Researchers from the University of Waterloo have successfully classified 191 previously unidentified astroviruses using a new machine learning-enabled classification process.
Landslides are one of the most destructive natural disasters on the planet, causing billions of dollars of damage and devastating loss of life every year. By introducing a new paradigm for studying landslide shapes and failure ...
For most human proteins, there are no small molecules known to bind them chemically (so-called "ligands"). Ligands frequently represent important starting points for drug development but this knowledge gap critically hampers ...
The return of spring in the Northern Hemisphere touches off tornado season. A tornado's twisting funnel of dust and debris seems an unmistakable sight. But that sight can be obscured to radar, the tool of meteorologists. ...
When water freezes, it transitions from a liquid phase to a solid phase, resulting in a drastic change in properties like density and volume. Phase transitions in water are so common most of us probably don't even think about ...
The Nanomaterials Modeling group of Dr. Grajciar and Dr. Heard from the Faculty of Science, Charles University develops and applies a range of computational methods to study materials with significant industrial potential ...
A team led by Prof Frank Glorius from the Institute of Organic Chemistry at the University of Münster has developed an evolutionary algorithm that identifies the structures in a molecule that are particularly relevant for ...
Scientists have developed the world's strongest iron-based superconducting magnet using AI, in what could be a breakthrough for affordable MRI machines and the future of electrified transport.
By modifying the genomes of plants and microorganisms, synthetic biologists can design biological systems that meet a specification, such as producing valuable chemical compounds, making bacteria sensitive to light, or programming ...
Scientists at the University of Warwick are using artificial intelligence (AI) to analyze cosmic explosions known as supernovae. Their paper is published in Monthly Notices of the Royal Astronomical Society.
