Results 261 to 270 of about 9,032,815 (373)

High-efficiency bulk photovoltaic effect with ferroelectric-increased shift current. [PDF]

open access: yesNat Commun
Feng P   +14 more
europepmc   +1 more source

Ferroelectric metal-organic frameworks as wide band gap materials [PDF]

open access: green
Monirul Shaikh   +4 more
openalex   +1 more source

Ferroelectric ordering in ferroelectric materials with mesoscopic disorder

open access: yesFerroelectric ordering in ferroelectric materials with mesoscopic disorder
2009 【要旨】
openaire  

Non‐Volatile Phase Modulation with Ultralow Energy Consumption Enabled by 2D Ferroelectric/TMD Heterostructures

open access: yesAdvanced Science, EarlyView.
We demonstrate a hybrid WS2/CuInP2S6/graphene heterostructure integrated on a silicon nitride microring resonator for non‐volatile optical phase modulation with ultra‐low energy consumption and low insertion loss. While CIPS alone does not provide efficient optical index modulation, the engineered proposed device structure converts ferroelctric domain ...
Lalit Singh   +10 more
wiley   +1 more source

Guidelines for the Optimization of Hafnia-Based Ferroelectrics through Superlattice Engineering. [PDF]

open access: yesACS Appl Electron Mater
van Gent González J   +7 more
europepmc   +1 more source

High‐Entropy Chemical Composition Design for Ultrahigh Capacitive Energy Storage

open access: yesAdvanced Science, EarlyView.
La‐donor doping suppresses defect charges and reduces domain size via local random fields. Conversely, NaNbO3 addition in BNT‐based ceramics stabilizes the orthorhombic phase. This creates R‐O‐T multiphase polar nanoregions within a cubic matrix, which lowers the energy barrier, delays polarization saturation, and enables a high breakdown strength ...
Muhammad Habib   +10 more
wiley   +1 more source

Distribution of antiferromagnetic rare-earth domains in multiferroic Dy<sub>0.7</sub>Tb<sub>0.3</sub>FeO<sub>3</sub>. [PDF]

open access: yesCommun Phys
Zemp Y   +8 more
europepmc   +1 more source

In Situ Quantization with Memory‐Transistor Transfer Unit Based on Electrochemical Random‐Access Memory for Edge Applications

open access: yesAdvanced Science, EarlyView.
By combining ionic nonvolatile memories and transistors, this work proposes a compact synaptic unit to enable low‐precision neural network training. The design supports in situ weight quantization without extra programming and achieves accuracy comparable to ideal methods. This work obtains energy consumption advantage of 25.51× (ECRAM) and 4.84× (RRAM)
Zhen Yang   +9 more
wiley   +1 more source

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