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Materials

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Displaying 501 - 525 of 2328

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 Newell, Angela 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 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

Pruning the Mechanical Impedance of Three-Dimensional Disordered Networks

February 21, 2022
Author(s)
Marcos Reyes-Martinez, Edwin Chan, Christopher Soles, Michael Riley, Endao Han, Nidhi Pashine, Kieran Murphy, Heinrich Jaeger, Sidney Nagel, Daniel Reid, Meng Shen, Juan J. de Pablo
Disordered networks, comprised of random arrangements of bonds and nodes, have emerged as materials with the unique ability for independent control over the shear and bulk moduli. Recent computational studies have demonstrated that an extremely high degree

Fiber-welded polyionic biocomposites using 1-alkyl-3-vinylimidazolium alkylphosphonate ionic liquids

February 20, 2022
Author(s)
David Durkin, Christian Hoffman, Anders Gulbrandson, Ethan Fessler, Robert Chung, Tyler Cosby, Paul C. Trulove, Ashlee Aiello, Jeremiah Woodcock
In this study, imidazolium-based polymerizable ionic liquids (Poly-ILs) are used to prepare novel polyionic biocomposites through Natural Fiber Welding. Two new Poly-ILs containing the 1-alkyl-3-vinylimidazolium cation and an alkylphosphonate anion were

KEY COMPARISON - Instrumented Charpy tests on low- and high-energy specimens

February 18, 2022
Author(s)
Enrico Lucon, Renato Reis Machado
This report describes a CIPM Key Comparison through the SIM/MWG-7 organization, concerning instrumented impact testing of low-energy (20 J) and high-energy (100 J) Charpy V-notch specimens. In this Comparison, various instrumented and non-instrumented data
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