Results 181 to 190 of about 23,111 (264)

Mixed‐Polymer Hole Transport Layers Reinforce Au‐Anode Top Emitting Perovskite Light Emitting Diodes

open access: yesAdvanced Science, EarlyView.
Au‐anode corrosion is shown to occur rapidly under voltage bias in MAPbI3 perovskite LEDs. Resulting Au+ migration quickly leads to device shorting and unstable emission during constant current driving. We demonstrate that using a simple mixed‐polymer hole transport layer containing polyTPD and PVK can reduce Au‐corrosion and stabilize LED operation ...
James C. Loy   +5 more
wiley   +1 more source

Nanopore‐Based Protein Deceleration and Sensing Using Graphene/Si3N4 Dual Membrane Cavity

open access: yesAdvanced Science, EarlyView.
A graphene/Si3N4 dual membrane cavity system achieves multi‐stage protein deceleration through spatial geometry. Multi‐level current traces provide high‐resolution spatial localization and early warning signals. ABSTRACT Sequencing of protein with nanopores has emerged as a powerful tool offering rapid readout, high accuracy, low cost, and portability.
Yubin Cao, Junzhou He, Wei Si
wiley   +1 more source

An adaptive A-Star algorithm to handle blood transportation using UAVs. [PDF]

open access: yesSci Rep
Zaki C   +6 more
europepmc   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

An exciting Approach to Theoretical Spectroscopy

open access: yesAdvanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno   +29 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

open access: yesAdvanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai   +3 more
wiley   +1 more source

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