Results 91 to 100 of about 3,013 (217)

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam, Sajjad Ali, Pir Muhammad Ismail, ABM Sharif Hossain   +3 more
wiley   +1 more source

Genetic Algorithm‐Driven Analysis of Gravitational Water Vortex Power Plant Runner Performance: A Comparative Study Integrating Experimental and Computational Fluid Dynamics

Energy Science &Engineering, EarlyView.
This study integrates genetic algorithm optimization, CFD simulation, and experimental validation to identify the optimal runner geometry for a gravitational water vortex turbine. The combined approach enhances vortex stability and improves energy conversion efficiency, demonstrating strong agreement between predicted and measured performance ...
Zakaria. A. Mwakitwange, Adam Faraji
wiley   +1 more source

Modeling analysis of the mean flow velocity ahead of a rotating tidal turbine

International Marine Energy Journal
This paper presents a novel method for modeling the mean radial velocity component ahead of a rotating tidal turbine. Firstly, it examines a recent hybrid model designed to reconstruct the three-dimensional mean  axial flow field in front of an ...
Philippe Druault, Jean-François Krawczynski   +1 more
doaj   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

Energy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source

Aerodynamic Design and Optimization of a Radial Inflow Turbine for Organic Rankine Cycle Systems with Physics-Guided Flow Diagnostics

Energies
Improving the performance of radial inflow turbines under coupled aerodynamic and mechanical constraints remains a key challenge in high-speed Organic Rankine Cycle (ORC) systems.
Bochen Wan, Wang Zheng, Yueyang Wang, Zhen Zhang, Xiaojing Zhang, Qiaorui Si   +5 more
doaj   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Examining the Effect of Virtual Reality‐Based Environmental Education on Creative Problem‐Solving Skills

Future in Educational Research, EarlyView.
ABSTRACT The aim of this study is to examine the effect of participation in the virtual reality‐based environmental education (VRBEE) program on the creative problem‐solving (CPS) skills of middle school students in Turkey. The research was conducted with 125 students from a public middle school, and their CPS skills were assessed using a pre‐test–post‐
Fatih Pala
wiley   +1 more source

Structural design and 3D printing of flexible integrated electronic systems

FlexMat, EarlyView.
This review provides a comprehensive overview of design and integration strategies for individual components in flexible electronics, highlights the 3D‐printing fabrication techniques, and discusses recent advances in system‐level integration and their applications in real‐time monitoring and intelligent robotics.
Jiani Gong, Jiaying Wang, Changsong Shi, Chi Guo, Songze Fu, Jie Tao, Xiaolong Chen, Yunfei Chen, Zhiyang Lyu   +8 more
wiley   +1 more source

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source

Vibration Attenuation of Cantilever Beam Using Electromagnetic Delayed Feedback

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT This study presents a combined analytical and numerical investigation of a single‐input single‐output delayed feedback controller designed to suppress vibrations in a cantilever beam actuated by an electromagnet positioned beneath its free end. An analytical model was developed using the linearized equation of motion for a transversely excited
Mohammad Alabdullah, Khaled Alhazza
wiley   +1 more source