Researchers in Prof. Ronald K. Hanson's laboratory have developed a non-intrusive gas sensor designed for high performance temperature and species concentration measurements in high pressure, particulate laden environments.
Researchers in the Khuri-Yakub laboratory have developed patented two dimensional (2D) capacitive micromachined ultrasonic transducer (CMUT) arrays and methods for fabricating them with direct wafer bonding.
Stanford researchers have developed two related inventions which advance the state-of-the-art of CMUT's (capacitive micromachined ultrasonic transducers).
Stanford inventors have developed a deep learning framework that is able to label individual points from 3D Point Clouds that are acquired by various sensors (RGBD sensors, LIDAR sensors, etc.). This framework obtains a point-level fine-grained labeling of 3D Scenes.
Stanford researchers at the Dahl Lab have developed a method to reduce artifacts in ultrasound image reconstruction using a trained convolutional neural network (CNN).
Summary: Stanford researchers at the Melosh Lab have proposed a non-invasive, high electrode density, high resolution (100 micrometers to 10 nanometers) neural device implantation for electrical stimulation of neural/biological tissues.
Researchers in Prof. Amin Arbabian's laboratory have developed a modular RF-Ultrasound architecture to download data, upload data or wirelessly charge devices implanted deep in the body.
Stanford researchers at the Cui Lab have designed a self-aligned hybrid metal-dielectric surface that offers unparalleled performance in applications where both a transparent contact and a photon management texture are needed.
Stanford researchers have invented a fully water-soluble, orange hydrazine sensor that can robustly quantify the toxin hydrazine in liquids such as drinking water, waste water (treated and untreated), and bodily fluids.
Stanford researchers have discovered a novel method of doping nanowires (NW) and thin films (TF) that greatly improves surface area and performance. The sol-flame method is a fast, simple and low cost way to introduce dopants into NW and TF for a wide variety of applications.
Stanford researchers have demonstrated a new passive cavitation mapping algorithm based on sound localization of multiple scatters of cavitation. It shows improved resolution as compared to existing passive cavitation mapping algorithms based on a basic beamforming.
Stanford researchers have patented the use of a coherent frequency-domain technique in microwave thermoacoustic imaging, which significantly improves signal-to-noise ratio (SNR) and reduces peak-power requirements without sacrificing resolution or other performance metrics.
Stanford researchers at the Bao Lab have designed and fabricated a highly stretchable, tough, and self-healable material with high fatigue resistance applicable for electronic (e-) skin devices.