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08/23/2023
On-Manifold Projected Gradient Descent
This work provides a computable, direct, and mathematically rigorous app...
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01/31/2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach
We address a three-tier data-driven approach to solve the inverse proble...
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10/07/2021
Time Series Forecasting Using Manifold Learning
We address a three-tier numerical framework based on manifold learning f...
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11/16/2020
Coarse-grained and emergent distributed parameter systems from data
We explore the derivation of distributed parameter system evolution laws...
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11/09/2020