Results 151 to 160 of about 1,149,319 (336)

Removal of Steroid Hormone Micropollutants by an Electrochemical Carbon Nanotube Membrane Flow‐Through Reactor: Role of Concentration and Degradation Mechanisms

open access: yesAdvanced Functional Materials, EarlyView.
A flow‐through electrochemical membrane reactor equipped with a carbon nanotube membrane eliminates the mass transfer limitation, achieving removals >97.5% for steroid hormone (SH) micropollutants through electrochemical adsorption and degradation, over a broad initial concentration varying from 50 to 106 ng L−1.
Siqi Liu   +2 more
wiley   +1 more source

Continuous‐Flow Photocatalytic Degradation of Glyphosate and Aminomethylphosphonic Acid Under Simulated Sunlight with TiO2‐Coated Poly(vinylidene fluoride) Membrane

open access: yesAdvanced Functional Materials, EarlyView.
Glyphosate (GLY) and its primary metabolite, aminomethylphosphonic acid (AMPA), are photodegraded using a poly(vinylidene fluoride) membrane with immobilized titanium dioxide (PVDF‐TiO2) in a continuous flow‐through operation under solar light. At optimized conditions, the PVDF‐TiO2 membrane achieved 95% GLY and 80% AMPA removal with •O2− as the ...
Phuong B. Trinh   +4 more
wiley   +1 more source

Teacher involvement in developing sustainable education materials for AI integration in green energy education [PDF]

open access: gold
Riandi Riandi   +6 more
openalex   +1 more source

Backbone Heterojunction Photocatalysts for Efficient Sacrificial Hydrogen Production

open access: yesAdvanced Functional Materials, EarlyView.
Herein, a ‘single‐component’ organic semiconductor photocatalyst is presented in which a molecular donor is bonded to a polymer acceptor. The resultant material demonstrates exceptional photocatalytic activity for hydrogen evolution in aqueous triethylamine with an outstanding external quantum efficiency of 38% at 420 nm.
Richard J. Lyons   +11 more
wiley   +1 more source

Choosing to Be Green: Advancing Green AI via Dynamic Model Selection

open access: yes
Artificial Intelligence is increasingly pervasive across domains, with ever more complex models delivering impressive predictive performance. This fast technological advancement however comes at a concerning environmental cost, with state-of-the-art models - particularly deep neural networks and large language models - requiring substantial ...
Cruciani, Emilio, Verdecchia, Roberto
openaire   +2 more sources

Ion‐Selective Microporous Membranes via One‐Step Copolymerization Enable High‐Performance Redox Flow Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A scalable one‐step copolymerization strategy is developed to produce low‐cost microporous ion exchange membranes that boost both the efficiency and lifespan of flow batteries. When combined with organic electrolytes in aqueous systems, these membranes enable safe and cheap flow battery energy storage, supporting the widespread integration of renewable
Jiaye Liu   +7 more
wiley   +1 more source

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

open access: yesAdvanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon   +8 more
wiley   +1 more source

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