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Front Cover: Intelligent Generative Models for Quantum Neural Networks
The Hyperband-QNN algorithm achieves adaptive customization of quantum neural network structure by skilfully integrating the essence of neural networks and the Hyperband optimization algorithm, perfectly matching the needs of various specific tasks. This groundbreaking method not only opens up a new path for the design of quantum neural networks but also sets a model for the deep integration of quantum computing and traditional computing. More in article number 2400178, Zheng Shan and co-workers.
Alkoxy Side Chain Engineering in Metal-Free Covalent Organic Frameworks for Efficient Oxygen Reduction
Efficient Oxygen Reduction In article number 2501603, Jong-Beom Baek and co-workers illustrate the tunable oxygen reduction reaction (ORR) performance of metal-free covalent organic frameworks (COFs) through alkoxy side-chain engineering. The alkoxy-functionalized COFs exhibit enhanced hydrophilicity and optimized pore wall electronic environments, enabling stronger adsorption of water and *OOH intermediates. This study highlights a new strategy to tailor the COF-based electrocatalysts via molecular side-chain modulation.
Biogeochemical Trade-Off in a Dual-Coupling Oxidative Model: How Hydroxyl Radicals Govern Greenhouse Gas Emission in Coastal Wetlands across a Salinity Gradient
Coastal wetlands are major sources and/or sinks of greenhouse gases (GHGs), yet the role of abiotic oxidants like hydroxyl radicals (·OH) in regulating these fluxes, especially across salinity gradients, remains poorly understood. Here, we reveal that ·OH is a pivotal biogeochemical agent whose function is governed by a “dual-coupling oxidative model”. External coupling is demonstrated by salinity acting as a master variable, driving a significant increase in ·OH production potential. This salinity-driven gradient of oxidative pressure then interacts with the internal coupling─the functional duality of ·OH─to produce divergent GHG dynamics. For CO2, net promotion (contributing an average of 9.38 ± 3.92%) resulted from a trade-off where direct abiotic mineralization overcame the suppression of C-degradation enzymes. In contrast, ·OH acted as a net suppressant of CH4 emission, an effect predominantly driven by biotic responses. For N2O, an apparent promotion (contributing 4.36 ± 4.39%) resulted from a powerful indirect effect via suppression of its sink enzyme, which overwhelmed a direct chemical inhibitory path. Ultimately, the magnitude of the ·OH effect on GHG fluxes was codetermined by initial abiotic (23–41%) and biotic (14–29%) conditions. Our model provides a new framework for understanding abiotic–biotic interactions and predicting blue carbon ecosystem responses to global change like seawater intrusion.
期刊作品分类
Nature期刊
Nature 系列期刊封面作品
12 个作品案例
Science期刊
Science 系列期刊封面作品
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Cell 系列期刊封面作品
12 个作品案例
ACS系列
JACS, ACS Nano, ACS Catalysis 等
202 个作品案例
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Advanced Materials, Angewandte 等期刊
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RSC系列
Chemical Science, Materials Chemistry 等
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科学插图
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分子动力学、过程演示、机制解释
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300
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300
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300
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