Results 141 to 150 of about 79,920 (249)
Dynamic Covalent Polymeric Foams: En Route to a Sustainable Lightness
Dynamic covalent polymer foams (DCPFs) combine lightweight cellular structures with adaptive polymer networks, enabling self‐healing, reprocessability, and recyclability. By integrating reversible covalent bonds into foam architectures, these materials open new pathways toward sustainable porous polymers within a circular materials economy.
Antoine Adjaoud +3 more
wiley +1 more source
This study demonstrates how pore architecture, shape, and sulfonate group density influence the adsorption of Zn2+, Fe3+, and Al3+ by PAMPS polyHIPEs. Beads and monoliths exhibit distinct transport behavior compared to commercial 77H resin. The results offer design guidelines for optimizing ion‐exchange polymers to improve performance in water ...
Sebastijan Kovačič, Roko Vladušić
wiley +1 more source
PSO-Merging: Merging Models Based on Particle Swarm Optimization
Model merging has emerged as an efficient strategy for constructing multitask models by integrating the strengths of multiple available expert models, thereby reducing the need to fine-tune a pre-trained model for all the tasks from scratch. Existing data-independent methods struggle with performance limitations due to the lack of data-driven guidance.
Zhang, Kehao, Zhang, Shaolei, Feng, Yang
openaire +2 more sources
The porous HMC selectively captures cationic dyes (MB and MG) from contaminated water, transforming dark, dye‐laden effluent into clean water. ABSTRACT Our investigation explores the exclusion of two health‐risk cationic dyes (e.g., Methylene Blue (MB) and Malachite Green (MG)) using a novel hydrazone‐modified cellulose (HMC) adsorbent synthesized via ...
Yasmeen G. Abou El‐Reash +7 more
wiley +1 more source
A label‐free impedimetric immunosensor based on laser‐induced graphene decorated with ZnO nanorods is developed for prostate‐specific antigen detection. Antibody adsorption on ZnO enables clinically relevant sensitivity and an unconventional “signaling‐off” response, where charge‐transfer resistance decreases upon antigen binding, challenging ...
Maria S. Soares +4 more
wiley +1 more source
Interactive Tool for Customizing Hydrogel Properties in Practical Applications
This research provides an open‐access tool that enables the scientific community to optimally synthesize hydrogels without requiring expert knowledge, thereby reducing experimental costs. Soft materials represent an interdisciplinary frontier in modern science, combining theoretical and experimental knowledge from diverse fields in both fundamental ...
Ricardo Negrete‐Gallego +5 more
wiley +1 more source
Accurate State of Charge Estimation in Lithium‐Ion Batteries by Second‐Order Sliding Mode Observer
A finite‐time second‐order sliding mode observer (SO‐SMO) is proposed for accurate and robust state‐of‐charge estimation in lithium‐ion batteries, achieving fast convergence, chattering elimination, and superior estimation accuracy compared to conventional methods, making it ideal for real‐time battery management applications in electric and hybrid ...
Mohammad Asadi +5 more
wiley +1 more source
Monte Carlo simulation (MCS) provides a probabilistic view of daily electric vehicle (EV) charging demand. The simulation model helps predict charging demand patterns in the absence of real‐time data on Electric Vehicles (EVs) in a particular location. It uses a bimodal Gaussian distribution to simulate morning and evening arrival peaks of the EVs [30],
Sana Sultan +4 more
wiley +1 more source
This work introduces FuzzyMPsoAhp, a novel method that overcomes AHP limitations in cloud‐edge clock synchronization. It achieves an 43.3% lower consistency ratio than GaAhp, providing a practical and efficient tool for evaluating synchronization strategies ABSTRACT The traditional analytic hierarchy process (AHP) has significant limitations in ...
Zhang Weiran, Hou Yanhong
wiley +1 more source
Improving Visible Light Positioning Accuracy Using Particle Swarm Optimization (PSO) for Deep Learning Hyperparameter Updating in Received Signal Strength (RSS)-Based Convolutional Neural Network (CNN). [PDF]
Chang CM, Lin YZ, Chow CW.
europepmc +1 more source

