Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

Conducting polymers have emerged as a pivotal class of materials for advanced optoelectronic applications owing to their tunable molecular structure, ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

Managing real-time data is crucial for technologies that help computers learn and make decisions, a field known as machine learning. In simple terms, machine learning teaches computers to find ...