# of Displayed Technologies: 3 / 3


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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

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