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Displaying 301 - 325 of 2121

Resonant X-ray Scattering in Polymer Science

April 1, 2022
Author(s)
Brian Collins, Eliot Gann
Resonant Soft X-ray Scattering (RSoXS) is an emerging, powerful technique to probe the nano-to-mesoscale ordering of polymers and other molecules. It joins together small-angle X-ray scattering (a statistical nanoprobe) with X-ray spectroscopy that brings

The Very Small-Angle Neutron Scattering Instrument at the National Institute of Standards and Technology

February 27, 2022
Author(s)
John Barker, James Moyer, Steven Kline, G. Jensen, Jeremy Cook, Cedric V. Gagnon, Elizabeth Kelley, Jean Philippe Chabot, Nicholas C. Maliszewskyj, Chirag B. Parikh, Wangchun Chen, C. Glinka
A description and the performance of the Very Small-Angle Neutron Scattering (VSANS) Diffractometer at the National Institute of Standards and Technology are presented. The measurement range of the instrument extends over three decades of momentum transfer

Reassessing the Significance of Reduced Aggregation and Crystallinity of Naphthalene Diimide-Based Copolymer Acceptors in All-Polymer Solar Cells

March 28, 2022
Author(s)
Eliot Gann, Christopher McNeill, Doan Vu, Martyn Jervic, Chao Wang, Lars Thomsen, Mats Andersson
Terpolymerization is a facile and effective strategy to control the aggregation and crystallinity of semiconducting polymers which has been exploited to improve the photovoltaic performance of all-polymer solar cells (all-PSCs). Applying this strategy to

Disinfection of Respirators with Ultraviolet Radiation

March 25, 2022
Author(s)
Dianne L. Poster, Matthew Hardwick, C Cameron Miller, Michael A. Riley, W. W. Shanaka I. Rodrigo, Andras E. Vladar, John D. Wright, Christopher D. Zangmeister, Clarence Zarobila, Jeremy Starkweather, John Wynne, Jason Yilzarde
Data for interpreting virus inactivation on N95 face filtering respirators (FFRs) by ultraviolet (UV) radiation are important in developing UV strategies for N95 FFR disinfection and reuse for any situation, whether it be everyday practices, contingency

Recent Advances in Weyl Semimetal ( MnBi2Se4) and Axion Insulator (MnBi2Te4)

March 25, 2022
Author(s)
Sugata Chowdhury, Kevin Garrity, Francesca Tavazza
Extensive research is currently focused on 2D and 3D magnetic topological insulators (MTIs), as their many novel properties make them excellent candidates for applications in spintronics and quantum computing. Practical MTIs requires a combination of

Understanding Signatures of Emergent Magnetism in Topological Insulator/Ferrite Bilayers

March 24, 2022
Author(s)
Lauren J. Riddiford, Alexander Grutter, Timothy Pillsbury, Max Stanley, Danielle Reifsnyder Hickey, Peng Li, Nasim Alem, Nitin Samarth, Yuri Suzuki
Magnetic insulator and topological insulator heterostructures have been studied in search of induced magnetism in the topological insulator, but chiral edge states have been elusive. We have identified MgAl 0.5Fe 1.5O 4/Bi 2Se 3 bilayers for a possible

Influence of Dimensionality on the Charge Density Wave Phase of 2H-TaSe2

March 23, 2022
Author(s)
Sugata Chowdhury, Albert Rigosi, Heather Hill, David B. Newell, Angela R. Hight Walker, Francesca Tavazza, Andrew Briggs
Metallic transition metal dichalcogenides like tantalum diselenide (TaSe2) exhibit exciting behaviors at low temperatures including the emergence of charge density wave (CDW) states. In this work, density functional theory (DFT) is used to classify the

Nanoscale Photoexcited Carrier Dynamics in Perovskites

March 8, 2022
Author(s)
Samuel Berweger, Fei Zhang, Bryon Larson, Andrew Ferguson, Axel Palmstrom, Obadiah Reid, Thomas Mitchell (Mitch) Wallis, Kai Zhu, Joseph Berry, Pavel Kabos, Sanjini Nanayakkara
The excellent optoelectronic properties of lead-halide perovskite thin films are complemented by their tolerance to broad compositional variations and associated strain, which allows tuning of desired properties such as the optical bandgap. On the other

Color-Temperature Dependence of Indoor Organic Photovoltaic Performance

March 5, 2022
Author(s)
Boya Zhang, Justin Bonner, Lakshmi Murthy, Thien Nguyen, Fong-Yi Cao, Yen-Ju Cheng, Behrang Hamadani, Julia Hsu
Organic materials are uniquely suited for indoor light energy harvesting because they absorb mostly in the visible spectrum and the absence of ultraviolet light minimizes their degradation. However, the performance of photovoltaic devices under indoor

Computational Design of Helical Peptide Bundle Variants Spanning a Wide Range of Charge States

March 1, 2022
Author(s)
Jeffrey Fagan, Nairiti Sinha, rui gui, Darrin Pochan, Grethe Vestergaard Jensen, Jeffery Saven, matthew Langenstein, Rajkumar Misra, Christopher Kloxin, yan tang
Peptides can be computationally designed and engineered to achieve various functionalities and structures. Herein computational design was used to identify a set of 17 peptides having a wide range of putative charge states but the same tetrameric coiled

The Structure of Lipids and Keratin in Adhesive Gecko Setae Determined by NEXAFS Imaging

March 1, 2022
Author(s)
Daniel A. Fischer, Cherno Jaye, Katinka R. Holler, Mette H. Rasmussen, Joe E. Baio, Stanislav N. Gorb, Tobias Weidner
Geckos have the astonishing ability to climb on vertical surfaces due to the adhesive properties of fibrous setae at the tips of their toe pads. While the adhesion mechanism principle, based on van-der-Waals interactions of myriads of spatula located at

In-situ Stress Measurements During CO Adsorption onto Pt

February 24, 2022
Author(s)
David Raciti, Gery R. Stafford, Kathleen Schwarz, John Vinson
The change in surface stress associated with the adsorption and oxidative stripping of carbon monoxide (CO) on (111)-textured Pt is examined using the wafer curvature method in 0.1 M KHCO3 electrolyte. The curvature of the Pt cantilever electrode was

Recent Advances and Applications of Deep Learning Methods in Materials Science

February 24, 2022
Author(s)
Kamal Choudhary, Brian DeCost, Chi Chen, Anubhav Jain, Francesca Tavazza, Ryan Cohn, Cheol WooPark, Alok Choudhary, Ankit Agrawal, Simon Billinge, Elizabeth Holm, ShyuePing Ong, Chris Wolverton
Deep learning (DL) is one of the fastest growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data modalities. Deep learning allows analysis of unstructured data and automated
Displaying 301 - 325 of 2121