Prabhu Ramachandran

Comput. Phys. Commun., 2022

Identifying second order accurate boundary conditions for WCSPH.

[BibT_eX]

[DOI]

CoRR, 2022

Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs.

[BibT_eX]

[DOI]

Amuthan A. Ramabathiran

CoRR, 2022

2021

PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., 2021

SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs.

[BibT_eX]

[DOI]

Amuthan A. Ramabathiran

J. Comput. Phys., 2021

Scientific Computing With Python on High-Performance Heterogeneous Systems.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2021

Algorithms for uniform particle initialization in domains with complex boundaries.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2021

How to train your solver: A method of manufactured solutions for weakly-compressible SPH.

[BibT_eX]

[DOI]

CoRR, 2021

Numerical Investigation of Accuracy, Convergence, and Conservation of Weakly-Compressible SPH.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH.

[BibT_eX]

[DOI]

CoRR, 2021

SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs.

[BibT_eX]

[DOI]

Amuthan A. Ramabathiran

CoRR, 2021

2020

An efficient, open source, iterative ISPH scheme.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2020

Compyle: a Python package for parallel computing.

[BibT_eX]

[DOI]

Aditya Bhosale

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2019

An improved particle packing algorithm for complex geometries in SPH.

[BibT_eX]

[DOI]

CoRR, 2019

Simple Iterative Incompressible Smoothed Particle Hydrodynamics.

[BibT_eX]

[DOI]

CoRR, 2019

2018

automan: A Python-Based Automation Framework for Numerical Computing.

[BibT_eX]

[DOI]

Comput. Sci. Eng., 2018

Yaksh: Facilitating Learning by Doing.

[BibT_eX]

[DOI]

Proceedings of the 17th Python in Science Conference 2018 (SciPy 2018), Austin, Texas, July 9, 2018

2017

Automan: a simple, Python-based, automation framework for numerical computing.

[BibT_eX]

[DOI]

CoRR, 2017

2016

PySPH: a reproducible and high-performance framework for smoothed particle hydrodynamics.

[BibT_eX]

[DOI]

Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

Spreading the Adoption of Python in India: the FOSSEE Python Project.

[BibT_eX]

[DOI]

Proceedings of the 15th Python in Science Conference 2016 (SciPy 2016), Austin, Texas, July 11, 2016

2014

Approximate Riemann solvers for the Godunov SPH (GSPH).

[BibT_eX]

[DOI]

Kunal Puri

J. Comput. Phys., 2014

A comparison of SPH schemes for the compressible Euler equations.

[BibT_eX]

[DOI]

Kunal Puri

J. Comput. Phys., 2014

2013

SPH Entropy Errors and the Pressure Blip.

[BibT_eX]

[DOI]

Kunal Puri

CoRR, 2013

2011

Mayavi: 3D Visualization of Scientific Data.

[BibT_eX]

[DOI]

Gaël Varoquaux

Comput. Sci. Eng., 2011

2010

Mayavi: a package for 3D visualization of scientific data

[BibT_eX]

[DOI]

Gaël Varoquaux

CoRR, 2010

PySPH: A Python Framework for Smoothed Particle Hydrodynamics.

[BibT_eX]

[DOI]

Chandrashekhar Kaushik

Proceedings of the 9th Python in Science Conference 2010 (SciPy 2010), Austin, Texas, June 28, 2010

2009

An Object-Oriented Design for Two-Dimensional Vortex Particle Methods.

[BibT_eX]

[DOI]

ACM Trans. Math. Softw., 2009

2007

Efficient random walks in the presence of complex two-dimensional geometries.

[BibT_eX]

[DOI]

S. C. Rajan

Comput. Math. Appl., 2007

2005

A Fast Multipole Method for Higher Order Vortex Panels in Two Dimensions.

[BibT_eX]

[DOI]

S. C. Rajan

SIAM J. Sci. Comput., 2005

2003

A Fast, Two-Dimensional Panel Method.

[BibT_eX]

[DOI]

S. C. Rajan