Zhong‐Qun Tian
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View article: Probing electrical double layer via triboelectric charge transfer
Probing electrical double layer via triboelectric charge transfer Open
The nanoscale electrical double layer (EDL) governs macroscopic phenomena such as ion adsorption and reaction kinetics, serving as a fundamental determinant in diverse applications ranging from sensing, and catalysis, to energy storage. Wh…
View article: Recent trends and hotspots in diabetic foot ulcer research over the last decade: a bibliometrics study and suggestions for researchers
Recent trends and hotspots in diabetic foot ulcer research over the last decade: a bibliometrics study and suggestions for researchers Open
Objectives: Diabetic foot ulcer (DFU) represents a common and severe complication of diabetes, posing a substantial risk factor for amputation. Over the past decade, the number of research publications on DFU has been increasing year by ye…
View article: MOF-Derived Bimetallic Catalysts for Simultaneous Irradiation Degradation and Hydrogen Evolution: Synergistic Oxidation-Reduction Processes
MOF-Derived Bimetallic Catalysts for Simultaneous Irradiation Degradation and Hydrogen Evolution: Synergistic Oxidation-Reduction Processes Open
Electron beam (EB) irradiation technology for organic pollutant degradation primarily exploits oxidizing radicals, while concurrently generated reducing radicals remain underutilized. These reducing species represent not only wasted energy…
View article: From 2D to 3D Cognition: A Brief Survey of General World Models
From 2D to 3D Cognition: A Brief Survey of General World Models Open
World models have garnered increasing attention in the development of artificial general intelligence (AGI), serving as computational frameworks for learning representations of the external world and forecasting future states. While early …
View article: A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection
A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection Open
In this paper, for the needs of high-precision and high-continuity localization in complex environments, a modeling method based on time-varying noise and outlier noise is proposed, and variational Bayesian strong tracking filtering is use…
View article: Coherent oscillation in photocurrent through single-atom junctions at room temperature
Coherent oscillation in photocurrent through single-atom junctions at room temperature Open
Control of light-driven current at the nanoscale is essential for optoelectronics, energy transfer, and information processing, and the single-atom junctions preserving electron coherence serves as a model system with ultimate size to inve…
View article: Tailoring Self‐Organized Growth of Biomimetic Inorganic–Organic Multilayers with a Permeable Microcompartment
Tailoring Self‐Organized Growth of Biomimetic Inorganic–Organic Multilayers with a Permeable Microcompartment Open
Organisms such as marine glass sponges, molluscan animals, crustaceans, and mammals develop inorganic–organic multilayers in ambient conditions. This structural motif of inorganic–organic multilayers has a central function in reconciling s…
View article: Synergistic Aggregation-Induced Emissive Linkers in Metal–Organic Frameworks for Ultrasensitive and Quantitative Visual Sensing
Synergistic Aggregation-Induced Emissive Linkers in Metal–Organic Frameworks for Ultrasensitive and Quantitative Visual Sensing Open
Luminescent metal-organic frameworks (MOFs) represent an emerging class of materials for visual analyte detection. In this study, we present a strategy that integrates two synergistic aggregation-induced emissive (AIE) linkers into a MOF, …
View article: Open-set deep learning–enabled single-cell Raman spectroscopy for rapid identification of airborne pathogens in real-world environments
Open-set deep learning–enabled single-cell Raman spectroscopy for rapid identification of airborne pathogens in real-world environments Open
Pathogenic bioaerosols are critical for outbreaks of airborne disease; however, rapidly and accurately identifying pathogens directly from complex air environments remains highly challenging. We present an advanced method that combines ope…
View article: A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features
A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features Open
With the advent of the 5G era, high-precision localization based on mobile communication networks has become a research hotspot, playing an important role in indoor emergency rescue in shopping malls, smart factory management and tracking,…
View article: Heterogeneously catalyzed supramolecular polymerization: essential roles of nucleation and fragmentation-induced autocatalysis in chiral transfer
Heterogeneously catalyzed supramolecular polymerization: essential roles of nucleation and fragmentation-induced autocatalysis in chiral transfer Open
We unveil spontaneous fragmentation-induced autocatalysis in heterogeneously catalyzed supramolecular polymerization, where nucleating agents serve as catalysts, driving efficient chiral induction and acceleration at an optimal catalytic e…
View article: Surface-enhanced Raman spectroscopy: a half-century historical perspective
Surface-enhanced Raman spectroscopy: a half-century historical perspective Open
This review comprehensively presents the fifty-year journey of surface-enhanced Raman spectroscopy (SERS), covering its discovery, pivotal phases, innovative methods, and key inspirations from the pioneers and trailblazers.
View article: Tailoring rhodium-based metal-organic layers for parahydrogen-induced polarization: achieving 20% polarization of 1H in liquid phase
Tailoring rhodium-based metal-organic layers for parahydrogen-induced polarization: achieving 20% polarization of 1H in liquid phase Open
Heterogeneous catalysts for parahydrogen-induced polarization (HET-PHIP) would be useful for producing highly sensitive contrasting agents for magnetic resonance imaging (MRI) in the liquid phase, as they can be removed by simple filtratio…
View article: Impact of Surface Enhanced Raman Spectroscopy in Catalysis
Impact of Surface Enhanced Raman Spectroscopy in Catalysis Open
Catalysis stands as an indispensable cornerstone of modern society, underpinning the production of over 80% of manufactured goods and driving over 90% of industrial chemical processes. As the demand for more efficient and sustainable proce…
View article: Towards a Unified Benchmark and Framework for Deep Learning-Based Prediction of Nuclear Magnetic Resonance Chemical Shifts
Towards a Unified Benchmark and Framework for Deep Learning-Based Prediction of Nuclear Magnetic Resonance Chemical Shifts Open
The study of structure-spectrum relationships is essential for spectral interpretation, impacting structural elucidation and material design. Predicting spectra from molecular structures is challenging due to their complex relationships. H…
View article: Boosting Reactive Oxygen Species Generation via Contact‐Electro‐Catalysis with Fe<sup>III</sup>‐Initiated Self‐cycled Fenton System
Boosting Reactive Oxygen Species Generation via Contact‐Electro‐Catalysis with Fe<sup>III</sup>‐Initiated Self‐cycled Fenton System Open
Contact Electro‐Catalysis (CEC) using commercial dielectric materials in contact‐separation cycles with water can trigger interfacial electron transfer and induce the generation of reactive oxygen species (ROS). However, the inherent hydro…
View article: Understanding the relationship between sequences and kinetics of DNA strand displacements
Understanding the relationship between sequences and kinetics of DNA strand displacements Open
Precisely modulating the kinetics of toehold-mediated DNA strand displacements (TMSD) is essential for its application in DNA nanotechnology. The sequence in the toehold region significantly influences the kinetics of TMSD. However, due to…
View article: Frontispiz: Machine Learning Molecular Dynamics Shows Anomalous Entropic Effect on Catalysis through Surface Pre‐melting of Nanoclusters
Frontispiz: Machine Learning Molecular Dynamics Shows Anomalous Entropic Effect on Catalysis through Surface Pre‐melting of Nanoclusters Open
Heterogeneous Catalysis. In their Communication (e202405379), Jun Cheng et al. use machine learning molecular dynamics to demonstrate anomalous entropic effect on catalysis via surface pre-melting of nanoclusters.