Results 191 to 200 of about 324,814 (307)
Applied Artificial Intelligence in Materials Science and Material Design
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
Leśniewski's terminological explanations as recursive concepts. [PDF]
John Thomas Canty
openalex +1 more source
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
Participatory research with co-researchers with lived experience of psychosis high risk states. [PDF]
Hinterbuchinger B+9 more
europepmc +1 more source
Abstract Premise Adaptation to edaphic environments is vital for plant survival. The tribe Thelypodieae (Brassicaceae) thrives in diverse edaphic conditions, including harsh serpentine soils. A robust phylogeny is essential to understanding the edaphic evolution in this tribe but is challenging to obtain due to incomplete lineage sorting, hybridization,
Kasuni C. Daundasekara+2 more
wiley +1 more source
Chronic kidney disease and the alternative labels used by GPs in Australia: a qualitative interview study. [PDF]
Guppy M, Bowles EJ, Glasziou P, Doust J.
europepmc +1 more source