Results 171 to 180 of about 37,057 (267)

Enhancing wind and solar energy forecasting through time-series feature engineering and ensemble machine learning. [PDF]

open access: yesSci Rep
Elmunim NA   +6 more
europepmc   +1 more source

Multi‐Stimuli Responsive Viologen‐Crosslinked Eutectogels Derived From Natural Deep Eutectic Solvents for Information Security and Motion Detection

open access: yesAdvanced Science, EarlyView.
Described herein is the development of an organic eutectic gel based on a deep eutectic mixture of naturally derived betaine and lactic acid. The eutectic gels exhibit reversible color‐switching in response to multiple stimuli including strain, UV light, and temperature, enabling advanced applications in information security, intelligent wearable ...
Zhiang Bai   +3 more
wiley   +1 more source

ZrO2 Aerogel‐Supported Pd Nanoparticles for Photothermal CO2 Reduction

open access: yesAdvanced Science, EarlyView.
Nanoparticle‐based aerogels are promising catalysts for photothermal reactions due to optical transparency, high surface area, and low thermal conductivity. Here, we present deposition of Pd nanoparticles on ZrO2 aerogel granules by a wet‐impregnation approach.
David Kiwic   +3 more
wiley   +1 more source

A deep learning-based automated Solar-Powered Fish Monitoring System. [PDF]

open access: yesPLoS One
Ahene E   +7 more
europepmc   +1 more source

Integrated Photoelectrode and Electrolyte Engineering via Carbon Quantum Dots for Self‐Powered H2O/O2‐Mediated Portable Photoelectrochemical Cells

open access: yesAdvanced Science, EarlyView.
Surface‐charged N‐CQDs serve as both electrolyte additives and photocathode modifiers. Electrodeposited N‐CQDs on Cu2O form a stable composite, steering 4e− ORR toward water. A quasi‐solid electrolyte with N‐CQDs aids charge migration, electrode‐electrolyte interfacial compatibility and replenishes active sites.
Yang Wu   +12 more
wiley   +1 more source

Advancing the Design of High‐Efficiency Printable Hole‐Conductor‐Free Mesoscopic Perovskite Solar Cells Through Machine Learning

open access: yesAdvanced Science, EarlyView.
Based on the largest printable mesoscopic perovskite solar cells database we established, stacking model achieved precise PCE prediction (R2 = 0.73, MAE = 2.18%). Multiple experiments verified the accuracy of the model, which guided the fabrication of high‐PCE devices with an efficiency of 19.36%.
Hao Meng   +9 more
wiley   +1 more source

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