Publications

Brian M. de Silva, Jared Callaham, Jonathan Jonker, Nicholas Goebel, Jennifer Klemisch, Darren McDonald, Nathan Hicks, J. Nathan Kutz, Steven L. Brunton, Aleksandr Y. Aravkin (2020). Physics-informed machine learning for sensor fault detection with flight test data. Submitted to AIAA.

Brian M. de Silva, Kathleen Champion, Markus Quade, Jean-Christophe Loiseau, J. Nathan Kutz, Steven L. Brunton (2020). PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data. Journal of Open Source Software.

PDF Code Project Video DOI

Brian M. de Silva, David M. Higdon, Steven L. Brunton, J. Nathan Kutz (2020). Discovery of Physics From Data: Universal Laws and Discrepancies. Frontiers in Artificial Intelligence.

Brian de Silva, Ryan Compton (2014). Prediction of foreign box office revenues based on wikipedia page activity. arXiv preprint arXiv:1405.5924.

Maria-Grazia Ascenzi, Xia Du, James I Harding, Emily N Beylerian, Brian M de Silva, Ben J Gross, Hannah K Kastein, Weiguang Wang, Karen M Lyons, Hayden Schaeffer (2014). Automated Cell Detection and Morphometry on Growth Plate Images of Mouse Bone. Applied mathematics.