Publications & Talks

Journal Articles

2024

2024

  1. Control of flow behavior in complex fluids using automatic differentiation
    Mohammed Alhashim, Kaylie Hausknecht, and Michael Brenner
    2024

2022

2022

  1. exoplanets.jpg
    ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets
    Hamed Valizadegan, Miguel J. S. Martinho, Laurent S. Wilkens, and 10 more authors
    The Astrophysical Journal, Feb 2022
    Link

Conference Talks

2023

2023

  1. Optimizing Chaotic Mixing with Automatic Differentiation
    Kaylie Hausknecht, Mohammed Alhashim, and Michael Brenner
    In AI Institute in Dynamic Systems Conference, Jul 2023
  2. Optimizing Mixing in Porous Media via Automatic Differentiation
    Kaylie Hausknecht, Mohammed Alhashim, and Michael Brenner
    In American Physical Society Division of Fluid Dynamics, Nov 2023

2021

2021

  1. Do Black Hole–Neutron Star Mergers Contribute to the (r-Process) Enrichment in our Universe?
    Kaylie Hausknecht, and Floor Broekgaarden
    In European Astronomical Society Annual Meeting, Jun 2021
    Virtual Conference
  2. Exploring Data-driven Modeling of Boundary Layer Transition
    Meelan Choudhari, Mujeeb Malik, Pedro Paredes, and 6 more authors
    In SIAM Conference on Computational Science and Engineering, Mar 2021
  3. Machine Learning Correlates Charge Density Wave with the Local Gap in Cuprate Superconductors
    Kaylie Hausknecht, Tatiana Webb, Michael Boyer, and 6 more authors
    In American Physical Society Conference for Undergraduate Women in Physics, Jan 2021
    Virtual Conference

2020

2020

  1. Local correlations in disordered materials with neural networks
    Kaylie Hausknecht, and Jenny Hoffman
    In Machine Learning Quantum Matter Data Simons Foundation Conference, Jan 2020

2019

2019

  1. Machine Learning Correlates CDW Properties with Local Gap in Cuprates
    Kaylie Hausknecht, Tatiana Webb, Michael Boyer, and 6 more authors
    In American Physical Society March Meeting, Mar 2019

2018

2018

  1. Identifying Inhibitors of T-Cell Activation in Microgravity: Proposal for the International Space Station
    Kaylie Hausknecht
    In International Space Station R&D Conference, Jul 2018

Thesis

2022

2022

  1. Evidence for High Redshift Galaxy Mergers From JWST and Implications for Developing Priors to Improve Photometric Redshift Identification
    Kaylie Hausknecht, and Abraham Loeb
    Harvard Center for Astrophysics, Dec 2022
    Junior Thesis