Results 171 to 180 of about 1,385,960 (332)

Ethics & Fan studies

open access: yesLes carnets de la bande dessinée, 2010
openaire   +2 more sources

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

Study on the Characteristics of Vortices between the Blades of Sirocco Fan

open access: diamond, 2022
Kosuke SETO   +8 more
openalex   +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

Enhancing Direct Solar Water Splitting via ALD of Multifunctional TiO2/Pt Nanoparticle Coatings With Engineered Interfaces to GaAs/GaInP Tandem Cells

open access: yesAdvanced Functional Materials, EarlyView.
Multifunctional atomic layer deposited coatings and interface treatments enhance direct solar water splitting on GaAs/GaInP tandem cells. Optimized TiO2/Pt nanoparticle bilayers ensure durability and catalytic efficiency with minimal optical losses, while H2 plasma pretreatments maximize photovoltage and interfacial charge extraction.
Tim F. Rieth   +8 more
wiley   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

open access: yesAdvanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto   +8 more
wiley   +1 more source

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