Extremely high nitrogen doped carbon was designed by facile pyrolysis of bio-based poly(2,5-benzimidazole) as a single source of nitrogen and carbon. For the first time ever, a carbon-based anode with ∼17 wt% of nitrogen doping with extremely fast charging (XFC) capability at 18.6 A g and ultralong cyclability (3000 cycles) with 90% capacity retention was investigated. Full cell studies also indicated the commercial competence of the novel material.
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http://dx.doi.org/10.1039/d1cc04931c | DOI Listing |
Adv Sci (Weinh)
January 2025
Information Materials and Intelligent Sensing Laboratory of Anhui Province, Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of Education, Institutes of Physical Science and Information Technology, Anhui University, 111 Jiu Long Road, Hefei, 230601, China.
Unipolar barrier architecture is designed to enhance the photodetector's sensitivity by inducing highly asymmetrical barriers, a higher barrier for blocking majority carriers to depressing dark current, and a low minority carrier barrier without impeding the photocurrent flow through the channel. Depressed dark current without block photocurrent is highly desired for uncooled Long-wave infrared (LWIR) photodetection, which can enhance the sensitivity of the photodetector. Here, an excellent unipolar barrier photodetector based on multi-layer (ML) graphene (G) is developed, WSe, and PtSe (G-WSe-PtSe) van der Waals (vdW) heterostructure, in which extremely low dark current of 1.
View Article and Find Full Text PDFNat Commun
January 2025
Center for High Pressure Science and Technology Advanced Research, Beijing, 100093, China.
Due to the sulfur's atoms' propensity to form molecules and/or polymeric chains of various sizes and configuration, elemental sulfur possesses more allotropes and polymorphs than any other element at ambient conditions. This variability of the starting building blocks is partially responsible for its rich and fascinating phase diagram, with pressure and temperature changing the states of sulfur from insulating molecular rings and chains to semiconducting low- and high-density amorphous configurations to incommensurate superconducting metallic atomic phase. Here, using a fast compression technique, we demonstrate that the rapid pressurisation of liquid sulfur can effectively break the molecular ring structure, forming a glassy polymeric state of pure-chain molecules (Am-S).
View Article and Find Full Text PDFPLoS One
January 2025
Vocational Training Center, FoShan Open University, FoShan, Guangdong Province, China.
Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. Notably, Kernel Extreme Learning Machine (KELM), as a fast and effective classification method, has received widespread attention.
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Background: Acute myocardial infarction (AMI), particularly ST-segment elevation myocardial infarction (STEMI), significantly impacts global health, exacerbated by risk factors such as diabetes mellitus (DM). While the Gensini score effectively quantifies coronary artery lesions, its correlation with fasting blood glucose (FBG) levels, particularly in a non-linear fashion, has not been thoroughly explored in STEMI patients.
Methods: This study analyzed data from 464 STEMI patients treated with percutaneous coronary intervention at the First People's Hospital of Taizhou City, Zhejiang Province, China, from January 2010 to October 2014.
Sci Rep
January 2025
School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, 361024, China.
The traditional diagnosis of chronic hepatitis C usually relies on liver biopsy. Diagnosing chronic hepatitis C based on serum indices provides a non-invasive way to determine the stage of chronic hepatitis C without liver biopsy. In this paper, we proposed two automatic diagnosis systems for non-invasive diagnosis of chronic hepatitis C based on serum indices, an extreme learning machine (ELM) based auto-diagnosis method and a hybrid method using k-means clustering and ELM.
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