Stanford Institute for Materials & Energy Science (SIMES)
SLAC study of tiny nanocrystals provides new insight on the design and function of nanomaterials
Two new research projects support the Stanford Institute for Materials and Energy Sciences in the study of exotic new materials that could enable future innovative electronic and photonic applications.
Stanford and SLAC engineers observed electrons at work during catalytic reactions. Their findings challenge long-held theories about some catalysts, opening the door to new or improved renewable energy applications.
SLAC study shows the so-called ‘pseudogap’ hoards electrons that otherwise might pair up to carry current through a material with 100 percent efficiency.
A study at the Department of Energy’s SLAC National Accelerator Laboratory suggests for the first time how scientists might deliberately engineer superconductors that work at higher temperatures.
SLAC science and technology advisor Zhi-Xun Shen is among the recipients of the Moore Experimental Investigators in Quantum Materials grants, one of the top grants in quantum materials research. Another recipient, Columbia University Professor Tony Heinz, will join SLAC and Stanford in January 2015.
SIMES researcher and Stanford physics professor Shoucheng Zhang has been named a recipient of the 2015 Benjamin Franklin Medal in Physics, one of the oldest and most prestigious science awards in the United States.
Research led by SLAC and Stanford scientists has uncovered a new, unpredicted behavior in a copper oxide material that conducts electricity without any loss at relatively high temperatures.
SLAC scientists are among the researchers to receive funding to advance solar cells, batteries, renewable fuels and bioenergy.
A comprehensive look at how tiny particles in a lithium ion battery electrode behave shows that rapid-charging the battery and using it to do high-power, rapidly draining work may not be as damaging as researchers had thought – and that the benefits of slow draining and charging may have been overestimated.