Results 131 to 140 of about 58,563 (266)

Solar Fuels Via Methane Valorization: Thermochemical Pathways, Unified Metrics, and Techno‐Economic Perspectives

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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]

open access: yesProc Inst Mech Eng H
Goode D   +3 more
europepmc   +1 more source

Load capacity probabilistic sensitivity analysis of thin-walled beams [PDF]

open access: yes, 2017
Kotelko, Maria   +2 more
core   +1 more source

Anode/Electrolyte Interfacial Engineering Toward Sustainable and Practical Solid‐State Metal‐Sulfur Batteries: A Prospective Review

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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

Flexible Direct‐Conversion X‐Ray Detectors: From Emerging Materials to Conformal Imaging

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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

AI‐driven circular economy optimization in waste management: A review of current evidence

open access: yesEnvironmental Progress &Sustainable Energy, EarlyView.
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

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