This work constructed a tandem W−N−C center to simultaneously achieve the regulation of reaction pathways and optimization of charge separation efficiency. The Lewis‐acidic W6+ sites activated O2 to generate O2−$O_2^ - $, with enhanced charge separation via electronic modulation, steering U(VI) reduction down an efficient radical pathway.
Zhiyao Wu +11 more
wiley +1 more source
Intelligent predictive neural network analysis of stefan blowing impacts on chemical reactive flow of Boger nanofluid with thermophoresis and brownian motion. [PDF]
Shaaban SM +6 more
europepmc +1 more source
A Data‐Driven Inverse Design Methodology for Magnetic Soft Millirobots Navigating in Confined Spaces
A data‐efficient inverse design framework automates the optimization of magnetic soft millirobots for confined‐space navigation. Integrating a physics‐based Cosserat rod model with Bayesian optimization efficiently identifies high‐performance geometries.
Ziyu Ren +5 more
wiley +1 more source
Thermal analysis of bioconvection flow of CNTs/water based hybrid nanofluid with gyrotactic microbes using artificial neural network. [PDF]
Ben Hamida MB +3 more
europepmc +1 more source
TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens
ABSTRACT While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing.
Man Yuan +10 more
wiley +1 more source
Numerical investigation of thermal performance in unsteady Casson hybrid nanofluid flow across rotating disks under variable Darcy resistance and Joule heating. [PDF]
Yasmin H, Al-Essa LA, Noor S, Haq I.
europepmc +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
The impact of physical activity on academic performance in children and adolescents: a meta-analysis. [PDF]
Feng Z, Zhao Z, Chen R, Liu Y.
europepmc +1 more source
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang +10 more
wiley +1 more source
Digital performance testing reveals how redesigned return cannulas can enhance VV-ECMO performance. [PDF]
Ondrusova B +4 more
europepmc +1 more source

