Article Correctness Is Author's Responsibility: Machine learning speeds up simulations in material science

(Karlsruher Institut für Technologie (KIT) ) Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence autonomously acquires and applies new knowledge, will soon enable researchers to develop complex material systems in a purely virtual environment. How does this work, which applications will benefit? In an article published in Nature Materials, researchers from Karlsruhe Institute of Technology, Göttingen and Toronto explain it all.