Stanford researchers in the Fan Lab have developed a method that dramatically accelerates and optimizes metamaterial design with little computational resource and time using generative neural networks.
Stanford researchers in the Fan Lab have developed a photonic device optimizer that generates designs with hard geometric constraints to guarantee device fabricability.
Stanford researchers have developed a time efficient and safer algorithm for autonomous cars that combines game theory and risk awareness. This algorithm computes approximate feedback Nash equilibria where all agents are risk aware, a novel approach.
Stanford researchers have developed a technique to interpret contact events between a human and a device equipped with a force sensor. It can detect and classify distinct touch interactions such as tap, touch, grab, and slip.
The Dai lab has developed an ionic liquid (IL) electrolyte for lithium metal batteries that eliminates electrolyte flammability concerns without sacrificing performance.
Stanford researchers at the Camarillo Lab have developed a neural-network based model that can provide real-time calculation of brain strain based on instrumented mouthguard kinematics signals.
Researchers at Stanford have developed a distributed digital "black box" audit trail design for connected and automated vehicle data and software assurance.
Researchers at Stanford University have designed a scalable photonic quantum computer which does not require single-photon detectors and which uses minimal quantum resources: one coherently controlled atom.
Stanford researchers have shown how to use fluorescent and phosphorescent materials to provide plants with photons in the photosynthetically active radiation (PAR) range for increased crop yields and CO2 fixation.
Researchers from the Bent group have identified a new precursor and small molecule inhibitor combination for Al2O3 area-selective atomic layer deposition (ALD).
Volumetric contrast-enhanced ultrasound is a new approach to collect 3D imaging data of a contrast signal. So far, analysis of 3D contrast ultrasound has relied on averaging a set of voxels embedded in an ROI or a VOI.