Day: July 27, 2020

Making materials with machine learning

Singapore scientists move synthesis from the lab to the computer Materials discovery and synthesis has long been an expensive pursuit, thanks to its reliance on multiple trail-and-error experiments, costly reagents and energy-intensive manufacturing routes. Even with computational tools like density functional theory, development cycles are slow and inefficient....