Stanford Institute for Materials & Energy Sciences (SIMES)
SIMES researchers study complex, novel materials that could transform the energy landscape by making computing much more efficient or transmitting power over long distances with no loss, for instance.
An illustration shows polarons – fleeting distortions in a material’s atomic lattice ––in a promising next-generation energy material, lead hybrid perovskite.
(Greg Stewart/SLAC National Accelerator Laboratory)
A new lithium-based electrolyte invented by Stanford University scientists could pave the way for the next generation of battery-powered electric vehicles.
Discovered at SLAC and Stanford, this new class of unconventional superconductors is starting to give up its secrets – including a surprising 3D metallic...
The Hubbard model, used to understand electron behavior in numerous quantum materials, now shows us its stripes, and superconductivity too, in simulations for cuprate...
Theory suggests that quantum critical points may be analogous to black holes as places where all sorts of strange phenomena can exist in a quantum material. Now scientists are trying to pin down where this particular quantum critical point might...
Researchers have invented a way to slide atomically-thin layers of 2D materials over one another to store more data, in less space and using less energy.
A new lithium-based electrolyte invented by Stanford University scientists could pave the way for the next generation of battery-powered electric vehicles.
Turning a brittle oxide into a flexible membrane and stretching it on a tiny apparatus flipped it from a conducting to an insulating state and changed its magnetic properties. The technique can be used to study and design a broad...
Discovered at SLAC and Stanford, this new class of unconventional superconductors is starting to give up its secrets – including a surprising 3D metallic state.
The Hubbard model, used to understand electron behavior in numerous quantum materials, now shows us its stripes, and superconductivity too, in simulations for cuprate superconductors.