Results 111 to 120 of about 1,025,639 (295)

3D Anodic Alumina Nanoarchitectures: A Decade of Progress from Foundational Science to Functional Metamaterials

Advanced Materials, EarlyView.
Ordered three‐dimensional anodic aluminum oxide (3D‐AAO) nanoarchitectures with longitudinal and transverse pores enable architecture‐driven metamaterials. The review maps fabrication advances, including hybrid pulse anodization, and shows how 3D‐AAO templates tailor properties across magnetism, energy, catalysis, and sensing.
Marisol Martín‐González
wiley   +1 more source

Porosity Engineering of MXene Architectures: Toward High‐Performance Aqueous Electrochemical Energy Storage

Advanced Materials, EarlyView.
This review systematically summarizes recent advances in porosity engineering of MXenes, with a focused discussion on their structure‐governed energy storage properties. A critical analysis of structure–property relationships is presented across alkali‐ion batteries, multivalent‐ion batteries, and supercapacitors.
Shude Liu, Jieming Chen, Xue Peng, Huilin Zhang, Ling Kang, Ming Ma, Zhaoling Li, Yusuke Yamauchi, Bin Ding   +8 more
wiley   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

IEEE Access
Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction model (N-XGB), a hybrid model that combines neural networks (NN ...
Muhammad Asim Saleem, Ashir Javeed, Watit Benjapolakul, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung   +5 more
doaj   +1 more source

Implementation of an Andragogical Teacher Professional Development Training Program for Boosting TPACK in STEM Education: The Essential Role of a Personalized Learning System

Educational Technology & Society, 2021
Several previous studies have indicated that teachers require knowledge to enhancing technology-integrated instructional practices for representing and formulating the content to students. Therefore, the technological pedagogical content knowledge (TPACK)
Pawat Chaipidech , Tanachai Kajonmanee, Kornchawal Chaipah, Patcharin Panjaburee, Niwat Srisawasdi   +4 more
doaj  

A smart learning ecosystem design for delivering Data-driven Thinking in STEM education. [PDF]

Smart Learn Environ, 2021
Benita F, Virupaksha D, Wilhelm E, Tunçer B.   +3 more
europepmc   +1 more source

2D Nanomaterials Toward Function‐Ready Superlubricity in Advanced Microsystems

Advanced Materials, EarlyView.
A unified framework links structural and transformation superlubricity with microsystem functions and deployment requirements. Mechanisms, device architectures, integration strategies, AI‐guided discovery, and benchmarking protocols are connected to define function‐ready superlubricity in advanced microsystems.
Yushan Geng, Jun Yang, Yong Yang
wiley   +1 more source

An empirical study of Chinese students' behavioral intentions to adopt 5G for smart-learning in Covid-19. [PDF]

Smart Learn Environ, 2021
Shah SK, Tang Z, Sharif SMF, Tanveer A.
europepmc   +1 more source

Multifunctional Bio‐Based Packaging for Perishable Foods: Structural Design, Scalable Fabrication, and Versatile Applications

Advanced Materials, EarlyView.
An overview of design principles and scalable fabrication strategies for multifunctional bio‐based packaging. Radiative cooling films, modified‐atmosphere films/membranes, active antimicrobial/antioxidant platforms, intelligent optical/electrochemical labels, and superhydrophobic surfaces are co‐engineered from material chemistry to mesoscale structure
Lei Zhang, Jiaqi Zhang, Mei Cui, Wei Qi, Renliang Huang, Rongxin Su, Kai Zhang   +6 more
wiley   +1 more source

Data‐Driven Cation Engineering Guides Electrolyte Design for Sustainable Aqueous Zinc Battery Chemistries

Advanced Materials, EarlyView.
To address the persistent challenges of vanadium dissolution and capacity fading in zinc‐ion batteries, we introduce a cation‐engineered electrolyte strategy underpinned by a data‐driven framework. This approach efficiently and reliably predicts a Na+‐Mg2+‐Zn2+ tri‐cation electrolyte with well‐balanced and sustainable advantages, enabling Zn/VOx ...
Xuesong Xie, Yinfei Lyu, Huorong Ren, Witold Pedrycz, Yifan Li, Yang Yang, Xuehai Tan, Minggang Xie, Yi Guan, Yuxuan Xue, Ning Chen, Zhi Li   +11 more
wiley   +1 more source