Results 221 to 230 of about 944,754 (292)

Visualizing a Li‐Depleted Amorphous Cathode–Electrolyte Interphase in Sulfide Solid‐State Batteries Using In Situ Cryogenic Electron Microscopy

open access: yesAdvanced Science, EarlyView.
In situ cryogenic STEM‐EELS and electron diffraction directly visualize Li depletion and structural degradation at the NCM523/Li6PS5Cl interface during charging. The results reveal a Li‐depleted amorphous interphase that impedes Li transport, while LiNbOy coating suppresses interfacial degradation and preserves the solid‐electrolyte structure ...
Yuki Nomura   +10 more
wiley   +1 more source

Designer Moiré Quantum Materials Enabled by Freestanding Oxide Membranes in Twisted and Hybrid Bilayers

open access: yesAdvanced Science, EarlyView.
Freestanding oxide membranes transform twistronics by enabling deterministic stacking, strain release, and integration with two‐dimensional materials. A unified framework links local atomic registry to structural reconstruction, polar textures, charge modulation, flat bands, and magnetic responses, while identifying the fabrication and characterization
Puneet Kaur, Rahul, Jan‐Chi Yang
wiley   +1 more source

High‐Performance Piezoresistive Sensors via Pd/Sn‐Free Graphene‐Catalyzed Metallization of Thermally Repairable Microfiber Scaffolds

open access: yesAdvanced Science, EarlyView.
The multilayer fiber‐based PGC sensor, fabricated via graphene‐mediated electroless copper deposition, demonstrates high sensitivity, mechanical durability, and fast response speed. Additionally, it features low‐temperature thermal assisted recovery and thermal resistance, providing a promising platform for wearable electronic devices and IoT ...
ByungJun Kim   +5 more
wiley   +1 more source

Geometry‐Encoded Soft Strain Sensing via Liquid‐Metal Transmission Lines

open access: yesAdvanced Science, EarlyView.
This study presents a liquid‐metal transmission‐line strain sensor that achieves intrinsic decoupling by encoding axial elongation into propagation delay. The time‐domain readout remains stable under complex off‐axis. This enables reliable, repeatable, real‐time elongation measurement in dynamic, multiaxial loading environments for wearable electronics,
Zhang Liu   +12 more
wiley   +1 more source

Ferroionic Electrostatic Landscapes Enabling Wireless Energy Harvesting, Storage, and Sensing

open access: yesAdvanced Electronic Materials, EarlyView.
By integrating experiments and electrostatic field simulations, we show that long‐range wireless coupling in Li‐based ferroionics devices emerges from the cooperative interaction between ionic migration and electronic polarization. This coupling sustains self‐polarized electrostatic fields across centimeter‐scale air gaps without external bias or ...
M. Helena Braga   +7 more
wiley   +1 more source

Quantification of Electromechanical Coupling to Prevent Inappropriate Implantable Cardioverter-Defibrillator Shocks. [PDF]

open access: yesJACC Clin Electrophysiol, 2019
Keene D   +15 more
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Comment on "Giant electromechanical coupling of relaxor ferroelectrics controlled by polar nanoregion vibrations". [PDF]

open access: yesSci Adv, 2019
Gehring PM   +8 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

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