digital-ecosystem-summit" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2025/01/21/Open%20Industrial%20Digital%20Ecosystem%20Summit%20%281%29.png?itok=JfoDHBmS" width="100" height="84" alt="2025 OIDE Summit Event Visual" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/news-events/events/2025/04/open-industrial-digital-ecosystem-summit"><span>Open Industrial Digital Ecosystem Summit</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="smartdate">Tue, Apr 8 - Fri, Apr 11 2025</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> The Open Industrial Digital Ecosystem Summit is an annual event bringing together thought leaders, experts
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
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|
||
|
||
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</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<div class="margin-y-4">
|
||
</div>
|
||
|
||
<div class="margin-y-4">
|
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|
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<div class="paragraph paragraph--type--dynamic-content-list-topic paragraph--view-mode--default">
|
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<h2 class="nist-block__title"> <div class="string">Projects and Programs</div>
|
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</h2>
|
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<div
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class="nist-block "
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>
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|
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|
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|
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<div>
|
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<article
|
||
about="/programs-projects/development-standards-support-modular-and-autonomous-laboratory-ecosystem" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/programs-projects/development-standards-support-modular-and-autonomous-laboratory-ecosystem" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2025/02/14/AE-standards.png?itok=yqNx10Jl" width="100" height="100" alt="an infographic showing four proposed standards connecting as four joined puzzle pieces" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/programs-projects/development-standards-support-modular-and-autonomous-laboratory-ecosystem"><span>Development of Standards to Support a Modular and Autonomous Laboratory Ecosystem</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> 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
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/programs-projects/metis" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/programs-projects/metis" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2023/12/11/AdobeStock_449179261.jpeg?itok=uI2liJLy" width="89" height="100" alt="A line drawing of a woman's head styled like a classical carved bust" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/programs-projects/metis"><span>METIS</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> A Metrology Exchange to Innovate in Semiconductors
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/programs-projects/hermes-modular-open-source-tools-autonomous-materials-science-experimentation" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/programs-projects/hermes-modular-open-source-tools-autonomous-materials-science-experimentation" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2025/01/08/hermes.png?itok=yjK3K-pv" width="100" height="60" alt="In infographic highlighting the core features of the Hermes software python package, which are Physics Informed Models, Persistent Storage, and Instrument Data Protocols" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/programs-projects/hermes-modular-open-source-tools-autonomous-materials-science-experimentation"><span>Hermes: Modular Open-Source Tools for Autonomous Materials Science Experimentation</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> 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
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/programs-projects/trusted-ai-framework-new-class-standard-reference-materials-and-data-exquisitely" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/programs-projects/trusted-ai-framework-new-class-standard-reference-materials-and-data-exquisitely" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2021/04/14/AI%20for%20SRMs%20and%20SRD.png?itok=eCuT22c2" width="100" height="42" alt="AI for SRMs and SRD" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/programs-projects/trusted-ai-framework-new-class-standard-reference-materials-and-data-exquisitely"><span>Trusted AI framework for a new class of Standard Reference Materials and Data with exquisitely characterized uncertainty for billions of properties</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-badge display-inline-block margin-y-1 nist-badge--blue boolean">Ongoing</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> 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
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<footer>
|
||
<div class="link-list"><a href="/laboratories/projects-programs/topic/248756">View All Projects/Programs</a></div>
|
||
</footer>
|
||
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<div class="margin-y-4">
|
||
|
||
<div class="paragraph paragraph--type--dynamic-content-list-topic paragraph--view-mode--default">
|
||
<h2 class="nist-block__title"> <div class="string">Publications</div>
|
||
</h2>
|
||
<div
|
||
class="nist-block "
|
||
>
|
||
|
||
|
||
<div class="viewsreference"><div class="views-element-container"><div class="js-view-dom-id-31302bf535e5347b2bc33455d236bcffc708afbef7a637aaab274b33f29da42f">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div>
|
||
<article
|
||
about="/publications/nist-conference-papers-fiscal-year-2024" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/publications/nist-conference-papers-fiscal-year-2024"><span>NIST conference papers fiscal year 2024</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="daterange"><time datetime="2024-12-12T12:00:00Z">December 12, 2024</time>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-field nist-field--label-inline text-long">
|
||
<div class="nist-field__label">Author(s)</div>
|
||
