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Displaying 1476 - 1500 of 143757

Self-Diffusion and Binary-Diffusion Coefficients in Gases

February 29, 2024
Author(s)
Donald R. Burgess Jr.
In this work, we compiled and evaluated both self-diffusion and binary-diffusion coefficients D for gases as a function of temperature. In this paper, we provide recommended values for the diffusion coefficients at standard room temperature 298.15 K (D298)

The Four-sinker Densimeter: A New Instrument for the Combined Investigation of Accurate Densities and Sorption Phenomena of Gases and Gas Mixtures

February 29, 2024
Author(s)
Luca Bernadini, Reiner Kleinrahm, Katharina Moritz, Mark O. McLinden, Markus Richter
An apparatus for high-accuracy gas density and adsorption measurements over the range of temperature from (193 to 423) K and pressure from (0 to 15) MPa is described. This instrument is based on the two-sinker densimetry principle and incorporates a

Challenges of Assured Autonomy

February 28, 2024
Author(s)
D. Richard Kuhn
This article summarizes some recent novel approaches to the problem of verification, testing, and assurance of autonomous systems. These include proxy verification and combinatorial methods for input space coverage measurement, which also has applications

Correlating Near-Infrared Spectra to Bulk Properties in Polyolefins

February 28, 2024
Author(s)
Bradley Sutliff, Shailja Goyal, Tyler Martin, Peter Beaucage, Debra Audus, Sara Orski
The industry standard for sorting plastic wastes is near-infrared (NIR) spectroscopy, which offers rapid and nondestructive identification of various plastics. However, NIR does not provide insights into the chain composition, conformation, and topology of

The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

February 28, 2024
Author(s)
Connor V. Headley, Roberto J. Herrera del Valle, Ji Ma, Prasanna Balachandran, Vijayabarathi Ponnambalam, Saniya LeBlanc, Dylan Kirsch, Joshua B. Martin
Through the integration of machine learning (ML) techniques alongside additive manufacturing (AM) experimentation, we demonstrate an iterative process to rapidly predict laser-material interactions and melt pool geometries throughout the build parameter

Increased instantaneous bandwidth of Rydberg atom electrometry with an optical frequency comb probe

February 27, 2024
Author(s)
Aly Artusio-Glimpse, David Long, Sean Bresler, Nik Prajapati, Dangka Shylla, Andrew Rotunno, Matt Simons, Samuel Berweger, Noah Schlossberger, Thomas W. LeBrun, Christopher L. Holloway
We show that the use of a probe optical frequency comb leads to dramatically improved bandwidth (as high as 12+/-1 MHz) for the detection of modulated radio frequencies in Rydberg atom-based electrometry.

Photonic bandgap microcombs at 1064 nm

February 27, 2024
Author(s)
Gregory Spektor, Jizhao Zang, Atasi Dan, Travis Briles, Grant Brodnik, Haixin Liu, Jennifer Black, David Carlson, Scott Papp
Microresonator frequency combs and their design versatility have revolutionized research areas from data communication to exoplanet searches. While microcombs in the 1550 nm band are well documented, there is interest in using microcombs in other bands

Stationary solitary waves in F = 1 spin-orbit-coupled Bose-Einstein condensates

February 27, 2024
Author(s)
Ian Spielman, Amilson Fritsch, Panayotis Kevrekidis, T. Mithun, G. Koutsokostas, D. Frantzeskakis
We consider solitonic excitations above the ground state of $F=1$ spin orbit coupled Bose-Einstein condensates (SOBECs). The low energy properties of SOBECs in any of the three branches of the single particle dispersion relation can be described by

National Online Informative References (OLIR) Program: Overview, Benefits, and Use

February 26, 2024
Author(s)
Nicole Keller, Stephen Quinn, Karen Scarfone, Matthew Smith, Vincent Johnson
Information and communications technology (ICT) domains – such as cybersecurity, privacy, and Internet of Things (IoT) – have many requirements and recommendations made by national and international standards, guidelines, frameworks, and regulations. An

NIST Cybersecurity Framework 2.0: Resource & Overview Guide

February 26, 2024
Author(s)
Kristina Rigopoulos, Stephen Quinn, Cherilyn Pascoe, Jeffrey Marron, Amy Mahn, Daniel Topper
The NIST Cybersecurity Framework (CSF) 2.0 can help organizations manage and reduce their cybersecurity risks as they start or improve their cybersecurity program. The CSF outlines specific outcomes that organizations can achieve to address risk. Other

NIST Cybersecurity Framework 2.0: Small Business Quick-Start Guide

February 26, 2024
Author(s)
Daniel Eliot
This guide provides small-to-medium sized businesses (SMB), specifically those who have modest or no cybersecurity plans in place, with considerations to kick-start their cybersecurity risk management strategy by using the NIST Cybersecurity Framework (CSF

Single-particle approach to many-body relaxation dynamics

February 26, 2024
Author(s)
Garnett W. Bryant, Marta Pelc, David Dams, Abhishek Ghosh, Miriam Kosik, Marvin Muller, Carsten Rockstuhl, Andres Ayuela, Karolina Slowik
This study addresses the challenge of modeling relaxation dynamics in quantum many-body systems, specifically focusing on electrons in graphene nanoflakes. While quantum many-body techniques effectively describe dynamics up to a few particles, these

Temperature Dependence of Kinetic Friction: A Handle for Plastics Sorting?

February 26, 2024
Author(s)
Chad R. Snyder, Kalman Migler
Sortation is a crucial step in mechanical recycling of post-consumer plastics (PCR) whereby properties such as density or spectral signature are used to separate plastics. However it is difficult to sort polyolefin flakes at high throughput by these

The NIST Cybersecurity Framework (CSF) 2.0

February 26, 2024
Author(s)
Cherilyn Pascoe, Stephen Quinn, Karen Scarfone
The NIST Cybersecurity Framework (CSF) 2.0 provides guidance to industry, government agencies, and other organizations to manage cybersecurity risks. It offers a taxonomy of high-level cybersecurity outcomes that can be used by any organization —

Multi-scale alignment to buried atom-scale devices using Kelvin probe force microscopy

February 24, 2024
Author(s)
Pradeep Namboodiri, Jonathan Wyrick, Gheorghe Stan, Xiqiao Wang, Fan Fei, Ranjit Kashid, Scott Schmucker, Richard Kasica, Bryan Barnes, Michael Stewart, Richard M. Silver
Fabrication of quantum devices by atomic scale patterning with a Scanning Tunneling Microscope (STM) has led to the development of single/few atom transistors, few-donor/quantum dot devices for spin manipulation and arrayed few-donor devices for analog

A branch-and-bound algorithm with growing datasets for large-scale parameter estimation

February 23, 2024
Author(s)
Susanne Sass, Alexander Mitsos, Dominik Bongartz, Ian Bell, Nikolay Nikolov, Angelos Tsoukalas
The solution of nonconvex parameter estimation problems with deterministic global optimization methods is desirable but challenging, especially if large measurement data sets are considered. We propose to exploit the structure of this class of optimization
Displaying 1476 - 1500 of 143757
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