Results 201 to 210 of about 551,473 (269)

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

Harnessing Thin‐Film Solid‐State Electrolytes: Enabling Breakthroughs in All‐Solid‐State Batteries

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Schematic illustration highlighting the advantages of transitioning from traditional thick solid‐state electrolytes (SSEs) to thin‐film SSEs. Thinning the electrolyte enables higher ionic conductivity, reduced interfacial polarization, improved flexibility, compact electrode contact, and enhanced energy density, offering a promising pathway toward high‐
Yitao He   +3 more
wiley   +1 more source

Lignocellulosic Triboelectric Materials for Energy Harvesting and Emerging Applications: A Review on Lignin‐Molecular Engineering toward Improved Performance

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Contrasting sustainable biomass with depleting petroleum resources, this review charts the evolutionary timeline of lignin‐based TENGs. We systematically evaluate their fundamental mechanisms, enhancement strategies, and applications in green self‐powered electronics.
Yuxin Yang   +9 more
wiley   +1 more source

2D MXene‐Enabled Unidirectional Flexible Optoelectronic Memristor Toward Energy‐Efficient Neuromorphic Photosensing

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A transparent and flexible ITO/ZnO/TiO2/MXene optoelectronic memristor is developed via low‐temperature solution processing, exhibiting intrinsic self‐rectification and analog synaptic plasticity. The device enables wavelength‐selective photosynaptic response and multimodal learning behaviors, demonstrating strong potential for neuromorphic ...
Shoaib Anwer   +5 more
wiley   +1 more source

Experimental Investigation and ANN‐Based Prediction of CI Engine Performance Fueled With Waste Plastic Oil–Diesel Blends Containing Al2O3 Nanoparticles

open access: yesEnergy Science &Engineering, EarlyView.
Waste plastic oil–diesel blends enhanced with Al2O3 nanoparticles were experimentally evaluated in a compression ignition engine under varying injection timings and modeled using artificial neural networks (ANNs). The optimized WP20PD + 1000 ppm blend improved brake thermal efficiency and reduced fuel consumption, while ANN prediction achieved high ...
Dudekula Jamal Basha   +6 more
wiley   +1 more source

Weed-crop dataset in precision agriculture: Resource for AI-based robotic weed control systems. [PDF]

open access: yesData Brief
Upadhyay A   +7 more
europepmc   +1 more source

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