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Search Publications

NIST Authors in Bold

Displaying 3376 - 3400 of 74634

The science of the host-virus network

November 24, 2021
Author(s)
Gregory Albery, Daniel J. Becker, Liam Brierley, Cara Brook, Rebecca Christofferson, Lily Cohen, Tad Dallas, Evan Eskew, Anna Fagre, Maxwell Farrell, Emma Glennon, Sarah Guth, Maxwell Joseph, Nardus Mollentze, Ben Neely, Timothee Poisot, Angela Rasmussen, Sadie Ryan, Anna Siodin, Stephanie Seifert, Erin Sorrell, Colin Carlson
Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral

Quantitative Evaluation of Footwear Evidence: Initial Workflow for an End-to-End System

November 23, 2021
Author(s)
Gautham Venkatasubramanian, Vighnesh Hegde, Steven Lund, Hariharan K. Iyer, Martin Herman
In the U.S., footwear examiners make decisions about the sources of crime scene shoe impressions using subjective criteria. This has raised questions about the accuracy, repeatability, reproducibility, and scientific validity of footwear examinations

The MaCFP Condensed Phase Working Group: A Structured, Global Effort Towards Pyrolysis Model Development

November 23, 2021
Author(s)
Isaac Leventon, Benjamin Batiot, Morgan Bruns, Simo Hostikka, Yuji Nakamura, Pedro Reszka, Thomas Rogaume, Stanislav Stoliarov
The International Association for Fire Safety Science (IAFSS) Working Group on Measurement and Computation of Fire Phenomena (i.e., the MaCFP Working Group) has been established as a global collaborative effort between experimentalists and modelers in the

Uncertainty Prediction for Machine Learning Models of Material Properties

November 23, 2021
Author(s)
Francesca Tavazza, Brian DeCost, Kamal Choudhary
Uncertainty quantification in artificial intelligence (AI)-based predictions of material properties is of immense importance for the success and reliability of AI applications in materials science. While confidence intervals are commonly reported for

Client-side XSLT, Validation and Data Security

November 22, 2021
Author(s)
Wendell Piez
Client-side XSLT (CSX) is often used in scenarios where data (in XML) from a remote server is provided to a user who processes it in some way, for example rendering it locally for display. That is, the server provides the data and the client does the work

Enhancement of electromagnetically induced transparency based Rydberg-atom electrometry through population repumping

November 22, 2021
Author(s)
chris holloway, Nik Prajapati, MATTHEW SIMONS, Samuel Berweger, Aly Artusio-Glimpse, Amy Robinson
We demonstrate the improvement of Rydberg electrometry based on electromagnetically induced transparency (EIT) through the use of a ground state repumping laser. Though there are many factors that limit the sensitivity of radio frequency field measurements

Gradient Decomposition Methods for Training Neural Networks with Non-Ideal Synaptic Devices

November 22, 2021
Author(s)
Junyun Zhao, Siyuan Huang, Osama Yousuf, Yutong Gao, Brian Hoskins, Gina Adam
While promising for high capacity machine learning accelerators, memristor devices have non-idealities that prevent software-equivalent accuracies when used for online training. This work uses a combination of Mini-Batch Gradient Descent (MBGD) to average

Final Report: Quantitative Measures for Footwear Impression Comparisons

November 21, 2021
Author(s)
Martin Herman
This document is the Final Report for the Interagency Agreement between the National Institute of Justice, Office of Justice Programs and the National Institute of Standards and Technology. The goal of this effort has been to research and develop

Systematically Controlling Acceptor Fluorination Optimizes Hierarchical Morphology, Vertical Phase Separation, and Efficiency in Non-Fullerene Organic Solar Cells

November 21, 2021
Author(s)
Guoping Li, Xiaohua Zhang, Subhrangsu Mukherjee, Wei Huang, Ding Zheng, Liang-Wen Feng, Yao Chen, Jianglin Wu, Vinod Sangwan, Mark Hersam, Dean DeLongchamp, Junsheng Yu, Antonio Facchetti, Tobin Marks
Non-fullerene acceptor (NFA) end group (EG) functionalization, especially by fluorination, affects not only the energetics but also the morphology of bulk-heterojunction (BHJ) organic solar cell (OSC) active layers, thereby influencing the power conversion

Deep Learning Based Link-Level Abstraction for mmWave Communications

November 18, 2021
Author(s)
Jian Wang, Neeraj Varshney, Jiayi Zhang, David W. Griffith, Nada T. Golmie
Link abstraction is an efficient way for predicting link-level performance (e.g., whether the receiver successfully receives packets through communication links). It can be used to support system-level simulation and facilitate link adaption. Nonetheless

Measurement of electric-field noise from interchangeable samples with a trapped-ion sensor

November 18, 2021
Author(s)
Kyle McKay, Dustin Hite, Philip D. Kent, Shlomi S. Kotler, Dietrich Leibfried, Daniel Slichter, Andrew C. Wilson, David P. Pappas
We demonstrate the use of a single trapped ion as a sensor to probe electric-field noise from interchangeable test surfaces. As proof of principle, we measure the magnitude and distance dependence of electric-field noise from two ion-trap-like samples with

Pauli blocking of atom-light scattering

November 18, 2021
Author(s)
Christian Sanner, Lindsay Sonderhouse, Ross Hutson, Lingfeng Yan, William Milner, Jun Ye
Transition rates between coupled states in a quantum system depend on the density of available final states. The radiative decay of an excited atomic state has been suppressed by reducing the density of electromagnetic vacuum modes near the atomic

Using CO2 Monitoring to Manage Ventilation in Buildings

November 18, 2021
Author(s)
Andrew K. Persily
The measurement of indoor carbon dioxide concentrations has been used for many years to assess and control building ventilation rates, as well as to characterize indoor air quality. Over the years these applications of indoor CO2 monitoring have been

A Comparison of Particle Size Distribution and Morphology Data acquired using Lab-based and Commercially Available Techniques: Application to Stainless Steel Powder

November 17, 2021
Author(s)
Justin Whiting, Edward Garboczi, Vipin Tondare, John Henry J. Scott, Alkan Donmez, Shawn P. Moylan
The particle size distribution (PSD) and particlemorphology ofmetal powders undoubtedly affects the quality of parts produced by additivemanufacturing (AM). It is, therefore, crucial to accurately knowthe PSD and morphology of these powders. There exist
Displaying 3376 - 3400 of 74634