New AI method captures longrange atomic interactions in complex molecules
Apr 20, 2026
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 to be represented more efficiently. This could allow chemical and ma
terials science processes to be simulated more accurately in the future, potentially accelerating the development of new drugs, more efficient batteries, and more sustainable materials. ...read more read less