Nihar Sawant
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View article: Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference
Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference Open
Operator inference learns low-dimensional dynamical-system models with polynomial nonlinear terms from trajectories of high-dimensional physical systems (non-intrusive model reduction). This work focuses on the large class of physical syst…
View article: On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: A preliminary multiphysics computational perspective
On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: A preliminary multiphysics computational perspective Open
Supplementary material is available for this article at 10.1007/s12273-021-0774-y and is accessible for authorized users.
View article: On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: <i>A preliminary multiphysics computational perspective</i>
On COVID-19-safety ranking of seats in intercontinental commercial aircrafts: <i>A preliminary multiphysics computational perspective</i> Open
The evolution of coronavirus disease (COVID-19) into a pandemic has severely hampered the usage of public transit systems. In a post-COVID-19 world, we may see an increased reliance on autonomous cars and personal rapid transit (PRT) syste…