<div class="nist-field__item"><span class="nist-author">Kathryn Miller</span>, <span class="nist-author">Myriam Dilawari</span>, <span class="nist-author">Julie Jew</span></div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> This Special Publication represents the work of researchers at professional conferences, as reported by NIST employees in Fiscal Year 2024 (October 1, 2023
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/publications/ccqmretrospectoscope-reference-manual-detailed-reference-ccqmretrospectoscope-suite-0" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/publications/ccqmretrospectoscope-reference-manual-detailed-reference-ccqmretrospectoscope-suite-0"><span>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</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="daterange"><time datetime="2024-12-12T12:00:00Z">December 12, 2024</time>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-field nist-field--label-inline text-long">
|
||
<div class="nist-field__label">Author(s)</div>
|
||
<div class="nist-field__item"><span class="nist-author">David L. Duewer</span>, <span class="nist-author">Christina Cecelski</span>, <span class="nist-author">Michael Nelson</span></div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> This document is a detailed reference manual for the 1-September-2024 version of the CCQM_Retrospectoscope system. The CCQM_Retrospectoscope combines a
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/publications/workshop-report-autonomous-methodologies-accelerating-x-ray-measurements" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/publications/workshop-report-autonomous-methodologies-accelerating-x-ray-measurements"><span>Workshop Report on Autonomous Methodologies for Accelerating X-ray Measurements</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="daterange"><time datetime="2024-11-05T12:00:00Z">November 5, 2024</time>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-field nist-field--label-inline text-long">
|
||
<div class="nist-field__label">Author(s)</div>
|
||
<div class="nist-field__item"><span class="nist-author">Zachary Trautt</span>, <span class="nist-author">Austin McDannald</span>, <span class="nist-author">Brian DeCost</span>, <span class="nist-author">Howard Joress</span>, <span class="nist-author">A. Gilad Kusne</span>, <span class="nist-author">Francesca Tavazza</span>, Tom Blanton</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> 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
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
|
||
</div>
|
||
<div>
|
||
<article
|
||
about="/publications/data-needs-and-challenges-quantum-dot-devices-automation" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/publications/data-needs-and-challenges-quantum-dot-devices-automation"><span>Data needs and challenges for quantum dot devices automation</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="daterange"><time datetime="2024-10-31T12:00:00Z">October 31, 2024</time>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__type">
|
||
<div class="nist-field nist-field--label-inline text-long">
|
||
<div class="nist-field__label">Author(s)</div>
|
||
<div class="nist-field__item"><span class="nist-author">Justyna Zwolak</span>, <span class="nist-author">Jacob Taylor</span>, Reed Andrews, Jared Benson, <span class="nist-author">Garnett Bryant</span>, Donovan Buterakos, Anasua Chatterjee, Sankar Das Sarma, Mark Eriksson, Eliska Greplova, <span class="nist-author">Michael Gullans</span>, Fabian Hader, Tyler Kovach, Pranav S. Mundada, Mick Ramsey, Torbjoern Rasmussen, Brandon Severin, Anthony Sigillito, Brennan Undseth, <span class="nist-author">Brian Weber</span></div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> Gate-defined quantum dots are a promising candidate system for realizing scalable, coupled qubit systems and serving as a fundamental building block for quantum
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<div class="margin-y-4">
|
||
|
||
<div class="paragraph paragraph--type--dynamic-content-list-topic paragraph--view-mode--default">
|
||
<h2 class="nist-block__title"> <div class="string">Software</div>
|
||
</h2>
|
||
<div
|
||
class="nist-block "
|
||
>
|
||
|
||
|
||
<div class="viewsreference"><div class="views-element-container"><div class="js-view-dom-id-386431dde414ee2ef043c867e3151a8b24813aad41cf76d533508bf8b320712b">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div>
|
||
|
||
<article
|
||
about="/services-resources/software/nist-data-alignment-tool" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/services-resources/software/nist-data-alignment-tool"><span>The NIST Data Alignment Tool</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
<div class="daterange"><time datetime="2022-08-12T12:00:00Z">August 12, 2022</time>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> 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
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
|
||
<article
|
||
about="/services-resources/software/extreme-winds-and-wind-effects-structures" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/services-resources/software/extreme-winds-and-wind-effects-structures"><span>Extreme Winds and Wind Effects on Structures</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> The Engineering Laboratory has an established long-term collaboration with the NIST Statistical Engineering Division in the analysis of extreme wind speeds and
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
|
||
<article
|
||
about="/services-resources/software/curated-archive-covid-19-research-challenge-dataset-cord19-cdcs-nist" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__image">
|
||
<div class="entity-reference"> <a href="/services-resources/software/curated-archive-covid-19-research-challenge-dataset-cord19-cdcs-nist" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2020/04/17/cord19_snapshot.png?itok=iMMrP7lP" width="100" height="62" alt="cord19_snapshot" typeof="foaf:Image" />
|
||
|
||
</a>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/services-resources/software/curated-archive-covid-19-research-challenge-dataset-cord19-cdcs-nist"><span>Curated Archive for COVID-19 Research Challenge Dataset (cord19-cdcs-nist)</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> This GitHub repository contains a downloadable snapshot of National Institute of Standards and Technology's COVID-19 Data Repository, curated from the COVID-19
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
<div>
|
||
|
||
<article
|
||
about="/services-resources/software/recipe" class="nist-teaser"
