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Materials

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Displaying 101 - 125 of 2363

Fabrication and characterization of low-loss Al/Si/Al parallel plate capacitors for superconducting quantum information applications

January 22, 2025
Author(s)
Raymond Simmonds, Sudhir Sahu, Trevyn Larson, Florent Lecocq, Tongyu Zhao, Anthony McFadden
The application of parallel plate capacitors composed of aluminum-contacted, crystalline silicon fins for use in superconducting circuits is explored by evaluating the performance of superconducting lumped element resonators and transmon qubits. High

Stability and Topological Transformation of Liquid Droplets on VLS Nanowires

January 19, 2025
Author(s)
Daniel Wheeler, Edwin Schwalbach, S H. Davis, P W. Voorhees, James Warren
The Vapor-Liquid-Solid (VLS) method is one of the most popular techniques for growing semiconducting nanowires, and the stability of the liquid droplet is an important factor controlling wire morphology, and, ultimately, functionality. Earlier theoretical

Additive Construction - The Path to Standardization II: Workshop Report

January 16, 2025
Author(s)
Shawn Platt
The "Additive Construction – The Path to Standardization II" workshop, hosted by the National Institute of Standards and Technology (NIST) and U.S. Army Engineer Research and Development Center (ERDC), brought together key players from the additive

A Helmholtz Energy Equation of State for 3,3,3-Trifluoroprop-1-ene (R-1243zf)

January 15, 2025
Author(s)
Ryo Akasaka, Eric Lemmon
A new fundamental equation of state expressed as a function of the Helmholtz energy is presented for 3,3,3-trifluoroprop-1-ene (R-1243zf). The equation is valid from the triple point temperature (122.35 K) to 430 K at pressures up to 35 MPa. The expected

Hybrid-LLM-GNN: Integrating Large Language Models and Graph Neural Networks for Enhanced Materials Property Prediction

December 18, 2024
Author(s)
Youjia Li, Vishu Gupta, Talha Killic, Kamal Choudhary, Daniel Wines, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Graph-centric learning has attracted significant interest in material informatics. Accordingly, a family of graph-based machine learning models, primarily utilizing Graph Neural Networks (GNN), has been developed to provide accurate material properties

PVDF-based Backsheet Cracking: Mapping In Situ Phase Evolution by X-ray Scattering

December 15, 2024
Author(s)
Stephanie Moffitt, Sona Ulicna, Song-Syun Jhang, Po-Chang Pan, Michael Owen-Bellini, Peter Hacke, Michael Kempe, Jared Tracy, Kaushik Choudhury, Laura Schelhas, Xiaohong Gu
One of the most common polymers in commercial photovoltaic (PV) backsheets is polyvinylidene fluoride (PVDF). However, recent reports have shown the potential for PVDF-based backsheets to crack and fail prematurely. Previous work has suggested that polymer

An Electrically Conducting Metal-Organic Framework Having Two Orthogonal Transport Pathways

December 12, 2024
Author(s)
Shiyu Zhang, Weikang Zhang, Ashok Yadav, Md. Ansari, Jonathan Cromer, Jorge Moreno, Gavin McCarver, Wei Zhou, Sourav Saha
Owing to their diverse potential applications in electronics and energy technologies, electrically conducting metal–organic frameworks (EC-MOFs) have emerged as one of the most coveted functional materials of the twenty-first century. Among various MOF

Extracting Orientation and Distance-Dependent Interaction Potentials between Proteins in Solutions Using Small-Angle X-ray/Neutron Scattering

December 10, 2024
Author(s)
Yun Liu, Harold Hatch, Guangcui Yuan, Vincent Shen, Alexander Grishaev, Jainik Panchal, Marco Blanco
Nonspecific protein−protein interactions (PPIs) are key to understanding the behavior of proteins in solutions. However, experimentally measuring anisotropic PPIs as a function of orientation and distance has been challenging. Here, we propose to measure a

Surface photooxidation of polypropylene-based photovoltaic backsheets: A comprehensive spectroscopic investigation

December 8, 2024
Author(s)
Karissa Jensen, Ashlee Aiello, Stefan Mitterhofer, Chiara Barretta, Gernot Oreski, Christopher Stafford, Xiaohong Gu
The prospect of cost reduction, enhanced performance, and improved sustainability has been driving innovation in the development of new backsheet materials for photovoltaic (PV) modules in recent years. Among the materials of interest, polypropylene (PP)

Development and performance of a low-cost, solid-state, thermal neutron sensor with a 10B converter

December 5, 2024
Author(s)
Priscila Costa, Jamie Weaver, M Raele, Kevin Pritchard, Juscelino Leao, C Domienikan, Nicholas C. Maliszewskyj, F da Silva, W Pereira, Frederico Genezini
This study demonstrates the construction and operation of a portable, solid-state thermal neutron sensor that utilizes a photodiode coated with a thin layer of boron-10 (10B). The boron layer was created using pulsed laser deposition and analyzed through

An Adaptive Metal-Organic Framework Discriminates Xylene Isomers by Shape-Responsive Deformation

December 4, 2024
Author(s)
Jiaqi Li, Bin Sheng, Rundao Chen, Hui Wu, Wei Zhou, Fang Zheng, Baojian Liu, Qiwei Yang, Zhiguo Zhang, Yiwen Yang, Qilong Ren, Zongbi Bao
The separation of xylene isomers, especially para-xylene, is a crucial but challenging process in the chemical industry due to their similar molecular dimensions. Here, a flexible metal–organic framework, Ni(ina)2, (ina = isonicotinic acid) is employed to

Atomistic Origins of Conductance Switching in an e-Cu0.9V2O5 Neuromorphic Single Crystal Oscillator

December 4, 2024
Author(s)
Cherno Jaye, Conan Weiland, Daniel Fischer, John Ponis, Nicholas Jerla, George Agbeworvi, Saul Perez-Beltran, Nitin Kumar, Kenna Ashen, Jialu Li, Edrick Wang, Michelle A. Smeaton, Fatme Jardali, Sarbajeet Chakraborty, Patrick J. Shamberger, Katherine L. Jungjohann, Lu Ma, Jinghua Guo, G Sambandamurthy, Xiaofeng Qian, Sarbajit Banerjee
: Building artificial neurons and synapses is key to achieving the promise of energy efficiency and acceleration envisioned for brain-inspired information processing. Emulating the spiking behavior of biological neurons in physical materials requires

Small-Angle Scattering and Dark-Field Imaging for Validation of a New Neutron Far-Field Interferometer

December 1, 2024
Author(s)
Caitlyn M. Wolf, Peter Bajcsy, Wei-Ren Chen, Robert Dalgliesh, Michael Daugherty, Liliana de Campo, Fumiaki Funama, Lilin He, Michael Huber, David Jacobson, Paul A. Kienzle, Youngju Kim, Hubert King, Nikolai Klimov, Jacob LaManna, Fankang Li, Alexander Long, Ryan Murphy, Gergely Nagy, Sarah M. Robinson, Pushkar Sathe, Gregory N. Smith, Anna Sokolova, Sven Vogel, Erik Watkins, Yuxuan Zhang, Daniel Hussey, Kathleen Weigandt
The continued advancement of complex materials often requires a deeper understanding of the structure–function relationship across many length scales, which quickly becomes an arduous task when multiple measurements are required to characterize
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