Researchers from Google DeepMind in Berlin, BIFOLD, and the Technical University of Berlin have introduced a new machine learning method—Euclidean Fast Attention (EFA)—that enables global atomic interactions in chemical systems ...
Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials respond to electric fields ...
The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species such as trout, red snapper, and grouper. Recreational fishing represents a significant—yet historically ...
Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one of the nature-based and cost-effective solutions for climate change mitigation because it offsets ...
Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in fusion reactors, but the ultra-high heat can damage its microscopic structure and lead to component ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to detect sudden changes in fluid behavior, improving speed and the cost of identifying these instabilities ...
Researchers at the Massachusetts Institute of Technology (MIT) have discovered thousands of new proteins that protect bacteria from virus attacks using an AI system called DefensePredictor. What would usually take months ...
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular simulations for unprecedented lengths of time, even at temperatures as high as 1,000 Kelvin. The study, ...
Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if artificial intelligence could make them faster, smarter and more accurate? New research from the University ...
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, can be a slow, expensive process, often relying on years of trial-and-error or massive computational ...
