Results 271 to 280 of about 234,249 (389)

Directional Regulation of Zinc Deposition Through Constructing Hierarchical Janus Carbon Matrix with Organic‐Decorated Multi‐Channels

open access: yesAdvanced Science, EarlyView.
A Janus carbon matrix is engineered by covalently anchoring organic sulfonic anions within tubular pores of hierarchical CMK‐5, serving as an interfacial layer for Zn metal anodes. This design establishes a charge gradient for Zn2+ diffusion, enabling the directional deposition of confined and uniform Zn inside the pores while suppressing parasitic ...
Li Gao   +14 more
wiley   +1 more source

Prenatal exposure to per- and polyfluoroalkyl substances and risk of autism spectrum disorder in the California Central Valley, 2004-2010. [PDF]

open access: yesEnviron Epidemiol
Osborne K   +9 more
europepmc   +1 more source

Review: Insight on Porous Carbon Positive Electrode for Sodium‐Ion Capacitors: Interplay Between Synthesis, Properties, and Performance

open access: yesAdvanced Science, EarlyView.
Sodium ion capacitor (SIC) is currently constrained by the low discharge capacity of commercial activated carbon as positive electrode material. This review provides a holistic summary of research efforts on alternative porous carbon materials for SIC. Image created by the authors with www.biorender.com.
Ademola Adeniji   +2 more
wiley   +1 more source

The Faraday Scalpel: Electrochemical Nerve Lesioning Mechanisms Studied in Invertebrate Models

open access: yesAdvanced Science, EarlyView.
Direct‐current produces nerve lesioning through discrete electrochemical reactions. Using hypoxia‐sensitive locust nerves and hypoxia‐tolerant leech nerves, we map three injury pathways: cathodic oxygen reduction, cathodic alkalization, and anodic chloride oxidation. These findings establish electrochemical lesioning—the “Faraday Scalpel”—as a precise,
Petra Ondráčková   +5 more
wiley   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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