Results 131 to 140 of about 58,563 (266)
Advanced single-strut modelling of lightweight in-filled RC frames: validation and seismic performance assessment. [PDF]
El-Fotuh GA, Attia WA, El-Feky MS.
europepmc +1 more source
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +3 more
wiley +1 more source
Structural validation of novel bileaflet mechanical heart valve hinge mechanism. [PDF]
Goode D +3 more
europepmc +1 more source
Load capacity probabilistic sensitivity analysis of thin-walled beams [PDF]
Kotelko, Maria +2 more
core +1 more source
Coordinated engineering of the anode, electrolyte, and interface underpins the rational design of next‐generation solid‐state metal‐sulfur batteries. Solid‐state metal‐sulfur batteries are emerging as a transformative energy storage platform with the potential to overcome the fundamental limitations of conventional flooded cells, particularly ...
Ziyu Feng +4 more
wiley +1 more source
Elastic-Plastic Deformation Analysis of Cantilever Beams with Tension-Compression Asymmetry of Materials. [PDF]
He XT, Yin JM, Chen ZP, Sun JY.
europepmc +1 more source
Flexible Direct‐Conversion X‐Ray Detectors: From Emerging Materials to Conformal Imaging
This comprehensive review analyzed the performance, challenges, and future directions of four emerging material systems for next‐generation flexible direct‐conversion X‐ray detectors: organic semiconductors, perovskites, metal–organic frameworks, and inorganic metal compounds.
Haipeng Di +11 more
wiley +1 more source
Rapid Detection of Chicken Residues on Poultry Plant Surfaces Using Color and Fluorescence Spectrometry. [PDF]
Griscom C +4 more
europepmc +1 more source
AI‐driven circular economy optimization in waste management: A review of current evidence
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade +3 more
wiley +1 more source

