Results 181 to 190 of about 15,531 (317)

Highly Aligned Bacteria Cellulose Yarn Aggregation for Energy Generation and Strain Sensing

open access: yesAdvanced Science, EarlyView.
Although high‐performance bacterial cellulose fibers have attracted significant interest for wearable electronics, a self‐powered and high‐mechanosensitive design is still scarce for achieving an intelligent integrated system. Here, we demonstrate an innovative bio‐fabrication strategy to develop a core‐sheath yarn that features the ordered network and
Chong Gao   +9 more
wiley   +1 more source

A Si‐MoSe2 Heterostructured Anode with Enhanced Thermal Transport and Electrochemical Performance for Liquid and All‐Solid‐State Lithium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
Chemically bonded Si@MoSe2@C heterointerfaces with robust Si─Se─Mo bonds enable high‐performance Si anodes. Lattice‐matched MoSe2 on porous Si with carbon‐protective coating delivers 1054 mAh g−1 after 100 cycles and 99.5% Coulombic efficiency over 400 cycles.
Yajun Zhu   +11 more
wiley   +1 more source

The Analysis of LCL Resonant Inverter for Inductive Power Transfer Application

open access: diamond, 2017
Nattapong Hatchavanich   +3 more
openalex   +2 more sources

A comparison on simulated, analytic, and measured impedance values for an inductive power transfer system

open access: diamond, 2020
Marius Hassler   +5 more
openalex   +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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