Results 221 to 230 of about 192,633 (340)

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

open access: yesAdvanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source

High‐Throughput Screening and Characterization of Non‐Flammable Na‐Cl Solid Electrolytes

open access: yesAdvanced Electronic Materials, EarlyView.
A Na‐Cl solid electrolyte with high ionic conductivity is screened from a structural database using force‐field molecular dynamics (MD) simulations and density functional theory (DFT)‐MD calculations. Na3La5Cl18 is identified, synthesized, and characterized.
Naoto Tanibata   +6 more
wiley   +1 more source

Intrinsic Mechanical Parameters and their Characterization in Solid‐State Lithium Batteries

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
This review focuses on the intrinsic mechanical parameters and their associated characterization in solid‐state batteries. The physical significance of mechanics parameters is introduced with exhaustive classifications by elastic, plastic deformations and fracture in bulk, adhesion, friction at interfaces, and mechanical fatigue in cells ...
Shuai Hao   +5 more
wiley   +1 more source

Impact of Extrusion and Direct Calendering on Dry‐Coated Cathodes for Sulfidic All‐Solid‐State Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This work demonstrates a parameter optimization for a scalable dry coating process of sulfidic ASSB cathodes (82 wt% CAM, 0.5 wt% PTFE binder) in dry room atmosphere. High‐shear extruder mixing and calendering are used to form a cathode film based on PTFE fibrillation.
Michael Wolf   +9 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

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