Results 161 to 170 of about 344 (214)

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

InfoMat, EarlyView.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda, Deepak Kumar, Iman Biswas, Manisha Sharma, Youngmin Lee, Sejoon Lee, Sanjeev Kumar Sharma, Aniruddha Mondal   +7 more
wiley   +1 more source

Artificial sensory and motor nervous systems enabled by bioinspired nanowire heterostructure synapse

InfoMat, EarlyView.
A p‐i‐n heterostructured junction synaptic transistor was fabricated, composed of poly(3‐hexylthiophene‐2,5‐diyl) nanowire thin‐film/poly(methyl methacrylate)/ZnO nanowires (PZJ STs), which can emulate biological sensory and motor nervous systems.
Lu Yang, Shuo Zhang, Yue Li, Hong Han, Qingwen Cheng, Zhipeng Xu, Ning Wu, Wentao Xu   +7 more
wiley   +1 more source

Automated Imaging of Cultured Bacteria in Picoliter Droplets by Coherent Anti‐Stokes Raman Scattering and Two‐Photon Excited Fluorescence Microscopy

Journal of Raman Spectroscopy, EarlyView.
We present an automated system that combines an image‐based fuzzy logic controller for precise positioning of microfluidic picoliter droplets with nonlinear microscopy, using CARS and TPEF modalities for detailed analysis of droplet composition. Time series and z‐stack images of E. coli, B. subtilis, and M. arborescens were recorded.
Fabian Ott, Ashkan Samimi, Sundar Hengoju, Tobias Meyer‐Zedler, Michael Schmitt, Miriam A. Rosenbaum, Jürgen Popp   +6 more
wiley   +1 more source

Long‐Range Exciton Energy Transfer in Two‐Dimensional Materials

Laser &Photonics Reviews, EarlyView.
This review highlights recent advances in long‐range exciton energy transfer within planar 2D‐material architectures. It emphasizes the emergence of self‐hybridized excitonpolaritons, exciton coupling to surface plasmon polaritons and plasmonic lattices, and the role of dipoledipole transfer pathways in enabling efficient nanoscale energy transport ...
Paul H. Bittorf, Maximilian Black, Hebrew Crispin, Prabhdeep Singh, Parsa Darman, Sara Darbari, Fatemeh Chahshouri, Masoud Taleb, Nahid Talebi   +8 more
wiley   +1 more source

Nano Delivery Strategy Opens Effective Avenues for the Treatment of Colorectal Cancer

Medicine Bulletin, EarlyView.
ABSTRACT Colorectal cancer (CRC) presents significant therapeutic challenges because of chemoresistance, systemic toxicity, and the complexity of the tumor microenvironment (TME). Nanodrug delivery systems (NDDS) have emerged as versatile platforms capable of overcoming these limitations by enhancing tumor accumulation, improving pharmacokinetics, and ...
Qiurong Wei, Yunli Xu, Tianjiao Zhang, Shuyu Xu, Haonan Wang, Yuan Wang, Xinxin Xie, Xiaolong Liang   +7 more
wiley   +1 more source

Integrating Chain‐of‐Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis From Clinical Notes

Medicine Bulletin, EarlyView.
ABSTRACT Background Several studies show that large language models (LLMs) struggle with phenotype‐driven gene prioritization for rare diseases. These studies typically use Human Phenotype Ontology (HPO) terms to prompt foundation models such as GPT and LLaMA to predict candidate genes.
Zhanliang Wang, Da Wu, Quan Nguyen, Kai Wang   +3 more
wiley   +1 more source

TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System

Materials Genome Engineering Advances, EarlyView.
TopoMAS is an interactive multi‐agent framework that revolutionizes topological materials discovery through human–AI collaborative intelligence. The system integrates natural language processing, knowledge retrieval from literature and databases, crystal structure generation, and automated first‐principles calculations within a unified workflow.
Baohua Zhang, Xin Li, Huangchao Xu, Zhong Jin, Quansheng Wu, Ce Li   +5 more
wiley   +1 more source

MatImageAgent: A Large Language Multimodal Agent for Materials Characterization Images

Materials Genome Engineering Advances, EarlyView.
MatImageAgent, an LLM‐powered agent‐based system, automates materials science image analysis by task descriptions, shows high stability/accuracy, and boosts productivity by reducing programming needs. ABSTRACT Our study introduces MatImageAgent, an agent‐based system that employs large language models (LLMs) to completely automate the image analysis ...
Mingxi Jiang, Mohamed AitTamerd, Ziqing He, Wenzhu Bi, Manling Zhao, Shuran Li, Menghao Yang   +6 more
wiley   +1 more source

RNA‐binding protein RBMS1: A new target for cancer diagnosis and treatment

Precision Medical Sciences, EarlyView.
This schematic illustrates the diverse regulatory roles of RNA‐binding motif single‐stranded interacting protein 1 (RBMS1) across multiple human cancers. In breast cancer, RBMS1 stabilizes B4GALT1 mRNA to promote PD‐L1 glycosylation, modulating tumor immune escape and immunotherapy efficacy.
Xingda Run, Shiwei Jiang, Kun Xu, Yu Fan, Yanwen Chen, Ziao Liu, Zengli Miao, Wei Tian   +7 more
wiley   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source