The current class of early-career honorees applies machine-learning tools to science problems.
Berkeley researcher calculates molecules’ electronic structures, hoping to hasten development of new materials, designer drugs and other applications.
An Argonne National Laboratory computer scientist finds efficiencies for extracting knowledge from a data explosion.
A Sandia researcher applies his DOE early-career award to improving predictive reliability in high-performance computing.
ESnet’s DOE early-career awardee works to overcome roadblocks in computational networks.
A Purdue University professor is using a DOE early-career award to bridge gaps in high-performance computing languages.
A University of Washington DOE early-career-awardee, with techniques called verified lifting and stencil programming, aims to boost speeds in climate models and other HPC simulations.