Results 151 to 160 of about 248,414 (310)

Rational Fine‐Tuning of MOF Pore Metrics: Enhanced SO2 Capture and Sensing with Optimal Multi‐Site Interactions

open access: yesAdvanced Functional Materials, EarlyView.
A pore tuning strategy to amplify the multi‐site MOF‐SO2 interactions is proposed to achieve an enhanced trace SO2 capture and chemiresistive sensing in highly stable isostructural DMOFs by annelating benzene rings. This work provides a facile strategy to achieve tailor‐made stable MOF materials for specific multifunctional applications.
Shanghua Xing   +9 more
wiley   +1 more source

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

open access: yesAdvanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan   +16 more
wiley   +1 more source

Self‐supportive Three‐Way Photoelectrochemical System Achieving Uranium Recycling, Organic Oxidation, and Electricity Generation in Complex Waters

open access: yesAdvanced Functional Materials, EarlyView.
A self‐sustaining solar photoelectrochemical cell (SS‐PEC) is developed to recover uranium from aqueous UO22+ with concurrent organic oxidation and electricity production. The monolithical photoanode directly captures electrons from organic compounds, leading to the oxidation of organic compounds and the decomposition of uranium‐organic complexes ...
Yumei Wang   +7 more
wiley   +1 more source

Effect of convective transport in edge and scrape-off-layer plasmas of ADITYA-U tokamak. [PDF]

open access: yesSci Rep
Dey R   +9 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy