Results 201 to 210 of about 506,821 (298)

Breaking the Polarity–Coordination Coupling in Electrolyte Design for High‐Voltage Lithium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Steric and electronic co‐regulation of 2,2,2‐trifluoro‐N, N‐dimethylethylamide (DMTFA) decouples high polarity from strong Li+ coordination, creating an anion‐mediated pseudo‐weakly solvating electrolyte. This design lowers Li+ desolvation barriers, enhances Li+ mobility, and builds B‐, F‐, and N‐rich inorganic interphases, enabling stable 3.0–4.6 V ...
Xue Li   +9 more
wiley   +1 more source

Hydraulic Properties of a Rock-Soil-Root System: Insights From Fraxinus ornus L. Saplings Growing on Different Carbonate Rocks. [PDF]

open access: yesPlant Cell Environ
Bert SD   +9 more
europepmc   +1 more source

3D Printed Ordered Porous Architectures of Functional Metal Tellurides for Ultra High Mass‐Loaded Ammonium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Aqueous ammonium‐ion batteries (AAIBs) are emerging as promising alternatives for next‐generation energy storage. To overcome the limited ion diffusion associated with ultrahigh mass‐loading electrodes, this work develops a 3D‐printed porous conductive electrode of metal‐telluride fabricated via selective laser melting technique.
Puja De   +5 more
wiley   +1 more source

Effects of Environmental and Health Information on Willingness to Pay for Local and Organic Foods in Taiwan

open access: yesAgribusiness, EarlyView.
ABSTRACT Using a lab‐in‐the‐field experiment, we investigate how providing information about food miles and pesticide residue influences willingness to pay (WTP) for potatoes among 407 shoppers in Taiwan, split between a supermarket and a farmers market.
Chiu‐Lin Huang   +3 more
wiley   +1 more source

Multi-resolution X-ray micro-computed tomography images of carbonate rocks from brazilian pre-salt. [PDF]

open access: yesSci Data
Vidal AD   +6 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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