Publications in reverse chronological order.


  1. Discovering Sparse Interpretable Dynamics from Partial Observations
    Lu, Peter Y., Ariño, Joan, and Soljačić, Marin
  2. Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems
    Kim, Samuel, Lu, Peter Y., Loh, Charlotte, Smith, Jamie, Snoek, Jasper, and Soljačić, Marin
  3. Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
    Kim, Samuel, Lu, Peter Y., Mukherjee, Srijon, Gilbert, Michael, Jing, Li, Čeperić, Vladimir, and Soljačić, Marin
    IEEE Transactions on Neural Networks and Learning Systems 2021


  1. Extracting Interpretable Physical Parameters from Spatiotemporal Systems Using Unsupervised Learning
    Lu, Peter Y., Kim, Samuel, and Soljačić, Marin
    Phys. Rev. X 2020


  1. Extraordinary optical transmission inside a waveguide: spatial mode dependence
    Reichel, Kimberly S., Lu, Peter Y., Backus, Sterling, Mendis, Rajind, and Mittleman, Daniel M.
    Opt. Express 2016


  1. Collision dynamics of particle clusters in a two-dimensional granular gas
    Burton, Justin C., Lu, Peter Y., and Nagel, Sidney R.
    Phys. Rev. E 2013
  2. Energy Loss at Propagating Jamming Fronts in Granular Gas Clusters
    Burton, Justin C., Lu, Peter Y., and Nagel, Sidney R.
    Phys. Rev. Lett. 2013