PI: Prof. William Dictel
A sustainable, high-performance adsorbent made from a corn starch derivative that outperforms conventional materials in PFAS capture. Engineered for selective targeting, the material efficiently binds PFAS, resists salt interference, and is low-cost, eco-friendly, and reusable.
PI: Prof. David Dunand
Enables single-step CO₂ capture and conversion to CO using engineered iron alloy powders that resist clumping and deactivating. The fully electric, low-cost process features decoupled capture and regeneration cycles, allowing operation when electricity is cheapest.
PI: Prof. Alessandro Rotta Loria
Inspired by marine life, our patented technology uses gentle electrical currents to turn loose sand into rock-like material, addressing the global challenge of coastal erosion. This bioinspired method offers a sustainable, low-cost, and scalable way to strengthen coastlines without chemicals or heavy construction.
PI: Prof. Mark Hersam
Delivers a low-cost, high-performance separator for lithium batteries with exceptional thermal stability and self-extinguishing properties in the EV and grid energy storage industries, enhancing safety without compromising performance.
PI: Prof. Julius Lucks
A low-cost, point-of-need test for detecting lead in drinking water. The test identifies EPA-relevant concentrations (as low as 5 ppb) and can be produced for under $5, making it affordable and easy for everyday citizens to use.
PI: Prof. Andy Geraci
Advancing levitated quantum optomechanics to deliver ultra-precise, noninvasive, and rapid measurement tools. It serves precision-critical sectors such as semiconductors, energy, aerospace, and defense.
PI: Prof. Christopher Schuh
A scalable wet-lab process to synthesize “coated sand”, a Zircon shell around sand particles, offering a low-cost, abundant alternative to natural Zircon, which is widely used in high-temperature foundry molds and ceramic applications.
PIs: Profs. Theresa Brancaccio and John Rogers
Voice Savvy- “Fitbit for the voice”- is a wearable device that tracks all vocal usage through vibration monitoring to optimize performance and avoid vocal fatigue and risks for injury.
PIs: Profs. Ping Guo and Qi Zhu
DeepV is revolutionizing manufacturing with an AI platform that gives robots 3D vision, proven safety, and rapid adaptability - advancing flexible, precise, and sustainable automation for the next era of U.S. manufacturing.
PI: Prof. Karan Ahuja
AI-powered dubbing and lip-syncing platform that enables creators, studios, and brands to instantly translate and re-voice their videos into any language, while preserving the original emotion, tone, and facial expressions.