Results 111 to 120 of about 6,852 (175)

Precision Lignocellulosic Biorefinery: Process Regulation From Corn Stover to Products

open access: yesAdvanced Science, EarlyView.
This study presents a precision biorefinery framework that transforms corn stover into high‐value bioproducts through whole‐process regulation. Mechanical fractionation separates feedstock into parenchyma‐rich short fibers and vascular‐bundle‐dominant long fibers.
Xue‐Cheng Lin   +4 more
wiley   +1 more source

Silicon‐Embedded Multifunctional Heterogeneous Integration for Miniaturized Photoplethysmography Detection Devices

open access: yesAdvanced Science, EarlyView.
ABSTRACT The multifunctional integration of chips with high flexibility and scalable manufacturing is crucial for enhancing chip performance, reducing chip size, and simplifying chip design. However, balancing volume, cost, flexibility, and functionality using traditional heterogeneous integration methods is challenging.
Lang Chen   +7 more
wiley   +1 more source

Tailoring Successive Magnetic‐Dielectric Synergy for Enhancing Electromagnetic Absorption in Ultralong Heterostructure Chains Assisted by High Static Magnetic Field

open access: yesAdvanced Science, EarlyView.
This work proposes a high static magnetic field (HSMF) driven dual‐low‐dimension strategy for fabricating magnetic‐dielectric heterostructure (Fe3O4@MoS2) chains with programmable lengths. The constructed successive magnetic‐dielectric synergy, arising from uniaxial anisotropy‐enhanced magnetic response and abundant heterointerfaces that boost ...
Zhuolin Li   +5 more
wiley   +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

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