Results 71 to 80 of about 733,441 (303)

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

Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
The normalized difference snow index (NDSI) is the most popular snow detection index. Due to cloud cover, it is difficult to produce complete and gap-free NDSI datasets.
Siyong Chen   +4 more
doaj   +1 more source

Galactic fountains and their connection with high and intermediate velocity clouds

open access: yes, 2008
The aim of this paper is to calculate the expansion law and chemical enrichment of a supershell powered by the energetic feedback of a typical Galactic OB association at various galactocentric radii. We study then the orbits of the fragments created when
Anders   +44 more
core   +1 more source

Primordial molecular clouds [PDF]

open access: yes, 1999
It is now well known that a primordial chemistry, involving light elements produced during the nucleosynthesis period, might develop during the hydrogen post-recombination era. In particular, molecular ions and primordial molecules such as H2, HD and LiH
Puy, D., Signore, M.
core   +3 more sources

Z‐Scheme Water Splitting Systems Based on Solid‐State Electron Conductors

open access: yesAdvanced Functional Materials, EarlyView.
This review examines the latest advances in Z‐scheme overall water splitting (OWS) systems for solar hydrogen production. These systems consist of suspended or immobilized hydrogen evolution photocatalysts (HEPs) and oxygen evolution photocatalysts (OEPs).
Chen Gu   +3 more
wiley   +1 more source

Classifying direct normal irradiance 1‑minute temporal variability from spatial characteristics of geostationary satellite-based cloud observations

open access: yesMeteorologische Zeitschrift, 2020
Variability of solar surface irradiances in the 1‑minute range is of interest especially for solar energy applications. Eight variability classes were previously defined for the 1 min resolved direct normal irradiance (DNI) variability inside an hour. In
Marion Schroedter-Homscheidt   +2 more
doaj   +1 more source

Txt2vz: a new tool for generating graph clouds [PDF]

open access: yes, 2013
We present txt2vz (txt2vz.appspot.com), a new tool for automatically generating a visual summary of unstructured text data found in documents or web sites.
Hirsch, L, Tian, D
core   +2 more sources

Modulating Electrochemical CO2 Reduction Pathways via Interfacial Electric Field

open access: yesAdvanced Functional Materials, EarlyView.
Engineering interfacial electric fields in Cu/ITO electrodes enables precise control of CO2 reduction pathways. Charge transfer from Cu to ITO generates positively charged Cu species that steer selectivity from ethylene toward methane. This work demonstrates how interfacial electric‐field modulation can direct reaction intermediates and transform ...
Mahdi Salehi   +7 more
wiley   +1 more source

Evaluation of boundary-layer type in a weather forecast model utilising long-term Doppler lidar observations [PDF]

open access: yes, 2014
Many studies evaluating model boundary-layer schemes focus either on near-surface parameters or on short-term observational campaigns. This reflects the observational datasets that are widely available for use in model evaluation.
Dacre, H.F., Harvey, N.J., Hogan, R.J.
core   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

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