Glassy discovery offers computational windfall to researchers across disciplines
Penn Engineers used a counterintuitive algorithmic strategy called “metadynamics” to find rare low-energy canyons in glassy materials. Their breakthrough suggests the algorithm may have a wide range of useful scientific applications, potentially speeding up the pace of computational protein folding and eliminating the need for large data sets in machine learning.
FULL STORY AT Penn Engineering Today →