A form of brain-inspired computing that exploits the intrinsic physical properties of a material to dramatically reduce energy use is now a step closer to reality.
It can take years of focused laboratory work to determine how to make the highest quality materials for use in electronic and photonic devices. Researchers have now developed an autonomous system that can identify how to synthesize 'best-in-class' materials for specific applications in hours or days.
Researchers have demonstrated a modular fabrication strategy for MOF-based membranes that overcomes previous challenges and provides tunable, defect-free molecular sieving.
Researchers show that a previously demonstrated ability to turn on superconductivity with a laser beam can be integrated on a chip, opening up a route toward opto-electronic applications.
Researchers systematically evaluated common techniques for quantifying protein encapsulation in MOFs, finding striking variability and dependence on the method used.
