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Displaying 1626 - 1650 of 143727

Antivesiculation and Complete Unbinding of Tail-Tethered Lipids

January 8, 2024
Author(s)
Kuo-Chih Shih, Geoffray Leriche, Chung-Hao Liu, Jibao He, Vijay John, John Barker, Michihiro Nagao, Lin Yang, Jerry Yang, Mu-Ping Nieh
We report the effect of tail-tethering on vesiculation and complete unbinding of bilayered membranes. Amphiphilic molecules of a bolalipid, resembling the tail-tethered molecular structure of archaeal lipids, with two identical zwitterionic

Determination of D9-THC, THCA, D8-THC, and total D9-THC in 53 Smokable Hemp Plant Products by Liquid Chromatography and Photodiode Array Detection

January 8, 2024
Author(s)
Walter Brent Wilson, Aaron Urbas, MARYAM ABDUL-RAHMAN, Arianna Romares, Ewelina Mistek-Morabito
The passage of the 2018 Farm Bill has led to an estimated value of $824M for hemp production in the United States (US) in 2021 with an approximately 76% of it focused on floral hemp that is used to produce hemp-derived finished products such as smokable

Conductive Surface States and Kondo Exhaustion in Insulating YbIr3Si7

January 7, 2024
Author(s)
Macy Stavinoha, C.-L. Huang, W. Phelan, Alannah Hallas, V. Loganathan, M. Michiardi, J. Falke, Sergey Zhdanovich, D. Takegami, C.-E. Liu, K. Tsuei, C. Chen, Long Qian, Nicholas Ng, Jeffrey Lynn, Qingzhen Huang, Franziska Weickert, Vivien Zapf, Katharine Larsen, Patricia Sparks, James Eckert, Anand Puthirath, Hsiang-Hsi Kung, Tor Pedersen, Sergey Gorovikov, A. Damascelli, L. Tjeng, C. Hooley, Andriy Nevidomskyy, E. Morosan
The interplay of Kondo screening and magnetic ordering in strongly correlated materials containing local moments is a subtle problem. Usually the number of conduction electrons per unit cell matches or exceeds the number of moments, and a Kondo-screened

Magnetism and Fermiology of Kagome Magnet YMn6Sn4Ge2

January 7, 2024
Author(s)
Hari Bhandari, Rebecca Dally, Peter E. Siegfried, Resham Regmi, Kirrily Rule, Songxue Chi, Jeffrey Lynn, I. Mazin, Nirmal J. Ghimire
Kagome lattice magnets are an interesting class of materials as they can host topological properties in their magnetic and electronic structures. YMn6Sn6 is one such compound in which a series of competing magnetic phases is stabilized by an applied

Deep learning approaches for time-resolved laser absorptivity prediction

January 5, 2024
Author(s)
Runbo Jiang, John Smith, Yu-Tsen Yi, Tao Sun, Brian Simonds, Anthony D. Rollett
The quantification of the amount of absorbed light is essential for understanding laser-material interactions and melt pool dynamics in order to minimize defects in additive manufactured metal components. The geometry of a vapor depression, also known as a

Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations

January 4, 2024
Author(s)
Apostol Vassilev, Alina Oprea, Alie Fordyce, Hyrum Andersen
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML). The taxonomy is built on survey of the AML literature and is arranged in a conceptual hierarchy that includes key types of ML

Characterization of Nanoparticles in Silicon Dioxide Food Additive

January 4, 2024
Author(s)
Monique Johnson, Antonio Montoro Bustos, Karen Murphy, Sadia Khan, Ingo Strenge, Matthew Kalan
Silicon dioxide (SiO2) is an approved direct food additive in the United States and has been used as an anticaking agent in powdered food products and as a stabilizer in the production of beer. While SiO2 has been used in food for many years, there is

SHINERS Study of Chloride Order-Disorder Phase Transition and Solvation of Cu(100)

January 3, 2024
Author(s)
Thomas P. Moffat, David Raciti, Angela R. Hight Walker, Eric J. Cockayne, John Vinson, Kathleen Schwarz
Shell-isolated Nanoparticle Enhance Raman Spectroscopy (SHINERS) and Density Functional Theory (DFT) are used to probe Cl- adsorption and the order-disorder phase transition associated with the c(2×2) Cl- adlayer on Cu(100) in acid media. A two-component 

Structure-Aware GNN-Based Deep Transfer Learning Framework For Enhanced Predictive Analytics On Small Materials Data

January 2, 2024
Author(s)
Vishu Gupta, Kamal Choudhary, Brian DeCost, Francesca Tavazza, Carelyn E. Campbell, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Modern data mining methods have been demonstrated to be effective tools to comprehend and predict materials properties. An essential component in the process of materials discovery is to know which material(s) (represented by their composition and crystal

A Fully Integrated, Automatically Generated DC-DC Converter Maintaining > 75% Efficiency From 398 K Down to 23 K Across Wide Load Ranges in 12-nm FinFET

January 1, 2024
Author(s)
Anhang Li, Jeongsup Lee, Prashansa Mukim, Brian Hoskins, Pragya Shrestha, David Wentzloff, David Blaauw, Dennis Sylvester, Mehdi Saligane
This paper presents a fully integrated recursive successive-approximation switched capacitor (RSC) DC-DC converter implemented using an automatic cell-based layout generation in 12 nm FinFET technology. A novel design methodology is demonstrated based on

Analyzing "grey zone" Turbulent Kinetic Energy predictions in the Boundary Layer from three WRF PBL Schemes over New York City and comparison to Aircraft measurements

January 1, 2024
Author(s)
Austin Hope, Israel Lopez Coto, Kristian Hajny, Jay M Tomlin, Robert Kaeser, Brian Stirm, Anna Karion, James Whetstone, Paul Shepson
We conduct WRF simulations at multiple resolutions down to the "grey zone" (9 km, 3 km, 1 km, 333 m) to examine boundary layer turbulence in three planetary boundary layer (PBL) schemes: the well-established MYNN PBL scheme and the two newest PBL schemes

Bulk Elastic Constants And Their Role In Diffractive Stress Analysis

January 1, 2024
Author(s)
Thomas Gnaupel-Herold
The accuracy of stress determination depends to a large extent on the accuracy to which the diffraction elastic constants (DEC) can be obtained. DEC calculations require primarily single crystal elastic constants as input; however, large disparities
Displaying 1626 - 1650 of 143727
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