8 citations · 13 across the 3 of their papers we have counts for
4 papers
Weak Form Scientific Machine Learning: Test Function Construction for System Identification
April Tran, David Bortz
Weak form Scientific Machine Learning (WSciML) is a recently developed framework for data-driven modeling and scientific discovery. It leverages the weak form of equation error res…
The Weak Form Is Stronger Than You Think
Daniel A. Messenger, April Tran, Vanja Dukic +1
The weak form is a ubiquitous, well-studied, and widely-utilized mathematical tool in modern computational and applied mathematics. In this work we provide a survey of both the his…
Physics-informed active learning with simultaneous weak-form latent space dynamics identification
Xiaolong He, April Tran, David M. Bortz +1
The parametric greedy latent space dynamics identification (gLaSDI) framework has demonstrated promising potential for accurate and efficient modeling of high-dimensional nonlinear…
Surface Forces on a Deforming Ellipsoid in Shear Flow
E. P. Kightley, A. Pearson, J. A. Evans +1
We present a model for computing the surface force density on a fluid ellipsoid in simple shear flow, which we derive by coupling existing models for the shape of a fluid droplet a…