Analytical chemistry researchers at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences (HIMS) have developed a novel algorithm that significantly improves the analysis of ...

Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

IBM's next-generation quantum computer, now online in Japan, is also connected to the supercomputer Fugaku to accelerate quantum computational power and accuracy ...

An international discovery collaboration is harnessing AI-powered drug discovery to develop a first-in-class therapy to prevent delayed cerebral ischemia in patients with subarachnoid hemorrhage. The ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

This important study introduces a Bayesian method to determine bacterial counts that accounts for the experimental noise inherent to dilution and plating methods, and distinguishes it from biological ...

Seven biotech unicorns are advancing AI-powered drug discovery and development—but must contend with a difficult investing ...

Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...