Recent Submissions

  • Physics-based machine learning and data-driven reduced-order modeling 

    Swischuk, Renee C.(Renee Copland) (Massachusetts Institute of Technology, 2019)
    This thesis considers the task of learning efficient low-dimensional models for dynamical systems. To be effective in an engineering setting, these models must be predictive -- that is, they must yield reliable predictions ...
  • Incentive design for quality investment by smallholder producers 

    Yang, Yilin,S.M.Massachusetts Institute of Technology. (Massachusetts Institute of Technology, 2019)
    The food safety problem has been challenging the traditional operating model of Chinese agricultural supply chain. In the recent decades, more and more agribusinesses and cooperatives in China have adopted contract farming ...
  • Learning symmetry-preserving interatomic force fields for atomistic simulations 

    Batzner, Simon Lutz. (Massachusetts Institute of Technology, 2019)
    Machine-Learning Interatomic Force-Fields have shown great promise in increasing time- and length-scales in atomistic simulations while retaining the high accuracy of the reference calculations that they are trained on. ...

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