Solvents made from renewable feedstocks help reduce reliance on fossil-fuel-based materials -- Drop-in replacements preserve established chromatography performance -- Supports progress toward ...

Merck recently launched a line-up of patent-pending bio-based solvents for HPLC. Made from renewable feedstocks, these ...

Have you ever wished to drive microscopic matter along an arbitrarily tailored trajectory instead of just a circle? That's ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

In this course, you’ll learn theoretical foundations of optimization methods used for training deep machine learning models. Why does gradient descent work? Specifically, what can we guarantee about ...

The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

A novel study has revealed a link between extreme weather and the risk of cardiovascular disease among middle-aged and older ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep ...