Research
Published Papers
B. Liu, E. Ocegueda, M. Trautner, A. M. Stuart, and K. Bhattacharya. "Learning Macroscopic Internal Variables and History Dependence from Microscopic Models." Journal of the Mechanics and Physics of Solids. 2023.
*K. Bhattacharya, B. Liu, A. Stuart, and M. Trautner. "Learning Homogenized Markovian Models in Viscoelasticity." SIAM Multiscale Modeling & Simulation. 2023.
*denotes alphabetical order
Conference Papers
M. Trautner, G. Margolis, and S. Ravela, "Informative Neural Ensemble Kalman Learning." DDDAS-2020. (arxiv)
Preprints
*K. Bhattacharya, N. Kovachki, A. Rajan, A. M. Stuart, and M. Trautner. "Learning Homogenization for Elliptic Operators." 2023. (arxiv)
*denotes alphabetical order
Awards
Thomas A. Tisch Prize for Graduate Teaching in Mathematics (Caltech, 2022)
Rhodes Scholarship Finalist (2020)
NCAA Elite 90 Award for highest GPA and credit-hours among national track championship qualifiers (2019)
MathWorks Math Modeling Challenge National Champion (2016)