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A Cornell-led collaboration received a $3 million grant from the U.S. Department of Energy to use machine learning to accelerate the creation of low-cost materials for solar energy.
Energy Dept. Awards $22.7 Million for Basic Solar Energy Research
solar energy renewable energy
2007/5/24
May 22, 2007，WASHINGTON, DC–The U.S. Department of Energy (DOE) today announced $22.7 million in basic research projects aimed at improving the capture, conversion and use of solar energy. The researc...
ARGONNE, Ill. (May 8, 2007) — Helping the world meet increasing energy needs through solar energy will be the goal of a new research center established by the U.S.Department of Energy’s Argonne Nation...
Solar energy conversion offers a solution to help mitigate global warming
Solar energy global warming greenhouse gases
2007/3/7
ARGONNE, Ill. (Mar. 6, 2007)，Solar energy has the power to reduce greenhouse gases and provide increased energy efficiency, says a scientist at the U.S. Department of Energy's Argonne National Laborat...
December 7, 2006，Chemistry's role in bridging the gap between solar energy's limited present use and enormous future potential was the topic of a recent article by MIT Professor Daniel G. Nocera and a...