Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

Proteins spontaneously fold into intricate three-dimensional shapes which are key to nearly every biological process. But the complexity of protein shapes makes them difficult to study. Recently, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

A recent study published in Nature Materials examined how machine learning is used to reveal the atomic mechanisms of argyrodites, which could open the doors for a new age of energy storage. This is ...

A new machine-learning approach assesses the accuracy of structural models of RNA molecules. From a training set of known RNA structures, the algorithm learns the characteristic features of RNA, such ...

Biologists have developed a computer modeling technique that lets them use cryo-electron microscopy to identify multiple possible structures that a protein can take. Cryo-electron microscopy (cryo-EM) ...

Feb. 4 (UPI) --To study biological molecules like proteins, scientists rely on cryo-electron microscopy. The 3D-imaging technology is ideal for studying proteins that exist in only a single structural ...

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 ...

Chemical engineers have developed a machine-learning model that can predict a compound's oxidation state, a property that is so essential that many chemists argue it must be included in the periodic ...