Decoding Electronic Materials Genome

LAKE WALES Fla.—Instead of using trial-and-error, University of Connecticut are discovering new organic electronic materials using machine learning, in the spirit of President Obama’s Materials Genome Initiative and now offers their results to the public domain. The online program enables engineers to predict the electronic qualities of a particular polymer, or specify their desired electronic qualities and automatically derive a polymer that satisfied their criteria in seconds. President Obama inspects some new materials used to make more energy efficient fluorescent-like tubular light bulbs for his Materials Genome Initiative (MGI).(Source: MGI) Electronic materials do not actually have a genome—the complete set of genes for a particular organism—but as a metaphor the Materials Genome Initiative seeks to predict the properties of materials using quantum mechanics to simulate them on a computer. Using…


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