Results 111 to 120 of about 1,065 (169)

Substrate Engineering of SWCNT p–n Junctions for Dual‐Mode Power Generation and Heat‐Flux Sensing

open access: yesAdvanced Science, EarlyView.
Through substrate engineering alone, a single‐walled carbon nanotube p–n junction device switches between two functions under uniform infrared irradiation. A low‐absorbance substrate sustains a central hot junction for continuous power generation, whereas high‐absorbance substrates transiently invert the temperature gradient for sensitive heat‐flux ...
Ryota Tamai   +3 more
wiley   +1 more source

Differential Tissue‐Coupled Powering for Battery‐Free Injectable Electroceuticals

open access: yesAdvanced Science, EarlyView.
A thread‐like injectable neural stimulator is powered through differential tissue‐coupled powering (DTCP), which harvests RF‐frequency tissue potentials with an elongated receiver while preserving a injectable cross‐section. The system integrates an ASIC, stimulation electrodes, and a portable transmitter, enabling wireless peripheral nerve stimulation,
Han Wu   +13 more
wiley   +1 more source

Continuous Evolution System Based on Toxin–Antitoxin System Combined with Base Deaminase Accelerates the In Vivo Modification of Target Proteins

open access: yesAdvanced Science, EarlyView.
The promoted Escherichia coli‐assisted continuous evolution (PEACE) system operates through a stringent three step genetic circuit: target gene mutation via a deaminase–T7 RNA polymerase (T7 RNAP) fusion, coupling variant function to antitoxin expression, and growth based selection of surviving cells.
Xinyu Zhang   +10 more
wiley   +1 more source

Receptogenesis in a Vascularized Robotic Embodiment

open access: yesAdvanced Science, EarlyView.
Functional augmentation of situated robots via ex novo hardware generation extends physical adaptability. Drawing inspiration from open circulatory systems for mass and function redistribution, this study presents a vascularized robotic composite exhibiting receptogenesis ‐ the on‐demand construction of sensors ‐ from internal fluid reserves based on ...
Kadri‐Ann Pankratov   +8 more
wiley   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

open access: yesAdvanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv   +10 more
wiley   +1 more source

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