This review first introduces the diversified applications of large language models in materials discovery. Subsequently, the evolution of autonomous experimentation platforms empowered by large language models is analyzed. Finally, four key future research interests are proposed to develop embodied large models for driving autonomous experimentation ...
Zhen Song +6 more
wiley +1 more source
The median artery forearm free flap: an anatomic anomaly transformed into a surgical opportunity. [PDF]
Yasmeen S +4 more
europepmc +1 more source
TopoMAS: Large Language Model Driven Topological Materials Multi‐Agent System
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 +5 more
wiley +1 more source
WSVAD-CLIP: Temporally Aware and Prompt Learning with CLIP for Weakly Supervised Video Anomaly Detection. [PDF]
Li M, Sang J, Lu Y, Du L.
europepmc +1 more source
A Fusion Algorithm for Pedestrian Anomaly Detection and Tracking on Urban Roads Based on Multi-Module Collaboration and Cross-Frame Matching Optimization. [PDF]
Zhao W, Gong X, Li L, Zuo L.
europepmc +1 more source
Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language Models. [PDF]
Wang G +7 more
europepmc +1 more source
The Silent Shunt: Traumatic Splenic AV Fistula Revealed and Treated Endovascularly. [PDF]
Sharma G, Singh R, Garg P.
europepmc +1 more source
A rare twist in ohvira syndrome: When menstrual blood takes an unusual route: A case report. [PDF]
Ghosh RP +4 more
europepmc +1 more source

