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DEEP Phaser: AI Powered Automation for NMR Phase Correction

TS-073932 — DEEP Phaser enables fully automated, expert level phase correction to improve NMR data quality, consistency, and throughput across routine and high-volume workflows. Problem Overview Accurate phase correction is essential for reliable NMR interpretation and quantitative analysis. Despite its impo…

College: College of Arts and Sciences (ASC)
Inventors: Li, Da-Wei; Bruschweiler, Rafael
Licensing Officer: Panic, Ana

Forecast Amplifier-Triple Your Weather Ensemble Quickly and Affordably

TS-071915 — An ultra‑efficient probit‑space ensemble expansion approach triples the size of weather‑forecast ensembles by producing hundreds of realistic “virtual” members from existing runs using minimal compute time and expert statistical knowledge.

Modern weather models are extremely complex, and each forecast can only be simulated a limited number of times. This means forecasters often have just 50–100 versions of a prediction to work with, even though the atmosphere itself is vastly more complicated. With so few samples, important de…

College: College of Arts and Sciences (ASC)
Inventors: Chan, Man-Yau "Joseph"
Licensing Officer: Panic, Ana

Precision Soil Health: The Key to Sustainable, High-Yield Farming

TS-070310 — An integrated soil health assessment and management platform that empowers growers to boost yields and sustainability through data-driven decisions.

Soil health is the cornerstone of sustainable agriculture, yet traditional management often overlooks the complex interactions that drive crop performance and environmental outcomes. Many growers struggle to optimize yields and reduce input costs due to limited, fragmented soil data. This techno…

College: College of Food, Agricultural, and Environmental Sciences (CFAES)
Inventors: Dick, Richard; Renz, Peter
Licensing Officer: Panic, Ana