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Modular Generative AI Framework for Efficient Molecular Discovery
TS-074599 — Discovering molecules that simultaneously satisfy multiple competing design criteria is a resource-intensive challenge across the pharmaceutical, energy, and materials industries. The enormity of chemical space makes exhaustive screening impractical, while existing AI-guided methods either restric…
  • College: College of Engineering (COE)
  • Inventors: Paulson, Joel; Muthyala, Madhav Reddy; Sorourifar, Farshud; Tan, Tianhong
  • Licensing Officer: Randhawa, Davinder

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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