Results 151 to 160 of about 2,408,113 (325)

Single‐Step Conversion of Metal Impurities in CNTs to Electroactive Metallic Nitride Nanoclusters for Electrochemical CO2 Reduction

open access: yesAdvanced Functional Materials, EarlyView.
A single‐step, low‐temperature co‐pyrolysis process removes encapsulated seed metal NPs (10–50 nm) from CNTs, redistributing them as surface‐anchored metal and metal–nitride NCs (1–1.5 nm). Herein, Ni3N NCs achieve an ultra‐low onset overpotential for CO2 reduction to CO with >98% Faradaic efficiency across 100–700 mA cm−2.
Ahmed Badreldin   +15 more
wiley   +1 more source

Fuzzy mathematical programming applied to the material requirements planning (MRP)

open access: yesRevista Técnica de la Facultad de Ingeniería, 2010
A rational approach toward decision-making should take into account human subjectivity, rather than employing only objective probability measures. This attitude towards the uncertainty of human behavior led to the study of a relatively new decision ...
Martín Darío Arango Serna   +2 more
doaj  

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

Engineering Porous Hollow Metal‐Poly(Heptazine Imide) Spheres: An Optimized Synthetic Strategy for Controlling Surface, Morphology, and Properties

open access: yesAdvanced Functional Materials, EarlyView.
Hollow poly(heptazine imide) spheres are prepared through a novel approach that integrates hard templating with ionothermal synthesis. This method enables precise control over surface area, pore volume, hydrophilicity, light absorption, band position, and metal composition. These tunable properties facilitate the customized design of semiconductors for
Lingli Ni   +10 more
wiley   +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

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