Results 141 to 150 of about 37,511 (289)

Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption

open access: yesAdvanced Science, EarlyView.
Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang   +9 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Reconfigurable Acoustofluidic Microvortices for Selective Microcargo Delivery

open access: yesAdvanced Science, EarlyView.
This work introduces a frequency‐encoded, reconfigurable acoustofluidic system that overcomes the low throughput and poor selectivity of conventional micro‐delivery methods. By exploiting discrete microbubble resonances to program adaptive microvortex modes, the platform enables real‐time switching and selective guidance of microscale payloads through ...
Lei Wang   +6 more
wiley   +1 more source

Dual‐Responsive Yarn‐Based Artificial Muscles for Adaptive Thermal Management

open access: yesAdvanced Science, EarlyView.
Inspired by the conscious movements of skeletal muscle, a novel hybrid yarn‐based artificial muscle (HYAM) coupling moisture actuation with controllable recovery is developed. This unique design increases actuation stroke by 128% and shortens recovery time by 91%. This unique design enhances the actuation stroke by 128% and reduces the recovery time by
Mengjiao Pan   +11 more
wiley   +1 more source

Assessing differential cell composition in single-cell studies using voomCLR. [PDF]

open access: yesBioinformatics
Takele Assefa A   +2 more
europepmc   +1 more source

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