Results 141 to 150 of about 65,476 (263)

Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide

open access: yesAdvanced Electronic Materials, EarlyView.
This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali   +3 more
wiley   +1 more source

Thickness‐Tuned Berry Curvature in vdW Epitaxial Cr3Te4 Ultrathin Films

open access: yesAdvanced Electronic Materials, EarlyView.
An investigation of thickness‐modulated Berry curvature in stoichiometric, high‐quality van der Waals epitaxial Cr3Te4 films. Surface and interface Te(CrTe2)‐termination enables Fermi level shifting via thickness variation, modulating Berry curvature near the band crossing point, thereby establishing termination engineering (may called Terminonics) as ...
Minghui Gu   +6 more
wiley   +1 more source

Combinatorial Survey of Structural Phase Distribution and Magnetism in Fe‐Ge‐Te Composition‐Spread Thin Film Libraries

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Magnetic 2‐dimensional (2D) van der Waals (vdW) materials have garnered tremendous attention. The vdW ferromagnet Fe5Ge1Te2 has a Curie temperature Tc of ≈ 270 K, which is tailorable by tuning the stoichiometry and the Fe deficiency to reach room temperature.
Chih‐Yu Lee   +7 more
wiley   +1 more source

Resolving Oxidative and Corrosive Calendar‐Aging via Electrolyte Engineering for Stable Lithium Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
A weakly solvating ether solvent, 1,2‐dimethoxypropane (DMP), is proposed for use in localized high‐concentration electrolytes (LHCEs) for lithium metal batteries (LMBs). These DMP‐based LHCEs simultaneously suppress lithium metal corrosion and cathode degradation—two interrelated processes that accelerate calendar aging of LMBs.
Jisub Kim   +14 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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