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Stanford engineers have developed an optical modulator to enable low-cost and high spatial-resolution time-of-flight imaging and LiDAR with low-cost standard image sensors.

Stanford researchers in the Heilshorn lab have developed injectable, cell-compatible hydrogels with tunable release of therapeutic cargo.

Stanford researchers in the WE3 and S3 Labs developed a cloud-based computation and predictive control platform for wastewater treatment facilities energy storage and energy generation. Wastewater treatment is energy and cost intensive.

Dr. Curt Scharfe and colleagues have developed RUSPseq, a method for next generation molecular testing originally conceived to diagnose metabolic disorders in newborns.

Researchers at Stanford have developed an imitation learning method, IQ-Learn, shown to surpass existing methods in some applications.

Stanford researchers have developed a self-affirmation web application to improve students' mental wellbeing.

Researchers at Stanford have developed a cloud-based behind-the-meter (BTM) system that can cut energy costs and reduce reliance on the grid close to 93% respectively.

During post-silicon validation and debug, manufactured integrated circuits (ICs) are tested in actual system environments to detect and fix design flaws (bugs). Existing techniques are costly due to ad hoc, manual methods.

The Foundational QED embodies a set of source code files for performing the basic EDDI, CFCSS, and CFTSS QED transformations for creating tests with extremely short error detection latencies and high error detection coverage.

Stanford researchers in The Tang Group have developed a reproducible, high throughput device that dices tissue into uniformly sized sub-millimeter sample fragments.

Stanford inventors have discovered that applying a hydrogel containing an inhibitor of mechanotransduction pathways on top of a skin graft reduces scarring and promotes healing after repair of traumatic injuries like severe burn wounds.

A common hurdle for many drug delivery applications is getting the desired compounds to the targeted cells or receptors. Additional barriers of achieving the therapeutic drug concentration and necessary drug diffusion are also present even after successful targeted delivery.

Researchers at Stanford have developed an approach to dramatically improve the efficiency of microwave-to-optical quantum transduction – a significant step towards realizing efficient communication between distant superconducting quantum systems.

Despite their compact form factor and low power consumption, resonant scanners have not been widely applied to LiDAR due to their scanning trajectory.

Researchers at Stanford have developed a low-power phase-change memory (PCM) technology with interfacial thermoelectric heating enhancement.