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Tunable Ferrite Nanoparticles for Optimized Heating and Magnetic Performance
TS-073587 — Magnetic nanoparticles are widely used in applications such as magnetic hyperthermia, catalysis, sensing, and data storage, yet their performance is often limited by poor control over key magnetic properties. Existing materials typically rely on size or shape control alone, which provides limited …
  • College: College of Engineering (COE)
  • Inventors: Getman, Rachel; Punyapu, Rohit
  • Licensing Officer: Randhawa, Davinder

Efficient Machine Learning Prediction of Solvation Thermodynamics
TS-071267 — The Need Modeling solvent effects on catalytic surfaces is critical for designing industrial processes like biomass conversion, fuel synthesis, and electrocatalysis. Traditional multiscale simulations combining density functional theory (DFT) and molecular dynamics (MD) offer accuracy but are comp…
  • College: College of Engineering (COE)
  • Inventors: Getman, Rachel; Punyapu, Rohit; Shi, Jiexin
  • Licensing Officer: Randhawa, Davinder

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