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Development of Combinatorial Processing Techniques for Accelerated Discovery of Complex Concentrated Alloy (or Multi-Principal Element Alloys) for Structural Applications (open access)

Development of Combinatorial Processing Techniques for Accelerated Discovery of Complex Concentrated Alloy (or Multi-Principal Element Alloys) for Structural Applications

Data management plan for the research grant, "Development of Combinatorial Processing Techniques for Accelerated Discovery of Complex Concentrated Alloy (or Multi-Principal Element Alloys) for Structural Applications"
Date: 2022-05-15/2023-05-14
Creator: Banerjee, Rajarshi
Object Type: Text
System: The UNT Digital Library
UNT Gencyber Academy (open access)

UNT Gencyber Academy

Data management plan for the grant, "UNT Gencyber Academy."
Date: 2022-06-15/2024-06-14
Creator: Fu, Song
Object Type: Text
System: The UNT Digital Library

Plexcitonic interactions in spherical and bi-pyramidical Au nanoparticles with monolayer WSe₂

Article describes how plasmons associated with zero-dimensional (0D) metal nanoparticles and their synergistic interactions with excitons in two-dimensional (2D) semiconductors offer opportunities for remarkable spectral tunability not otherwise evident in the pristine parent materials, which necessitates an in-depth study elucidating the nature of the plasmonic and excitonic interactions, jointly referred to as plexcitons in order to understand the foundational aspects of the light–matter interactions in hybrid 0D–2D systems. The authors examine the plexcitonic interactions of van der Waals (vdWs) hybrid structures composed of 2D WSe2 and 0D Au nanoparticles (Au-NPs) in their spherical (Au-Sp) and bi-pyramidical (Au-BP) architectures, which demonstrates that geometry-mediated response of the AuNPs provides another degree of freedom to modulate the carrier photodynamics in WSe₂.
Date: November 15, 2022
Creator: Jayanand, Kishan & Kaul, Anupama
Object Type: Article
System: The UNT Digital Library
New approach for identification pHFO networks to predict epilleptogenesis (open access)

New approach for identification pHFO networks to predict epilleptogenesis

Data management plan for the grant, "New approach for identification pHFO networks to predict epilleptogenesis." About 40% of epilepsy patients fail to control seizures after treatment, and currently there is no treatment that can prevent epilepsy. The goal of this study is to perform multi-scale electrophysiological investigations combine with advanced computational algorithm development to understand the characteristics of the pathological brain networks during the latent period of epilepsy. The findings of this project will lead to a better understanding of the network mechanisms of epileptogenesis and suggest novel approaches to prevent the process of epileptogenesis.
Date: 2022-07-15/2026-06-30
Creator: Li, Lin
Object Type: Text
System: The UNT Digital Library
Unveiling the interplay of deformation mechanisms in a metastable high entropy alloy with tuned composition using synchrotron X-ray diffraction (open access)

Unveiling the interplay of deformation mechanisms in a metastable high entropy alloy with tuned composition using synchrotron X-ray diffraction

Article investigating the mechanical behavior of a metastable high entropy alloy (HEA) with composition Fe39-Mn20-Co20-Cr15-Si5-1Al (at%).
Date: January 15, 2022
Creator: Polatidis, E.; Shukla, S.; Čapek, J.; Van Petegem, S.; Casati, N. & Mishra, R. S.
Object Type: Article
System: The UNT Digital Library