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Displaying 1476 - 1500 of 143775

Chemical Foundations for a Cannabis Breathalyzer (Final Research Report)

March 1, 2024
Author(s)
Tara Lovestead, Jason A. Widegren, Kavita Jeerage
Our ultimate goal is to support the reliable identification of recent cannabis use by developing an infrastructure for evaluation, calibration, and quality control of cannabis breathalyzers akin to that which exists for alcohol breathalyzers. The primary

Designing Nuclear Fuels with a Multi-Principal Element Alloying Approach

March 1, 2024
Author(s)
G. Beausoleil, J. Zillinger, L. Hawkins, T. Yao, Abdullah Weiss, X. Pu, N. Jerred, D. Kaoumi
Previous research has shown that multi-principal element alloys (MPEAs) using chromium, molybdenum, niobium, tantalum, titanium, vanadium, and zirconium can form stable body-centered-cubic (BCC) structures across a large temperature region (25°C to 1000°C)

Effects of Non-Sinusoidal Current PhaseRelationships on Single Flux Quantum Circuits

March 1, 2024
Author(s)
Miranda Thompson, Manuel Castellanos Beltran, Pete Hopkins, Paul Dresselhaus, Samuel Benz
While the relationship between current and phase in a Josephson junction is canonically assumed to be sinusoidal, both the materials of the electrodes and the properties of the barrier will influence this relationship. This current-phase relationship (CΦR)

Implementation of a dual-phase grating 1 interferometer for multi-scale characterization of 2 building materials by tunable dark-field imaging

March 1, 2024
Author(s)
Daniel Josell, Caori Organista, Ruizhi Tang, Zhitian Shi, Konstantins Jefimovs, Lucia Romano, Simon Splindler, Pierre Kibleur, Benjamin Blykers, Marco Stampanoni, Matthieu Boone
The multi-scale characterization of building materials is necessary to understand macroscale mechanical processes, with the goal of developing new, better materials aimed at sustainability. In materials science, imaging methods are often used to

Jingle bells, what are those smells? Indoor VOC emissions from a live Christmas tree

March 1, 2024
Author(s)
Dustin Poppendieck, Rileigh Robertson, Michael F. Link
Every year in the United States conifers are purchased to serve as Christmas trees in homes where they emit volatile organic compounds (VOCs) to the indoor environment. Although many studies have measured the ecosystem-level emissions of VOCs from conifers

Non-Fungible Token Security

March 1, 2024
Author(s)
Peter Mell, Dylan Yaga
Non-fungible token (NFT) technology provides a mechanism to enable real assets (both virtual and physical) to be sold and exchanged on a blockchain. While NFTs are most often used for autographing digital assets (associating one's name with a digital

Working from Home and the Impacts on Residential Buildings

March 1, 2024
Author(s)
William M. Healy, Kristen Cetin, Richard Karg, Chandra Sekhar, Li Song, Jerzy Sowa, Iain Walker, Pawel Wargocki
The COVID-19 pandemic brought about a rapid and dramatic shift in the number of people working from home. For ASHRAE, the shift to more work from home has an impact on its mission. Most notably, key metrics for performance of the built environment

XDRBG: A Proposed Deterministic Random Bit Generator Based on Any XOF

March 1, 2024
Author(s)
John Kelsey, Stefan Lucks, Stephan Muller
A deterministic random bit generator (DRBG) generates pseudorandom bits from an unpredictable seed, i.e. a seed drawn from any ramdom source with sufficient entropy. The current paper formalizes a security notion for a DRBG, allowing the attacker to

Binary Metal-Carbon Phase-Transition Temperatures

February 29, 2024
Author(s)
Donald R. Burgess Jr.
In this work, we compiled and evaluated eutectic and peritectic phase-transition temperatures for metal-carbon (e.g., Co-C, Re-C) and metal carbide-carbon compounds (e.g., Fe3C-C, HfC2-C) and selected recommended values for possible future use on the

FY24 Soft Robotics Report

February 29, 2024
Author(s)
Jennifer Case, Jeremy Marvel
Advances in robotics research have begun incorporating non-traditional materials, such as rubbers and elastomers, into the structure of robots giving them new capabilities. This inclusion of soft materials has highlighted a number of metrology challenges

Melting Points and Boiling Points for the Alkali Metals

February 29, 2024
Author(s)
Nikhila Narayana, Donald R. Burgess Jr.
In this work, we compiled, evaluated, and select recommended values for use for the melting points and boiling points of the alkali metals: lithium (Li), sodium (Na), potassium (K), rubidium (Rb), cesium (Cs), and francium (Fr). Here we provide all of the

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
Displaying 1476 - 1500 of 143775
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