Explore Stanford technologies available for licensing:

Stanford researchers have patented a fabrication process to achieve highly-selective growth on silicon substrates with no sidewall growth.

Stanford researchers have patented a fabrication process for monolithic integration of different epitaxial materials on the same substrate for improved coupling of optoelectronic devices.

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.

Researchers in the Collaborative Haptics and Robotics in Medicine Lab at Stanford University have patented a haptic device that simulates a stroking sensation.

Stanford researchers have developed a nanostructured rechargeable battery consisting of a lithium sulfur based cathode and a silicon nanowire anode.

A team of Stanford engineers has developed an efficient battery that can convert salinity gradient power (a.k.a. “blue energy”) into electricity using low-cost, non-toxic electrode materials.

Engineers in Prof. Fritz Prinz's laboratory have developed a low cost, scalable method to fabricate anti-reflective, highly conductive metal silicide nanowires electrodes for photovoltaic cells.

Stanford researchers at the Dahl Lab have developed a method to reduce artifacts in ultrasound image reconstruction using a trained convolutional neural network (CNN).

Engineers in Prof. Yi Cui's laboratory have developed a stretchable, stable, high energy density anode to be used in lithium ion batteries that power stretchable electronic devices (e.g., wearable electronics, bendable phones or flexible displays).

Stanford researchers in the SHAPE lab have patented a virtual reality, haptic device called 'Grabity' that simulates weight, stiffness, and torque.

Stanford researchers patented a method to design, computationally optimize and fabricate efficient optical devices using semiconducting and dielectric nanostructures.

Researchers in Profs. Jonathan Fan and Jim Plummer's laboratory have patented a generalized, CMOS-compatible process to fabricate single crystal metal components on amorphous insulator substrates.

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.

These light trapping solar cell structures increase optical absorption and carrier collection, improving efficiency by 24%, while significantly reducing the solar cell active layer thickness and thus lowering cost.

This invention, the “Charge Cloud Tracker” is a fast, low-cost, strip geometry x-ray detector that is predicted to provide limiting resolution on the order of 5 microns, with very high x-ray detection efficiency.