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Search Publications

NIST Authors in Bold

Displaying 2126 - 2150 of 74178

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

Incommensurate Magnetic Orders and Possible Topological Hall Effect in the Square-Net Centrosymmetric EuGa 2 Al 2 System

July 7, 2022
Author(s)
Jaime Moya, Shiming Lei, Eleanor Clements, Caitlin Kengle, Stella Sun, Kevin Allen, Qizhi Li, Y. Peng, Ali Husain, Matteo Mitrano, Matthew Krogstad, Raymond Osborn, Anand Puthirath, Songxue Chi, Lisa Debeer-Schmitt, Jonathan N. Gaudet, P. Abbamonte, Jeffrey Lynn, E. Morosan
Neutron diffraction on the centrosymmetric square-net magnet EuGa 2Al 2 reveals multiple incommensurate magnetic states (AFM1,2,3) in zero field. In applied field, a new magnetic phase (A) is identified from magnetization and transport measurements

The need for multicomponent gas standards for breath biomarker analysis

July 7, 2022
Author(s)
Kavita Jeerage, Jennifer Berry, Jacolin Murray, Cassie Goodman, Paulina Piotrowski, Christina Jones, Christina Cecelski, Jennifer Carney, Katrice Lippa, Tara Lovestead
Exhaled breath is a non-invasive, information-rich matrix with the potential to diagnose or monitor disease, including infectious disease. Despite significant effort dedicated to biomarker identification in case control studies, very few breath tests are

Rapid GC-MS as a Screening Tool for Forensic Fire Debris Analysis

July 6, 2022
Author(s)
Briana Capistran, Edward Sisco
Techniques developed for the screening of forensic samples can be useful for increasing sample throughput and decreasing backlog in forensic laboratories. One such technique, rapid gas chromatography mass spectrometry (GC-MS), allows for fast sample

Schmid Factor Crack Propagation and Tracking Crystallographic Texture Markers of Microstructural Condition in Direct Energy Deposition Additive Manufacturing of Ti-6Al-4V

July 6, 2022
Author(s)
Alec Saville, Jake Benzing, Sven Vogel, Jessica Buckner, Collin Donohoue, Andrew Kustas, Adam Creuziger, Kester Clarke, Amy Clarke
Metallic additive manufacturing (AM) provides a customizable and tailorable manufacturing process for new engineering designs and technologies. The greatest challenge currently facing metallic AM is maintaining control of microstructural evolution during

All-Printed Ultrahigh-Responsivity MoS2 Nanosheet Photodetectors Enabled by Megasonic Exfoliation

July 5, 2022
Author(s)
Lee J. Richter, Lidia Kuo, Vinod Sangwan, Sonal Rangnekar, Ting-Ching Chu, David Lam, Shehao Zhu, Ruipeng Li, Julia Downing, Benjamin Luijten, Lincoln Lauhon, Mark Hersam
Printed two-dimensional materials, derived from solution-processed inks, offer scalable and cost-effective routes to mechanically flexible optoelectronics. With micron-scale control and broad processing latitude, aerosol-jet printing (AJP) is of particular

Convective heat transfer in pine forest litter beds

July 5, 2022
Author(s)
Eric Mueller, Michael Gallagher, Nicholas Skowronski, Rory Hadden
To properly parameterize physics-based models of wildland fire behavior, it is necessary to understand the magnitude of convective heat transfer in various scenarios. In order to do so, we isolated the convective heating process in an idealized wildland

Status Report on the Third Round of the NIST Post-Quantum Cryptography Standardization Process

July 5, 2022
Author(s)
Gorjan Alagic, David Cooper, Quynh Dang, Thinh Dang, John M. Kelsey, Jacob Lichtinger, Yi-Kai Liu, Carl A. Miller, Dustin Moody, Rene Peralta, Ray Perlner, Angela Robinson, Daniel Smith-Tone, Daniel Apon
The National Institute of Standards and Technology is in the process of selecting public-key cryptographic algorithms through a public, competition-like process. The new public-key cryptography standards will specify additional digital signature, public

Suppression of filament defects in embedded 3D printing

July 5, 2022
Author(s)
Leanne Friedrich, Ross Gunther, Jonathan Seppala
Embedded 3D printing enables the manufacture of soft, intricate structures. In the technique, a nozzle is embedded into a viscoelastic support bath and extrudes filaments or droplets. While embedded 3D printing expands the printable materials space to low

Transition-edge Sensors

July 5, 2022
Author(s)
Douglas Bennett
Near the end of the 20th century, there was renewed excitement about the potential appli- cations of a type of superconducting detector known as the transition-edge sensor (TES). In the intervening decades there has been a paradigm shift from TESs as a
Displaying 2126 - 2150 of 74178