Publication Date:
2018-02-17
Description:
A new initiative in data science is using the Mira and Theta supercomputers at the US Department of Energy’s Argonne National Laboratory to discover new dye materials suitable for dye-sensitized solar cells. This project aims to develop a new material-by-design methodology by using natural language processing, machine learning, and data mining in conjunction with large-scale simulation and experiments. This synergistic computational and experimental science approach will enable the discovery of new light-absorbing dye molecules, which are needed for the development of solar-powered windows that have the potential to power buildings in an entirely energy-sustainable fashion.
Print ISSN:
1521-9615
Electronic ISSN:
1558-366X
Topics:
Computer Science
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Natural Sciences in General
,
Technology