36 citations · 74 across the 5 of their papers we have counts for
5 papers
GRINN: A Physics-Informed Neural Network for solving hydrodynamic systems in the presence of self-gravity
Sayantan Auddy, Ramit Dey, Neal J. Turner +1
Modeling self-gravitating gas flows is essential to answering many fundamental questions in astrophysics. This spans many topics including planet-forming disks, star-forming clouds…
Predicting Stellar Mass Accretion: An Optimized Echo State Network Approach in Time Series Modeling
Gianfranco Bino, Shantanu Basu, Ramit Dey +3
Modeling the dynamics of the formation and evolution of protostellar disks as well as the history of stellar mass accretion typically involve the numerical solution of complex syst…
The Magnetic Field versus Density relation in Star-Forming Molecular Clouds
Sayantan Auddy, Shantanu Basu, Takahiro Kudoh
We study the magnetic field to density () relation in turbulent molecular clouds with dynamically important magnetic fields using nonideal three-dimensional magnetohydrodynami…
A Magnetic Ribbon Model for Star-Forming Filaments
Sayantan Auddy, Shantanu Basu, Takahiro Kudoh
We develop a magnetic ribbon model for molecular cloud filaments. These result from turbulent compression in a molecular cloud in which the background magnetic field sets a preferr…
Analytic Models of Brown Dwarfs and The Substellar Mass Limit
Sayantan Auddy, Shantanu Basu, S. R. Valluri
We present the current status of the analytic theory of brown dwarf evolution and the lower mass limit of the hydrogen burning main sequence stars. In the spirit of a simplified an…