A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) and other institutions created a Machine Learning (ML) library for the training of classifiers on spectrographic chemical data.
Despite exponential increases in computing power over the last couple of decades, many physical processes still present unique challenges for researchers seeking to advance their fields via modeling and simulation.
Scientists at the Department of Energy’s Oak Ridge National Laboratory are examining the diverse supercomputing workflow management systems in use in the United States and around the world to help supercomputers work together more effectively and efficient