University of Texas at Austin's Texas Advanced Computing: Engineers Apply Physics-Informed Machine Learning to Solar Cell Production
June 10, 2021
June 10, 2021
AUSTIN, Texas, June 10 (TNSJou) -- The University of Texas at Austin's Texas Advanced Computing Center issued the following news release on June 9, 2021:
Solar energy provides 2% of U.S. power. However, by 2050, renewables are predicted to be the most used energy source (surpassing petroleum and other liquids, natural gas, and coal) and solar will overtake wind as the leading source of renewable power. To reach that point, and to make solar power more affordable, solar technologies . . .
Solar energy provides 2% of U.S. power. However, by 2050, renewables are predicted to be the most used energy source (surpassing petroleum and other liquids, natural gas, and coal) and solar will overtake wind as the leading source of renewable power. To reach that point, and to make solar power more affordable, solar technologies . . .