We demonstrated for the first time by ab initio density functional calculation and molecular dynamics simulation that C(0.5)(BN)(0.5) armchair single-walled nanotubes (NT) are gapless semiconductors and can be spontaneously formed via the hybrid connection of graphene/BN Nanoribbons (GNR/BNNR) at room temperature. The direct synthesis of armchair C(0.5)(BN)(0.5) via the hybrid connection of GNR/BNNR is predicted to be both thermodynamically and dynamically stable. Such novel armchair C(0.5)(BN)(0.5) NTs possess enhanced conductance as that observed in GNRs. Additionally, the zigzag C(0.5)(BN)(0.5) SWNTs are narrow band gap semiconductors, which may have potential application for light emission. In light of recent experimental progress and the enhanced degree of control in the synthesis of GNRs and BNNR, our results highlight an interesting avenue for synthesizing a novel specific type of C(0.5)(BN)(0.5) nanotube (gapless or narrow direct gap semiconductor), with potentially important applications in BNC-based nanodevices.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/ja809053x | DOI Listing |
Health Expect
February 2025
School of Health Sciences, University of Surrey, Guildford, UK.
Introduction: A multi-stakeholder conference was held in 2023, celebrating the achievements of the Burdett National Transition Nursing Network (BNTNN). The BNTNN had been implemented across England in 2020 to map the current state of young people's healthcare transition into adult services across England, and work with key stakeholders to coach them through making sustainable quality improvements to young people's transition services. This work was funded by the Burdett Trust for Nursing, following the success of an exemplar Model for Quality Improvement (QI) for Transition, which had been developed at a Teaching Hospital in England.
View Article and Find Full Text PDFNat Commun
January 2025
School of Information Science and Technology, Fudan University, Shanghai, China.
Accelerating the discovery of novel crystal materials by machine learning is crucial for advancing various technologies from clean energy to information processing. The machine-learning models for prediction of materials properties require embedding atomic information, while traditional methods have limited effectiveness in enhancing prediction accuracy. Here, we proposed an atomic embedding strategy called universal atomic embeddings (UAEs) for their broad applicability as atomic fingerprints, and generated the UAE tensors based on the proposed CrystalTransformer model.
View Article and Find Full Text PDFACS Nano
January 2025
Department of Chemistry, University of California Berkeley, Berkeley, California 94720, United States.
Understanding charge transport in semiconductor quantum dot (QD) assemblies is important for developing the next generation of solar cells and light-harvesting devices based on QD technology. One of the key factors that governs the transport in such systems is related to the hybridization between the QDs. Recent experiments have successfully synthesized QD molecules, arrays, and assemblies by directly fusing the QDs, with enhanced hybridization leading to high carrier mobilities and coherent band-like electronic transport.
View Article and Find Full Text PDFMed Biol Eng Comput
January 2025
College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, 110169, China.
Accurately and swiftly segmenting breast tumors is significant for cancer diagnosis and treatment. Ultrasound imaging stands as one of the widely employed methods in clinical practice. However, due to challenges such as low contrast, blurred boundaries, and prevalent shadows in ultrasound images, tumor segmentation remains a daunting task.
View Article and Find Full Text PDFOpen Life Sci
January 2025
Henan Provincial Key Laboratory of Ecological Security for Water Source Region of Mid-line of South-to-North Diversion Project, Nanyang Normal University, Nanyang, 473061, China.
Drought is a major abiotic stress in restricting the growth, development, and yield of maize. As a significant epigenetic regulator, small RNA also functions in connecting the transcriptional and post-transcriptional regulatory network. Further to help comprehending the molecular mechanisms underlying drought adaptability and tolerance of maize, an integrated multi-omics analysis of transcriptome, sRNAome, and degradome was performed on the seedling roots of an elite hybrid Zhengdan958 under drought stress.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!