Sort by
Refine Your Search
-
-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
-
organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning and artificial intelligence methods, targeted validation
-
. Understanding these processes requires the integration of detailed site‑level observations with large‑scale data synthesis. Our project combines both approaches to reveal how short‑term climatic extremes alter
-
mechanisms underlying metabolic dysfunction during aging using cutting-edge approaches in immunology, metabolomics, transcriptomics, and tissue histology. The project will combine molecular biology