Results 291 to 300 of about 21,934,771 (354)

Applied Artificial Intelligence in Materials Science and Material Design

open access: yesAdvanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel   +7 more
wiley   +1 more source

Riboflavin transporter deficiency, the search for the undiagnosed: a retrospective data mining study. [PDF]

open access: yesOrphanet J Rare Dis
Jaeger B   +5 more
europepmc   +1 more source

An Eyeball‐Movement‐Inspired Multi‐DOF Miniature Piezoelectric Actuator with Strong Load‐Driving Capability

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by the eye movements of humans, a multi‐degree‐of‐freedom (multi‐DOF) miniature piezoelectric actuator with a square‐circular ring structure is proposed. The actuator demonstrates a well‐balanced performance in miniaturization, operational efficiency, actuation precision, and load‐driving capability.
Binbin Zhu, Yan Qing Wang
wiley   +1 more source

ChatMolData: A Multimodal Agent for Automatic Molecular Data Processing

open access: yesAdvanced Intelligent Systems, EarlyView.
While large language models (LLMs) struggle with molecular data due to single‐modality limitations, ChatMolData—a multimodal agent for processing databases, images, structure files, and documents—is presented. It combines LLMs with tools for retrieval, structuring, prediction, visualization, and search, achieving > 90% accuracy across 128 tasks.
Yi Yu   +5 more
wiley   +1 more source

Analyzing Patterns in Anesthesiology Residents' Exam Performance Using Data Mining Techniques. [PDF]

open access: yesAnesth Pain Med
Karimian M   +6 more
europepmc   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

open access: yesAdvanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy