Material Shaped by Light Pulses Could Lead to Energy-Efficient Supercomputing
Los Angeles CA (SPX) Oct 17, 2024
"Today's supercomputers and data centers demand many megawatts of power," said Haidan Wen, a physicist at the U.S. Department of Energy (DOE) Argonne National Laboratory. "One challenge is to find materials for more energy-efficient microelectronics. A promising candidate is a ferroelectric material that can be used for artificial neural networks as a component in energy-efficient microelectroni
"Today's supercomputers and data centers demand many megawatts of power," said Haidan Wen, a physicist at the U.S. Department of Energy (DOE) Argonne National Laboratory. "One challenge is to find materials for more energy-efficient microelectronics. A promising candidate is a ferroelectric material that can be used for artificial neural networks as a component in energy-efficient microelectroni