Now showing items 97-99 of 55794

    • 𝑘-Variance: A Clustered Notion of Variance 

      Solomon, Justin; Greenewald, Kristjan; Nagaraja, Haikady (Society for Industrial & Applied Mathematics (SIAM), 2022-09)
      We introduce 𝑘-variance, a generalization of variance built on the machinery of random bipartite matchings. 𝑘-variance measures the expected cost of matching two sets of 𝑘 samples from a distribution to each other, ...
    • Data-Driven Screening and Discovery of Metal–Organic Frameworks as C2 Adsorbents from over 900 Experimental Isotherms 

      Rivera, Matthew P; Terrones, Gianmarco G; Lee, Tae Hoon; Smith, Zachary P; Kulik, Heather J (American Chemical Society, 2024-11-27)
      The separation of ethylene from ethane accounts for almost 100 million tons of CO2 emissions annually and 0.3% of global primary energy usage. Replacing current cryogenic distillation units with adsorption separation units, ...
    • Wide-Band Butterfly Network: Stable and Efficient Inversion Via Multi-Frequency Neural Networks 

      Li, Matthew; Demanet, Laurent; Zepeda-Núñez, Leonardo (Society for Industrial & Applied Mathematics (SIAM), 2022-12-31)
      We introduce an end-to-end deep learning architecture called the wide-band butterfly network (WideBNet) for approximating the inverse scattering map from wide-band scattering data. This architecture incorporates tools from ...