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

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

MIT researchers have developed a new theoretical framework for studying the mechanisms of treatment interactions. Their ...

Model for predicting molecular crystal properties is readily adaptable to specific tasks, even with limited data ...

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

Pure metals like aluminum or titanium don't always have the desired material properties - strength, hardness, ductility or ...

Blood glucose monitoring is crucial for controlling diabetes. However, traditional fingertip pricking methods usually cause discomfort to patients and cannot achieve continuous monitoring. To overcome ...

Understanding human decision-making has been a central goal in psychology for decades. Researchers have long sought to design ...

Researchers at Tohoku University have uncovered key principles that could advance sustainable ammonia production by ...

Researchers have developed a new AI model that can simulate the behavior of billions of atoms simultaneously, opening up new ...