Results 181 to 190 of about 104,854 (219)

Photonic non-Abelian topological insulators with six bands. [PDF]

open access: yesNat Commun
Jiang T   +9 more
europepmc   +1 more source

Constructing Seamless Interfaces for Ultrastable Flexible Supercapacitors

open access: yesAdvanced Science, EarlyView.
Seamless electrode/electrolyte and electrolyte/electrolyte interfaces with boosted interfacial toughness and adhesion are constructed by anchored interfacial polymerization and in situ polymerization, respectively. The achieved supercapacitor exhibits ultrahigh capacitance retention over 100,000 times of charge/discharge or folding deformation ...
Keyi Dong   +8 more
wiley   +1 more source

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

open access: yesAdvanced Science, EarlyView.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu   +15 more
wiley   +1 more source

Manifold topological deep learning for biomedical data. [PDF]

open access: yesNat Commun
Liu X   +5 more
europepmc   +1 more source

Triple‐Mode Ferroelectric Thin‐Film Transistor for Hybrid Electrical–Optical Reservoir Computing

open access: yesAdvanced Science, EarlyView.
A triple‐mode ferroelectric thin‐film transistor is developed by integrating Si3N4/HZO/IGZO layers to realize three independent memory modes: electric long‐term, electric short‐term, and optical short‐term. This single‐device architecture functions as both a reservoir and readout layer, achieving 92.43% MNIST accuracy. It offers a fully hardware‐based,
Hyeonho Lee   +9 more
wiley   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

open access: yesAdvanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy