SPARKLE: Machine Learning Platform for Rapid Organic Battery Material Discovery
TS-071386 — The Need
The search for sustainable, high-performance battery materials is hindered by reliance on finite metal-based resources and slow, trial-and-error development cycles. Organic electrode materials (OEMs), composed of earth-abundant elements, offer a more sustainable path but present challenges …
- College: College of Engineering (COE)
- Inventors: Paulson, Joel; Muthyala, Madhav; Park, Jay; Sorourifar, Farshud; Zhang, Shiyu
- Licensing Officer: Mess, David
Modular Unit for Liquid Fuel Production from Natural Gas
TS-070633 — The Need
Stranded natural gas (SNG), a by-product of crude oil extraction, is often flared due to the high cost and logistical challenges of pipeline transport. Approximately 15 tons/day of SNG is flared from one oil well. This results in significant greenhouse gas emissions and wasted energy. With …
- College: College of Engineering (COE)
- Inventors: Fan, Liang-Shih; Gun, Sudeshna; Jawdekar, Tanay; Joshi, Anuj; Kumar, Sonu; Lu, Cong-Wen; Paulson, Joel
- Licensing Officer: Ashouripashaki, Mandana
SyMANTIC – Novel Symbolic Regression to Discover Accurate Models from Data
TS-069523 — The Need
In many scientific and industrial fields, there is a critical need for interpretable and accurate models that can be derived from complex datasets. Traditional machine learning methods often produce black-box models that lack transparency and interpretability, making it difficult to unders…
- College: College of Engineering (COE)
- Inventors: Muthyala, Madhav Reddy; Paulson, Joel; Sorourifar, Farshud
- Licensing Officer: Randhawa, Davinder