Results 191 to 200 of about 6,299 (262)

Selective Electrolysis of Water Under Artificial Seawater Conditions Using Transition Metal Borate Anodes

open access: yesAdvanced Energy Materials, EarlyView.
The borate‐based cobalt‐iron catalyst promotes selective oxidation of water rather than chlorine evolution reaction during electrolysis of seawater. When integrated into a zero‐gap electrolyzer prototype, this catalyst supports robust splitting of artificial seawater into oxygen and hydrogen on an extended timescale.
Ananta R. Fareza   +10 more
wiley   +1 more source

Recent Advances in Nano‐Microstructured Catalysts for Electrochemical Seawater Electrocatalysis

open access: yesAdvanced Energy Materials, EarlyView.
This review highlights advances in nano‐ and microstructured catalysts for electrochemical seawater conversion. It elucidates design principles, mechanistic understanding, and machine‐learning‐assisted discovery, and outlines key challenges and future opportunities toward efficient, selective, and durable seawater electrocatalysis.
Xiaodong Shao   +5 more
wiley   +1 more source

A precise metallicity and carbon-to-oxygen ratio for a warm giant exoplanet from its panchromatic JWST emission spectrum. [PDF]

open access: yesProc Natl Acad Sci U S A
Wiser LS   +13 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu   +5 more
wiley   +1 more source

A Survey of Current Operations-Ready Thermospheric Density Models for Drag Modeling in LEO Operations. [PDF]

open access: yesJ Astronaut Sci
Mutschler S   +10 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Molecule by Molecule Characterization of a Polymer Molecular Mass Distribution via Mass Photometry

open access: yesAngewandte Chemie, EarlyView.
Mass photometry (MP) was utilized to achieve label‐free, molecule‐by‐molecule measurement of the full polymer molecular mass distribution (MMD) of a synthetic polymer without the need for sample fractionation. The ability to elucidate the full MMD in minutes, as opposed to having only specific moments of the MMD acquired in hours via chromatography ...
Rachel Czerwinski   +5 more
wiley   +2 more sources

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