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Search Publications

NIST Authors in Bold

Displaying 2026 - 2050 of 74079

Why Indoor Chemistry Matters: A National Academies Consensus Report

July 14, 2022
Author(s)
Rima Habre, Megan Harris, David Dorman, Jonathan Abbatt, William Bahnfleth, Ellison Carter, Delphine Farmer, Gillian Gawne-Mittelstaedt, Allen Goldstein, Vicki Grassian, Glenn Morrison, Jordan Peccia, Kimberly Prather, Dustin Poppendieck, Manabu Shiraiwa, Heather Stapleton, Meredith Williams

Crystallize it before it diffuses: Thin -film growth of the phosphorus-rich semiconductor CuP2

July 13, 2022
Author(s)
Feng Yi, David A. LaVan, Andrea Crovetto, Danny Kojda, Karen Heinselman, Klaus Habicht, Thomas Unold, Andriy Zakutayev
Numerous phosphorus-rich metal phosphides containing both P-P bonds and metal-P bonds are known from the solid state chemistry literature. Yet, very little is known about the thin- film synthesizability and properties of even the simplest binary compounds

The Expanding Role of National Metrology Institutes in the Quantum Era

July 12, 2022
Author(s)
Alexander Tzalenchuk, Nicolas Spethmann, Tim Prior, Jay H. Hendricks, Yijie Pan, Vladimir Bubanja, Guilherme Temporao, Dai-Hyuk Yu, Damir Ilic, Barbara L. Goldstein
Now that all base units are defined in terms of fundamental constants and can thus — at least in principle — be realized anytime and anywhere, rather than through a measurement chain leading back to unique physical artefacts, who holds the traceability

Discovery of digital forensic dataset characteristics with CASE-Corpora

July 11, 2022
Author(s)
Alexander Nelson
The digital forensics community has generated training and reference data over the course of decades. However, significant challenges persist today in the usage pipeline for that data, from research problem formulation, through discovery of applicable

Human Preferences as dueling Bandits

July 11, 2022
Author(s)
Xinyi Yan, Chengxi Luo, Charles Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells
The dramatic improvements in core information retrieval tasks engendered by neural rankers create a need for novel evaluation methods. If every ranker returns highly relevant items in the top ranks, it becomes difficult to recognize meaningful differences

Inclusive Language in NIST Technical Series Publications

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

New Thermodynamic Mixture Models for HFO-containing Blends

July 11, 2022
Author(s)
Ian Bell
With the modern use of fluorinated olefins as refrigerants, there is a pressing need for reference thermodynamic models to design components and cycles. Recent activities at NIST are summarized, including a survey of existing literature data and results

Too many Relevants: Whither Cranfield Test Collections?

July 11, 2022
Author(s)
Ellen M. Voorhees, Nick Craswell, Jimmy Lin
This paper presents the lessons regarding the construction and use of large Cranfield-style test collections learned from the TREC 2021 Deep Learning track. The corpus used in the 2021 edition of the track was much bigger than the corpus used in previous

WELD TRACK DISTORTION IN LASER POWDER BED FUSION OF NICKEL SUPERALLOY 625

July 11, 2022
Author(s)
Jason Fox, Christopher Evans, Aarush Sood, Romaine Isaacs, Brigid Mullany, Angela Allen, Ed Morse
Laser powder bed fusion (LPBF) is one of a group of manufacturing technologies capable of producing complex structures and surfaces in small batches and with reduced lead time. Materials ranging from light metals (e.g., aluminum alloys) to high temperature

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

Benchmarking Active Learning Strategies for Materials Optimization and Discovery

July 9, 2022
Author(s)
Alex Wang, Haotong Liang, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne
Autonomous physical science is revolutionizing materials science. In these systems, machine learning (ML) controls experiment design, execution and analysis in a closed loop. Active learning, the ML field of optimal experiment design, selects each

Enhancing untargeted metabolomics using metadata-based source annotation

July 7, 2022
Author(s)
Scott Jackson, Paulina Piotrowski, Nancy Lin, Sandra M. Da Silva, Katrice Lippa, Christina Jones, Stephanie Servetas, Julia Gauglitz, Kiana West, Wout Bittremieux, Candace Williams, Kelly Weldon, Morgan Panitchpakdi, Francesca Ottavio, Christine Aceves, Elizabeth Brown, Nicole Sikora, Alan Jarmusch, Cameron Martino, Pieter Dorrestein, Rob Knight, Rachel Dutton, Austin Swafford, Monica Guma, Norberto Peporine Lopes, Brigid Boland, Michelli Oliveira, Mark Manary, Maria Gloria Dominguez-Bello, Kenneth Wright, Julia Beauchamp-Walters, Kyung Rhee, Jae Kim, Megan Doty, Robert Terkeltaub, David Gonzalez, Curt Wittenberg, Tatyana Kalashnikova, Parambir Dulai, Douglas Galasko, Rima Kaddurah Daouk, Robert Mills, Paulo Louzada-Junior, Rene Donizeti Ribeiro Oliveira, Thaigo Mattar Cunha, Flavio Protaso Veras, Rodrigo Moreira Silva, Juliano Geraldo Amaral, Lucas Maciel Mauriz Marques, Barry Bradford, Lourdes Herrera, Gail Ackermann, Dana Withrow, Daniela Vargas Robles, Kate Sprecher, Clarisse Marotz, Mingxun Wang, Emmanuel Elijah, Dominic Nguyen, Qiyun Zhu, Daniel McDonald, Edgar Diaz, Pedro Belda-Ferre, Katharina Spengler, Abigail Johnson, Gregory Humphrey, MacKenzie Bryant, Tara Schwartz, Lindsay Goldasich, Fernando Vargas, Roxana Coras, Justin Schaffer, Erfan Sayyari, Kathleen Dorrestein, Michael Meehan, Anupriya Tripathi
Human untargeted metabolomics studies annotate only 10% of molecular features. We introduce reference-data-driven analysis to match metabolomics tandem mass spectrometry (MS/MS) data against metadata-annotated source data as a pseudo-MS/MS reference
Displaying 2026 - 2050 of 74079