A three-dimensional π-electron acceptor, tri-phenyl-o-carborane, bearing a rigid conformation with end-on phenyl units.

Chem Commun (Camb)

Department of Advanced Materials Chemistry, Korea University, Sejong-ro 2511, Sejong city 339-700, South Korea.

Published: October 2013

Electron accepting capability is greatly improved for B-phenylated tri-phenyl-o-carborane (1) through a favorable electronic interaction between the two adjoining phenyl-π* and cage carbon-σ* orbitals.

Download full-text PDF

Source
http://dx.doi.org/10.1039/c3cc45313hDOI Listing

Publication Analysis

Top Keywords

three-dimensional π-electron
4
π-electron acceptor
4
acceptor tri-phenyl-o-carborane
4
tri-phenyl-o-carborane bearing
4
bearing rigid
4
rigid conformation
4
conformation end-on
4
end-on phenyl
4
phenyl units
4
units electron
4

Similar Publications

Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.

Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.

View Article and Find Full Text PDF

Teravoxel-scale, cellular-resolution images of cleared rodent brains acquired with light-sheet fluorescence microscopy have transformed the way we study the brain. Realizing the potential of this technology requires computational pipelines that generalize across experimental protocols and map neuronal activity at the laminar and subpopulation-specific levels, beyond atlas-defined regions. Here, we present artficial intelligence-based cartography of ensembles (ACE), an end-to-end pipeline that employs three-dimensional deep learning segmentation models and advanced cluster-wise statistical algorithms, to enable unbiased mapping of local neuronal activity and connectivity.

View Article and Find Full Text PDF

The failure of locked-segment landslides is associated with the destruction of locked segments that exhibit an energy accumulation effect. Thus, understanding their failure mode and instability mechanism for landslide hazard prevention and control is critical. In this paper, multiple instruments, such as tilt sensors, pore water pressure gauges, moisture sensors, matrix suction sensors, resistance strain gauges, miniature earth pressure sensors, a three-dimensional (3D) laser scanner, and a camera, were used to conduct the physical model tests on the rainfall-induced arch locked-segment landslide to analyze the resulting tilting deformation and evolution mechanism.

View Article and Find Full Text PDF

To address the challenges of high computational complexity and poor real-time performance in binocular vision-based Unmanned Aerial Vehicle (UAV) formation flight, this paper introduces a UAV localization algorithm based on a lightweight object detection model. Firstly, we optimized the YOLOv5s model using lightweight design principles, resulting in Yolo-SGN. This model achieves a 65.

View Article and Find Full Text PDF

Nature offers unique examples that help humans produce artificial systems which mimic specific functions of living organisms and provide solutions to complex technical problems of the modern world. For example, the development of 3D micro-nanostructures that mimic nocturnal insect eyes (optimized for night vision), emerges as promising technology for detection in IR spectral region. Here, we report a proof of principle concerning the design and laser 3D printing of all ultrastructural details of nocturnal moth Grapholita Funebrana eyes, for potential use as microlens arrays for IR detection systems.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!