Results 101 to 110 of about 335,451 (304)
Ultrathin AlOxHy interlayers between aluminum films and polymer substrates significantly improve electro‐mechanical properties of flexible thin film systems. By precisely controlling interlayer thickness using atomic layer deposition, this study identifies an optimal interlayer thickness of 5–10 nm that enhances ductility and delays cracking.
Johanna Byloff +9 more
wiley +1 more source
A Cu‐based crystal‐glass composite with high‐density twins is identified by a fast screening technique using combinatorial sputtering together with XRD and nanoindentation mapping. This bamboo‐like structure demonstrates homogenous plastic flow and retains high strength during in situ high temperature tests, up to 1 GPa at 550°C, owing to those ...
Chunhua Tian +10 more
wiley +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
The addition of powders from waste construction materials as partial cement substitute in concrete represents a significant step toward green concrete construction.
Islam N. Fathy +4 more
doaj +1 more source
Estimating Compressive Strength of High Performance Concrete with Gaussian Process Regression Model
This research carries out a comparative study to investigate a machine learning solution that employs the Gaussian Process Regression (GPR) for modeling compressive strength of high-performance concrete (HPC).
Nhat-Duc Hoang +3 more
doaj +1 more source
Ensemble Learning for Predicting Concrete Compressive Strength
Abstract Machine learning techniques, particularly ensemble learning, are transforming the construction industry by significantly enhancing the accuracy of concrete compressive strength predictions. This study explores various ensemble learning methods to predict compressive strength using two distinct datasets: a real-world dataset from ...
Hiba Al-Taie, Hamid Mukhtar
openaire +1 more source
Unveiling Multidimensional Physicochemical Design Principles for Tissue Processing Hydrogels
This study establishes a materials‐based design framework for polymer hydrogels in tissue clearing, linking physicochemical properties to performance in tissue processing, labeling, and imaging. By analyzing rheology, swelling, porosity, antibody diffusion, mechanical performance, and thermochemical stability across platforms, this work provides a ...
Sangjae Kim +8 more
wiley +1 more source
We fabricated a biomimetic dendrimer‐modified thin‐film nanocomposite membrane with a coordination‐assisted ion‐selective interface. pH‐responsive polypeptide sites preferentially bind Mg2+ and promote Li+ permeation, as predicted by density functional theory calculations of metal‐ligand interactions.
Mehrasa Yassari +7 more
wiley +1 more source
Compressive Strength Prediction of Rice Husk Ash Concrete Using a Hybrid Artificial Neural Network Model. [PDF]
Li C, Mei X, Dias D, Cui Z, Zhou J.
europepmc +1 more source
Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles
Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati +2 more
wiley +1 more source

