Results 141 to 150 of about 1,882 (211)

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

open access: yesAdvanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu   +16 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

open access: yesAdvanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao   +3 more
wiley   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

open access: yesAdvanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh   +8 more
wiley   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

open access: yesAdvanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Synergistic 3D Porous Architectures and Halogen Redox Chemistry for High‐Energy and High‐Power Microbatteries

open access: yesAdvanced Science, EarlyView.
3D porous Ni scaffolds with PANI cathode, Zn anode, and halogen redox chemistry synergistically enhance on‐chip microbattery performance by improving active material loading, Zn2+ diffusion, and charge‐transfer kinetics. The resulting 3D Zn//I2 microbatteries deliver high areal capacity, high energy and power density, and excellent cycling stability ...
Yijia Zhu   +6 more
wiley   +1 more source

Hair Follicle Seedling Cryomicroneedles from Hierarchical Microfluidic Organoid on a Chip

open access: yesAdvanced Science, EarlyView.
In this paper, a hierarchical microfluidic chip is developed to produce uniform hair follicle organoids (HFOs) in cryomicroneedles. Cryopreservation agents encapsulate HFOs, preserving viability and hair growth potential. The cryomicroneedles enable simple intradermal transplantation with good skin penetration.
Xinyue Cao   +3 more
wiley   +1 more source

Adaptive Coordination Engineering for Efficient and Robust H2 Release

open access: yesAdvanced Science, EarlyView.
β‐H elimination is a pivotal but challenging step in homogeneous formic acid dehydrogenation reactions due to strict hydride‐metal matching. By using a rationally designed Pd1Ag2 bimetallic system with adaptive Pd1‐Ag2/L2 coordination and formate bridges, it enables boosted formic acid dehydrogenation under ambient air (7.7 times higher than a Pd ...
Xiaolin Jiang   +8 more
wiley   +1 more source

Large Language Model‐Informed Dual‐Track AI Framework for the Synergistic Design of Crack‐Free and High‐Strength Superalloys

open access: yesAdvanced Science, EarlyView.
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao   +9 more
wiley   +1 more source

Spatiotemporal Targeting Randle Cycle and Immune Checkpoint for Potent Antitumor Therapy

open access: yesAdvanced Science, EarlyView.
A glucose oxidase‐based nanogel (GOX‐NG) system using catechol‐functionalized alginate, exhibits enhanced tumor penetration, prolonged retention, and sustained glucose depletion in the tumor microenvironment. When combined with a fatty acid oxidation inhibitor, it implements dual metabolic suppression, thereby enhancing ROS‐induced immunogenic cell ...
Yuan Gao   +11 more
wiley   +1 more source

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