Analysis of Top-Down Perceptual Modulation Considering Eye Fixations Made on a Bistable Logo. [PDF]
Rodríguez-Martínez G +1 more
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Health Communication Campaign Performance During the HEALing Communities Study: Cross-Sectional Examination of Digital Advertising Methods. [PDF]
Lewis N +15 more
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Digital image quality evaluation based on multi-scale aesthetic features and graph convolutional neural networks. [PDF]
Wu J, Li D.
europepmc +1 more source
GRAPHIC COMMUNICATION AND MYSTERIOUS WORLD OF VISUAL COMMUNICATION
openaire +1 more source
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Visual Identity, Social Branding, and Advocacy: Development of the PEN-Plus Logo for Severe Non-Communicable Disease Care in Nepal. [PDF]
Khatri D +7 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Editorial: Revolutionizing dentistry: the impact of AI and new algorithms on diagnostics, treatment, and patient engagement. [PDF]
Fernandes GVO, Fernandes JCH.
europepmc +1 more source

