Results 101 to 110 of about 6,760,588 (269)

Influence of Metal Species and Content of Fe‐Ni‐Poly(heptazine imides) on their Properties as Electrocatalysts for Zinc‐Air Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Iron/nickel‐modified poly(heptazine imides) are efficient, low‐cost bifunctional electrocatalysts for the oxygen reduction and evolution reactions in aqueous zinc–air batteries. Iron enhances oxygen reduction, while nickel single‐atoms deliver oxygen evolution activity comparable to RuO2.
Franz Jacobi   +10 more
wiley   +1 more source

Ultrahigh-energy gamma-ray emission associated with black hole-jet systems. [PDF]

open access: yesNatl Sci Rev
Cao Z   +316 more
europepmc   +1 more source

Automatic Determination of Quasicrystalline Patterns from Microscopy Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender   +2 more
wiley   +1 more source

Metal‐Mediated Nitrogen Doping of Carbon Supports Boosts Hydrogen Production from Ammonia

open access: yesAngewandte Chemie, EarlyView.
A virtuous catalytic cycle is established as the carbon support simultaneously tunes electron density and stores atomic nitrogen formed via Ru–N species during ammonia decomposition, resulting in self‐enhancing catalysis. Abstract Ammonia is an attractive hydrogen carrier, yet its practical use is limited by the need for efficient catalytic ...
Thomas J. Liddy   +20 more
wiley   +2 more sources

Analysis of massive data in astronomy

open access: yesKorean Journal of Applied Statistics, 2016
openaire   +2 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu   +4 more
wiley   +1 more source

A young progenitor for the most common planetary systems in the Galaxy. [PDF]

open access: yesNature
Livingston JH   +41 more
europepmc   +1 more source

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