Machine Learning Dramatically Streamlines Search for More Efficient Chemical Reactions
Monday, April 24, 2017 - 12:41
in Physics & Chemistry
A catalytic reaction may follow thousands of possible paths, and it can take years to identify which one it actually takes so scientists can tweak it and make it more efficient. Now researchers at the Department of Energy's SLAC National Accelerator Laboratory and Stanford University have taken a big step toward cutting through this thicket of possibilities.