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Information Technology

Data & informatics

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Displaying 51 - 75 of 661

Inclusive Language in NIST Technical Series Publications [Withdrawn]

July 11, 2022
Author(s)
Kathryn Miller
The National Institute of Standards and Technology (NIST) Research Library occupies the unique position of serving NIST both as publisher of the NIST Technical Series, and in an archival capacity, responsible for collecting and preserving copies of NIST's

What Makes a Good Podcast Summary?

July 11, 2022
Author(s)
Rezvaneh Rezapour, Sravana Reddy, Rosie Jones, Ian Soboroff
Abstractive summarization of podcasts is motivated by the growing popularity of podcasts and the needs of their listeners. Podcasting is a markedly different domain from news and other media that are commonly studied in the context of automatic

Application of machine learning to reflection high-energy electron diffraction images for automated structural phase mapping

June 29, 2022
Author(s)
Haotong Liang, Valentin Stanev, A. Gilad Kusne, Yuuto Tsukahara, Ama Itou, Ryota Takahashi, Mikk Lippmaa, Ichiro Takeuchi
We have developed a phase mapping method based on machine learning analysis of reflection high-energy electron diffraction (RHEED) images. RHEED produces diffraction patterns containing a wealth of static and dynamic information and is commonly used to

Overview of TREC 2021

May 6, 2022
Author(s)
Ian Soboroff
TREC 2021 is the thirtieth edition of the Text REtrieval Conference (TREC). The main goal of TREC is to create the evaluation infrastructure required for large-scale testing of retrieval technology. This includes research on best methods for evaluation as

A Roadmap for LIMS at NIST Material Measurement Laboratory

April 11, 2022
Author(s)
Gretchen Greene, Jared Ragland, Zachary Trautt, June W. Lau, Raymond Plante, Joshua Taillon, Adam Abel Creuziger, Chandler A. Becker, Joe Bennett, Niksa Blonder, Lisa Borsuk, Carelyn E. Campbell, Adam Friss, Lucas Hale, Michael Halter, Robert Hanisch, Gary R. Hardin, Lyle E. Levine, Samantha Maragh, Sierra Miller, Chris Muzny, Marcus William Newrock, John Perkins, Anne L. Plant, Bruce D. Ravel, David J. Ross, John Henry J. Scott, Christopher Szakal, Alessandro Tona, Peter Vallone
Instrumentation generates data faster and in higher quantity than ever before, and interlaboratory research is in historic demand domestically and internationally to stimulate economic innovation. Strategic mission needs of the NIST Material Measurement

NIST Conference Papers Fiscal Year 2019: Engineering Laboratory

April 8, 2022
Author(s)
Kathryn Miller
NIST is committed to the idea that results of federally funded research are a valuable national resource and a strategic asset. To the extent feasible and consistent with law, agency mission, resource constraints, and U.S. national, homeland, and economic

The complete sequence of a human genome

March 31, 2022
Author(s)
Sergey Nurk, Sergey Koren, Arang Rhie, Mikko Rautiainen, Jennifer McDaniel, Nathanael David Olson, Justin Wagner, Justin Zook, Evan Eichler, Karen Miga, Adam Phillippy
Since its initial release in 2000, the human reference genome has covered only the euchromatic fraction of the genome, leaving important heterochromatic regions unfinished. Addressing the remaining 8% of the genome, the Telomere-to-Telomere (T2T)

Enabling Traceability in Agri-Food Supply Chains Using an Ontological Approach

March 25, 2022
Author(s)
Farhad Ameri, Evan K. Wallace, Reid Yoder, Frank H. Riddick
Traceability of food products to their sources is critical for quick responses to food emergencies. US law now requires stakeholders in the agri-food supply chain to support traceability by tracking food materials they acquire and sell. However, having the