|
||
>
|
||
<div class="nist-teaser__content-wrapper">
|
||
<header>
|
||
<h3 class="nist-teaser__title"><a href="/services-resources/software/recipe"><span>RECIPE</span>
|
||
</a></h3>
|
||
<div class="nist-teaser__date">
|
||
|
||
</div>
|
||
|
||
</header>
|
||
<div class="nist-teaser__content">
|
||
<div class="text-with-summary"> 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
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
</article>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<footer>
|
||
<div class="link-list"><a href="/services-resources/software/topic/248756">View All Software</a></div>
|
||
</footer>
|
||
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
<div class="margin-y-4">
|
||
|
||
<div class="paragraph paragraph--type--dynamic-content-list-topic paragraph--view-mode--default">
|
||
<h2 class="nist-block__title"> <div class="string">Tools and Instruments</div>
|
||
</h2>
|
||
<div
|
||
class="nist-block "
|
||
>
|
||
|
||
|
||
<div class="viewsreference"><div class="views-element-container"><div class="js-view-dom-id-231b407944aca743b5856d049ca990b84db26571ef4d664c03349173709ad7c0">
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
<div>
|
||
|
||
<article
|
||
about="/laboratories/tools-instruments/high-throughput-combinatorial-screening-tool-characterization-thin" class="nist-teaser"
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>
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<div class="nist-teaser__image">
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<div class="entity-reference"> <a href="/laboratories/tools-instruments/high-throughput-combinatorial-screening-tool-characterization-thin" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2023/02/02/HTPFSI.jpg?itok=0KZEGE25" width="75" height="100" alt="hotograph of the custom high temperature (>300 K) scanning instrument that measures electrical resistivity and Seebeck coefficient " typeof="foaf:Image" />
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<header>
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<h3 class="nist-teaser__title"><a href="/laboratories/tools-instruments/high-throughput-combinatorial-screening-tool-characterization-thin"><span>High Throughput (Combinatorial) Screening Tool for Characterization of Thin Film Thermoelectrics as a Function Temperature</span>
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</a></h3>
|
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</header>
|
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<div class="nist-teaser__content">
|
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<div class="text-with-summary"> Description High-throughput (combinatorial) metrologies have evolved as a useful approach to rapidly determine the composition-structure-property relationships
|
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</div>
|
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<h2 class="nist-block__title"> <div class="string">Awards</div>
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about="/awards/ellen-voorhees-receives-gerald-salton-award" class="nist-teaser"
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<div class="entity-reference"> <a href="/awards/ellen-voorhees-receives-gerald-salton-award" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2020/05/20/portrait-030120.jpg?itok=5kpncFPQ" width="79" height="100" alt="Head shot of Ellen Voorhees." typeof="foaf:Image" />
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<h3 class="nist-teaser__title"><a href="/awards/ellen-voorhees-receives-gerald-salton-award"><span>Ellen Voorhees receives Gerald Salton Award</span>
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<div class="nist-teaser__content">
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<div class="text-long"> Congratulations to Ellen Voorhees on receiving the Gerard Salton Award at the ACM Conference on Research and Development in Information
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<div class="entity-reference"> <a href="/awards/ellen-voorhees-receives-honorary-doctor-science-degree-university-glasgow" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2023/01/18/Ron-Brown.Vorheees.jpg?itok=ZXqlpdC3" width="79" height="100" alt="2022 Ron Brown Excellence Award Ellen Voorhees" typeof="foaf:Image" />
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<h3 class="nist-teaser__title"><a href="/awards/ellen-voorhees-receives-honorary-doctor-science-degree-university-glasgow"><span>Ellen Voorhees Receives Honorary Doctor of Science Degree from the University of Glasgow</span>
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<div class="nist-teaser__content">
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<div class="text-long"> Congratulations to Ellen Voorhees (IAD) for receiving an honorary Doctor of Science degree from the University of Glasgow in recognition of
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about="/awards/ellen-voorhees-wins-ron-brown-excellence-innovation-award" class="nist-teaser"
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<div class="entity-reference"> <a href="/awards/ellen-voorhees-wins-ron-brown-excellence-innovation-award" hreflang="en"><img loading="lazy" src="/sites/default/files/styles/thumbnail/public/images/2020/05/20/portrait-030120.jpg?itok=5kpncFPQ" width="79" height="100" alt="Head shot of Ellen Voorhees." typeof="foaf:Image" />
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<h3 class="nist-teaser__title"><a href="/awards/ellen-voorhees-wins-ron-brown-excellence-innovation-award"><span>Ellen Voorhees Wins Ron Brown Excellence in Innovation Award</span>
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<div class="nist-teaser__content">
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<div class="text-long"> Dr. Ellen M. Voorhees was announced as the recipient of the Ron Brown Excellence Award in Innovation as part of the 73rd Annual Department
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<h3 class="nist-teaser__title"><a href="/awards/aaron-gilad-kusne-named-aps-fellow"><span>Aaron Gilad Kusne Named APS Fellow</span>
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<div class="nist-teaser__content">
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<div class="text-long"> For pioneering work on applications of machine learning for automated delineation of materials phase diagrams, and for the development of
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