Results 161 to 170 of about 20,305 (266)

CFD simulation data of a pico-hydro turbine. [PDF]

open access: yesData Brief, 2020
Alvear Pérez LC   +2 more
europepmc   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

open access: yesPolymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci   +2 more
wiley   +1 more source

Fragmentation Across Scales, Geography, and Climate Challenges in European Urban Climate Change Adaptation and Mitigation Research: A Bibliometric and Systematic Review

open access: yesSustainable Development, EarlyView.
ABSTRACT European urban climate change research lacks integration across scales, geography, and climate challenges, despite Europe's coordinated policy frameworks. Through a hybrid bibliometric and systematic review of 1528 studies (2010–2025) using Cortext Manager and PRISMA 2020 guidelines, this study maps the conceptual patterns, knowledge gaps, and
Isabela Pichardo‐Velázquez   +2 more
wiley   +1 more source

Synergies of Geospatial and Digital Technologies for Sustainable Rural Development: A Data‐Driven Analysis of Topics and Novelty Assessment

open access: yesSustainable Development, EarlyView.
ABSTRACT The adoption of geospatial and digital technologies, including Geographic Information Systems (GIS), Building Information Modelling (BIM), Digital Twins, the Internet of Things (IoT) and Artificial Intelligence (AI), is increasingly recognised as key enablers of sustainable development.
Monica C. M. Parlato, Andrea Pezzuolo
wiley   +1 more source

Machine Learning‐Driven Capillary Microfluidic Design Automation for Programmable Gradient Generation and Antimicrobial Testing

open access: yesSmall, EarlyView.
TCG‐CMDA, a machine learning‐guided capillary microfluidic design automation platform, enables automated design of tree‐shaped concentration gradient generators for programmable mixing of two agents. The pump‐free chip supports synchronized passive flow and programmable gradient formation, providing a practical framework for decentralized point‐of‐care
Mahmood Khalghollah   +4 more
wiley   +1 more source

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