Results 141 to 150 of about 209,003 (282)

In Situ Stress‐Dispersing Hydrogel Millispheres via Load Redistribution to Restore Nucleus Pulposus Metabolic Homeostasis

Advanced Science, EarlyView.
Local stress concentration disrupts metabolic homeostasis and induces inflammation in the nucleus pulposus (NP), thereby accelerating intervertebral disc degeneration (IDD). A biomimetic HA/ChS hydrogel millimeter sphere (ChS@HM) is developed to enable synergistic stress dispersion and sustained hydration lubrication.
Ang Li, Hui Yuan, Honglei Xiao, Xiaodong Liu, Wenguo Cui   +4 more
wiley   +1 more source

A Dual‐Functional Biohybrid Nanorobot to Synergistically Eradicate Biofilm and Degrade Antibiotic Resistance Genes

Advanced Science, EarlyView.
A biohybrid nanorobot integrating lytic bacteriophage N4 with Pd nanozymes is developed for targeted eradication of multidrug‐resistant E. coli biofilms. Synergistic bacterial lysis and ROS‐mediated oxidation enable simultaneous biofilm removal and antibiotic resistance genes degradation, maintaining high efficacy in complex wastewater environments ...
Junzheng Zhang, Tong Dou, Luokai Wang, Jingxian Yang, Wenrui Wang, Shuaitian Guo, Xiangyu Li, Xuefang Huang, Yunlei Xianyu, Dongsheng Wang   +9 more
wiley   +1 more source

Dumbbell‐Structured Plasmonic‐Enhanced Optical Nanoprobes Boosting Photo‐Magnetic‐Acoustic Multimodal Imaging‐Guided Photodynamic‐Photothermal Synergistic Treatment and Immunogenic Death in Nasopharyngeal Carcinoma

Advanced Science, EarlyView.
This study reports a novel rationally‐designed optical nanoprobe based on dumbbell‐shaped mesoporous silica‐coated gold nanorods, loaded with rare‐earth oxides, photosensitizers, and tumor‐targeted peptides, enabling plasmonic‐enhanced multimodal imaging and PTT‐PDT synergy.
Baikang Zhuang, Yubiao Yang, Wen Han, Yi Tang, Chengxin Yao, Fuli Zhao, Wenxiao Fang, Jinjie Li, Xiaolan Huo, Yiqian An, Yuanzhi Shao, Botao Gao, Jinchang Yin   +12 more
wiley   +1 more source

Wireless, Adaptable and Fully Implantable Battery‐powered Devices for Optical Stimulation of the Spinal Cord in Small Rodents

Advanced Science, EarlyView.
Current technologies for spinal cord optogenetic stimulation rely on external power sources and face reliability constraints in freely behaving animals. Here, a fully implantable, battery‐powered optoelectronic device is introduced, enabling operation in any selected environment with wireless recharging for months‐long stimulation.
Shahriar Shalileh, Adan Moallemi, Elham Mohseni Vadeghani, Samuel Tretjakov, Brianna Tsuyuki, Alexander Golab, Benjamin Rever, Wolfram Tetzlaff, Dena Shahriari   +8 more
wiley   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

An adaptive, energy-efficient and secure routing protocol for zone-related mobile Ad-hoc networks using reinforcement learning. [PDF]

Sci Rep
Singh SB, Rizvi MA, Saxena K, Gupta R, Tripathi AN, Dewangan NK.   +5 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source