Supercomputer For New Materials For Solar Cells
Researchers Of US DOE’s Argonne National Laboratory & England’s University Of Cambridge Identify 5 High-Performing, Low-Cost Dye Materials Using Theta Supercomputer, Data Science & Experimental Methods
Using computers and data mining analysis, research teams of Argonne and Cambridge were able to curb their research and result time for new light-absorbing organic dye molecules for solar power generation to a matter of few months, which otherwise would have taken them years to do with old manual curation of databases.
