Investigators: John Dagdelen, Kristin Persson, Gerbrand Ceder, Amalie Trewartha
Affiliation: Lawrence Berkeley National Laboratory
A C3.ai Digital Transformation Institute project
A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) – scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes – have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.
This project is text miningCOVID-19 publications for new scientific insights using unsupervised textual analysis described in the Nature paper, “Unsupervised word embeddings capture latent knowledge from materials science literature.” All the project's infrastructure is running at NERSC.
About NERSC and Berkeley Lab
The National Energy Research Scientific Computing Center (NERSC) is a U.S. Department of Energy Office of Science User Facility that serves as the primary high-performance computing center for scientific research sponsored by the Office of Science. Located at Lawrence Berkeley National Laboratory, the NERSC Center serves more than 7,000 scientists at national laboratories and universities researching a wide range of problems in combustion, climate modeling, fusion energy, materials science, physics, chemistry, computational biology, and other disciplines. Berkeley Lab is a DOE national laboratory located in Berkeley, California. It conducts unclassified scientific research and is managed by the University of California for the U.S. Department of Energy. »Learn more about computing sciences at Berkeley Lab.