Results 171 to 180 of about 1,140,649 (296)

Ultrafast Photocatalytic Wettability Switching in Substrate‐Interface Tailored Titanium Dioxide Thin Films

Advanced Materials Interfaces, EarlyView.
This study demonstrates ultrafast photocatalytic wettability switching in TiO2 thin films by tailoring substrate doping and interface oxides. Enhanced switching rates and hemiwicking effects are achieved through optimized material stacks and nanostructuring.
Rucha A. Deshpande, Jesper Navne, David C. B. Nielsen, Mathias Adelmark, Radu Malureanu, Ole Hansen, Rafael Taboryski   +6 more
wiley   +1 more source

Stochastic models allow improved inference of microbiome interactions from time series data. [PDF]

PLoS Biol
Zapién-Campos R, Bansept F, Traulsen A.
europepmc   +1 more source

Stochastic models of dense or hollow nanoparticles and their scattering properties. [PDF]

J Appl Crystallogr, 2020
Gommes CJ, Chattot R, Drnec J.
europepmc   +1 more source

From Copper Nanoparticles to Alumina Encapsulated Porous Layers With Enhanced Mechanical Stability

Advanced Materials Interfaces, EarlyView.
This study analyzes the synthesis‐structure relation of individual Cu nanoparticles and highly porous nanoparticle‐based Cu films using different sputtering‐based nanoparticle sources. The inherent mechanical instability of the films is tackled with Al2O3 encapsulation through atomic layer deposition, enabling 4‐fold increase in critical force in ...
Dominik Gutnik, Daniele Casari, Laszlo Pethö, Michael Burtscher, Anna M. Hofer‐Roblyek, Christian Mitterer, Barbara Putz   +6 more
wiley   +1 more source

The Distance Between: An Algorithmic Approach to Comparing Stochastic Models to Time-Series Data. [PDF]

Bull Math Biol
Sherlock BD, Boon MAA, Vlasiou M, Coster ACF.   +3 more
europepmc   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Fabrication, Properties, and Applications of Scaffolds for Bone Tissue Regeneration

Advanced Materials Technologies, EarlyView.
This review explores cutting‐edge biomaterials and fabrication techniques for scaffolds in bone tissue regeneration. It conducts a critical comparison of various strategies, meticulously analyzes the key contradictions in the field, and outlines an integrated development path spanning from biomaterial selection to clinical application, while ...
Shangsi Chen, Min Wang
wiley   +1 more source

A multi-country comparison of stochastic models of breast cancer mortality with P-splines smoothing approach. [PDF]

BMC Med Res Methodol, 2020
Mubarik S, Hu Y, Yu C.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source