Results 171 to 180 of about 1,916,947 (303)

Interface‐Mediated Catalysis for Improved Hydrogen Storage in Reactive Hydride Composites

open access: yesAdvanced Materials, EarlyView.
Catalyst–hydride interfaces are engineered in Co@C‐ and Ni@C‐modified 2LiH + MgB2 reactive hydride composites to accelerate hydrogen uptake and release. Multiscale scattering, in‐situ synchrotron radiation powder x‐ray diffraction and density functional theory calculations reveal the structural and electronic origin of the catalytic enhancement ...
Yuanyuan Shang   +12 more
wiley   +1 more source

Machine learning-based solar radiation prediction across heterogeneous climatic zones using NASA POWER data: a case study in Nigeria. [PDF]

open access: yesFront Artif Intell
Faloye OT   +7 more
europepmc   +1 more source

University of Arizona, Institute of Atmospheric Physics, Progress Report No. 2

open access: yes, 1955
This title from the Institute of Atmospheric Physics Reports collection is made available by the Department of Hydrology & Atmospheric Sciences and the University Libraries, University of Arizona.
Braham, Roscoe R., Jr.
core  

Phase‐Engineered MoS2 Quantum Monolayer Catalysts

open access: yesAdvanced Materials, EarlyView.
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang   +12 more
wiley   +1 more source

Atmospheric and Geogenic Controls of Rainwater and Stream-Water Chemistry in an Aleppo-Pine-Dominated Mediterranean Karst Catchment. [PDF]

open access: yesPlants (Basel)
Butorac L   +5 more
europepmc   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

Multidecadal preindustrial methane variability can be explained by noise in the source-sink imbalance. [PDF]

open access: yesProc Natl Acad Sci U S A
Mei EJ   +5 more
europepmc   +1 more source

A Critical Call for Mechanistic Investigations of Metal‐Bacteria Interactions

open access: yesAdvanced Materials, EarlyView.
It is well established that the antibacterial properties of metals have tremendous importance for bioengineering applications. What is not as appreciated, however, is the reproducibility crisis in this field's vast literature. In this perspective, we highlight this reproducibility problem, discuss its sources, and suggest solutions towards focused ...
J. Rackwitz   +9 more
wiley   +1 more source

Near‐Infrared Imaging of H2O2 in Plants With Nanosensors Under Environmentally Changing Conditions

open access: yesAdvanced Materials, EarlyView.
This paper reports a ratiometric nanosensor enabling robust, multivariate detection of stress signals (H2O2) in plants, with high resistance to light fluctuations and mechanical disturbances. Single‐walled carbon nanotubes serve as the sensor, Egyptian Blue nanosheets serve as a stable reference, and plant autofluorescence serves as a label‐free ...
Jiaqi Li   +8 more
wiley   +1 more source

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