In this study, a photocatalyst with a distorted skeleton and synthesized by grafting triamterene onto graphitic carbon nitride (g-C N ) frameworks was prepared. The pteridine ring of the triamterene-based nitrogen-enriched organic structure functions as a trapped electron site owing to its inductive effect. The benzene ring in triamterene plays an important role in the even dispersion of electrons by a conjugative effect. Redistribution of the intramolecular electronic potential is caused by a synergistic effect between the pteridine and benzene rings of triamterene and promotes separation and migration of the photoinduced charge carriers. After coupling with triamterene, the π electrons of g-C N are relocated; that is, the intrinsic electronic and band structures of g-C N are effectively modulated. The modified polymeric photocatalyst shows a high photocatalytic H evolution rate of 157.5 μmol h , a value that is 4.3 times higher than the H evolution rate of pristine g-C N (36.8 μmol h ), with an apparent quantum efficiency of 9.7 % at λ=450 nm. The incorporation of triamterene into the g-C N frameworks significantly expands its π-delocalized system by redistribution of the electronic potential, expands the visible-light absorption range, and effectively promotes the separation and migration of photoinduced charge carriers. This strategy may provide a reference for promoting charge separation of g-C N through redistribution of the electronic potential and for synthesizing novel carbon nitride based semiconductors for efficient solar energy conversion into hydrogen.
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http://dx.doi.org/10.1002/asia.201801083 | DOI Listing |
J Youth Adolesc
January 2025
Department of Social Work, the Chinese University of Hong Kong, Hong Kong, China.
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Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai, China.
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January 2025
School of Mathematics and Statistics, Shaoguan University, Shaoguan, 512005, China.
Recently, deep latent variable models have made significant progress in dealing with missing data problems, benefiting from their ability to capture intricate and non-linear relationships within the data. In this work, we further investigate the potential of Variational Autoencoders (VAEs) in addressing the uncertainty associated with missing data via a multiple importance sampling strategy. We propose a Missing data Multiple Importance Sampling Variational Auto-Encoder (MMISVAE) method to effectively model incomplete data.
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January 2025
College of Rare Earth, Jiangxi University of Science and Technology, Ganzhou, 341000, China.
Utilizing aerosol jet printing (AJP), this study achieves a breakthrough in fabricating luminescent fibers with superior optical performance and flexibility. The YO:Eu coated high silica glass fibers demonstrate luminous efficiency twice that of traditional methods, retaining 80% after 250 bending cycles and 90% after sweat immersion. This AJP technique not only elevates the potential of smart fabrics but also represents a significant innovation in lighting technology, providing new ideas for advanced functional fiber fabrication.
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January 2025
Department of Data Science and Artificial Intelligence, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
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