Results 171 to 180 of about 7,115 (216)

Designer Dynamic DNA Nanoaggregate in Living Cell for Mitochondrial Energy Restriction

open access: yesAdvanced Science, EarlyView.
This study presents the Tech‐tetrahedron, a designer dynamic DNA nanoaggregate engineered for precise mitochondrial energy restriction. Its trinity‐functionalized design integrates navigable unit, telomerase‐activated latch, and self‐assembly module.
Ruijia Deng   +12 more
wiley   +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

Chemically Programmable Underwater Sound‐Absorbing Metamaterial via MXene Self‐Assembly

open access: yesAdvanced Science, EarlyView.
MXene self‐assembly creates a chemically programmable underwater metamaterial with quasi‐periodic layers and a chemical‐physical multi‐level constraint system. A crosslinker as a ‘chemical scissor’ precisely edits microscopic interactions, exciting deep‐subwavelength strong local resonances that induce near‐zero/negative effective bulk modulus (Keff ...
Ziwen Gan   +5 more
wiley   +1 more source

All-optical logic processing unit using Kerr nonlinearity of MXene. [PDF]

open access: yesNat Commun
Ge Y   +14 more
europepmc   +1 more source

Interacting Parallel Fluidic Hysterons

open access: yesAdvanced Science, EarlyView.
The parallel coupling of fluidic hysterons is introduced, establishing advanced functionalities in inflatable soft systems. A pressure–volume framework reveals how preset volumes Δv∗${\Delta }v^*$ tune nonlinear interactions between hysterons and actuation sequences without changing architecture. Experiments validate the predictions, opening new routes
Katrien Stinissen   +2 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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