Recent Advances and Applications of Deep Learning Methods in Materials Science

February 24, 2022
Author(s)
Kamal Choudhary, Brian DeCost, Chi Chen, Anubhav Jain, Francesca Tavazza, Ryan Cohn, Cheol WooPark, Alok Choudhary, Ankit Agrawal, Simon Billinge, Elizabeth Holm, ShyuePing Ong, Chris Wolverton
Deep learning (DL) is one of the fastest growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities. Deep learning allows analysis of unstructured data and automated

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping

February 16, 2022
Author(s)
A. Gilad Kusne, Austin McDannald, Brian DeCost
Application of artificial intelligence (AI), and more specifically machine learning, to the physical sciences has expanded significantly over the past decades. In particular, science-informed AI, also known as scientific AI or inductive bias AI, has grown

FAIR Digital Object Demonstrators 2021

January 18, 2022
Author(s)
Peter Wittenburg, Ivonne Anders, Christophe Blanchi, Merret Buurman, Carole Goble, Jonas Grieb, Alex Hardisty, Sharif Islam, Thomas Jejkal, Tibor Kalman, Christine Kirkpatrick, Laurence Lannom, Thomas Lauer, Giridhar Manepalli, Karsten Peters-von Gehlen, Andreas Pfeil, Robert Quick, Mark van de Sanden, Ulrich Schwardmann, Stian Soiland-Reyes, Rainer Stotzka, Zachary Trautt, Dieter Van Uytvanck, Claus Weiland, Philipp Wieder
This paper gives a summary of implementation activities in the realm of FAIR Digital Objects (FDO). It gives an idea which software components are robust and used for many years, which components are comparatively new and are being tested out in pilot

NIST Conference Papers Fiscal Year 2018, Volume 1: Engineering Laboratory

January 3, 2022
Author(s)
Kathryn Miller
NIST is committed to the idea that results of federally funded research are a valuable national resource and a strategic asset. To the extent feasible and consistent with law, agency mission, resource constraints, and U.S. national, homeland, and economic

IN-PROCESS DATA FUSION FOR PROCESS MONITORING AND CONTROL OF METAL ADDITIVE MANUFACTURING

November 17, 2021
Author(s)
Zhuo Yang, Yan Lu, Simin Li, Jennifer Li, Yande Ndiaye, Hui Yang, Sundar Krishnamurty
To accelerate the adoption of Metal Additive Manufacturing (MAM) for production, an understanding of MAM process-structure-property (PSP) relationships is indispensable for quality control. A multitude of physical phenomena involved in MAM necessitates the

Searching for Answers in a Pandemic: An Overview of TREC-COVID

September 1, 2021
Author(s)
Ellen Voorhees, Ian Soboroff, Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Lucy L. Wang, William Hersh
We present an overview of the TREC-COVID Challenge, an information retrieval (IR) shared task to evaluate search on scientific literature related to COVID-19. The goals of TREC-COVID include the construction of a pandemic search test collection and the

A Novel Data Standards Platform using ISO Core Components Technical Specification

August 1, 2021
Author(s)
Nenad Ivezic, Boonserm Kulvatunyou, Elena Jelisic, Hakju Oh, Simon P. Frechette, Vijay Srinivasan
It is generally observed in inter-organizational communication that present-day data exchange standards are too costly and too complex to develop and use. These problems in data exchange are felt keenly by manufacturing industry with its vast supply chains

Challenges of Accuracy in Germline Clinical Sequencing Data

July 20, 2021
Author(s)
Justin Zook, Ryan Poplin, Mark DePristo
Physicians are increasingly using clinical sequencing tests to establish diagnoses of patients who might have genetic disorders, which means that accuracy of sequencing and interpretation are important elements in ensuring the benefits of genetic testing

Mapping employee networks through the NIST Interactions Survey

June 21, 2021
Author(s)
Laura Espinal, Camila Young, Justyna Zwolak
As we begin to adopt approaches to help the U.S. National Institute of Standards and Technology (NIST) become a more inclusive organization, we need a way to assess the current level of inclusivity. The extent to which individuals have access to
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