Results 271 to 280 of about 3,278,211 (362)

Copper Doping Enhances the Activity and Selectivity of Atomically Precise Ag44 Nanoclusters for Photocatalytic CO2 Reduction

Advanced Functional Materials, EarlyView.
By a simple anti‐Galvanic reaction, up to six copper atoms could be preferably doped into the Ag2(SR)5 staple motifs and Ag20 dodecahedral shell of an atomically precise Ag44(SR)30 nanocluster. When anatase TiO2 is used as substrate, the (AgCu)44/TiO2 photocatalyst exhibited much improved activity in photocatalytic CO2 reduction compared to Ag44/TiO2 ...
Ye Liu, Xi Zheng, Xiufan Liu, Tengyuan Gao, Nicola Pinna, Yu Wang   +5 more
wiley   +1 more source

Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model. [PDF]

PLoS One
Chen G, Yang Z.
europepmc   +1 more source

Learning Gradients: Predictive Models that Infer Geometry and Statistical Dependence

, 2010
Qiang Wu, Justin Guinney, Mauro Maggioni, Sayan Mukherjee   +3 more
openalex   +1 more source

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

Advanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan, Karuppasamy Dharmaraj, Thorsten Schultz, Leiqiang Qin, Ningjun Chen, Danielle A. Douglas‐Henry, Bastian Schmiedecke, Merve Buldu‐Akturk, Axel Zuber, Iris Dorbandt, Maximilian Reinhardt, Yael Rodriguez‐Ayllon, Yan Lu, Valeria Nicolosi, Norbert Koch, Johanna Rosen, Michelle P. Browne   +16 more
wiley   +1 more source

Sorghum yield prediction using UAV multispectral imaging and stacking ensemble learning in arid regions. [PDF]

Front Plant Sci
Deng L, Li Y, Liu X, Zhang Z, Mu J, Jia S, Yan Y, Zhang W.   +7 more
europepmc   +1 more source

Adalimumab‐Poloxamer Conjugate for Bio‐Better: Enhanced Stability and Function

Advanced Functional Materials, EarlyView.
Antibody‐polymer conjugates, particularly poloxamer conjugates, enhance antibody stability by improving tolerance to physicochemical stress and attenuating proteolysis by proteases. Furthermore, the higher affinity observed with poloxamer conjugation compared to standard PEGylation results in improved therapeutic efficacy in rheumatoid arthritis mouse ...
Jaewon Roh, Sanghee Lee, Soomin Cho, Kun Na   +3 more
wiley   +1 more source

Engineering Porous Hollow Metal‐Poly(Heptazine Imide) Spheres: An Optimized Synthetic Strategy for Controlling Surface, Morphology, and Properties

Advanced Functional Materials, EarlyView.
Hollow poly(heptazine imide) spheres are prepared through a novel approach that integrates hard templating with ionothermal synthesis. This method enables precise control over surface area, pore volume, hydrophilicity, light absorption, band position, and metal composition. These tunable properties facilitate the customized design of semiconductors for
Lingli Ni, Erik Troschke, Henrik Vorwerk, Shiva Shahbazi Avarvand, Andreas Stihl, Nadzeya Brezhneva, Marius Hermesdorf, Desirée Leistenschneider, Felix H. Schacher, Jacob Schneidewind, Martin Oschatz   +10 more
wiley   +1 more source

Evaluating the mechanical behavior of plastic waste modified asphalt using optimized machine learning approaches. [PDF]

Sci Rep
Alqubaysi T, Qureshi MZ, Inam I, Ali T, Elhadi KM, Al-Naghi AAA, Ahmed H.   +6 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Development of an explainable machine learning asthma prediction model using serum brominated flame retardants in a national population. [PDF]

Clin Exp Med
Pan X, Wang Q, Li C, Huang J, Wu L, Niu W.   +5 more
europepmc   +1 more source