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Prabhu Ramachandran
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2020 – today
- 2022
- [j14]Asmelash Haftu
, Abhinav Muta
, Prabhu Ramachandran:
Parallel adaptive weakly-compressible SPH for complex moving geometries. Comput. Phys. Commun. 277: 108377 (2022) - [i12]Amuthan A. Ramabathiran, Prabhu Ramachandran:
Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs. CoRR abs/2207.00377 (2022) - [i11]Pawan Negi
, Prabhu Ramachandran:
Identifying second order accurate boundary conditions for WCSPH. CoRR abs/2208.10848 (2022) - 2021
- [j13]Pawan Negi
, Prabhu Ramachandran
:
Algorithms for uniform particle initialization in domains with complex boundaries. Comput. Phys. Commun. 265: 108008 (2021) - [j12]Lorena A. Barba
, Andreas Klöckner, Prabhu Ramachandran
, Rollin C. Thomas
:
Scientific Computing With Python on High-Performance Heterogeneous Systems. Comput. Sci. Eng. 23(4): 5-7 (2021) - [j11]Amuthan A. Ramabathiran
, Prabhu Ramachandran
:
SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs. J. Comput. Phys. 445: 110600 (2021) - [j10]Prabhu Ramachandran, Aditya Bhosale
, Kunal Puri, Pawan Negi
, Abhinav Muta
, A. Dinesh, Dileep Menon, Rahul Govind
, Suraj Sanka, Amal S. Sebastian, Ananyo Sen, Rohan Kaushik, Anshuman Kumar, Vikas Kurapati, Mrinalgouda Patil, Deep Tavker, Pankaj Pandey, Chandrashekhar Kaushik, Arkopal Dutt, Arpit Agarwal:
PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics. ACM Trans. Math. Softw. 47(4): 34:1-34:38 (2021) - [i10]Amuthan A. Ramabathiran, Prabhu Ramachandran:
SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs. CoRR abs/2102.13037 (2021) - [i9]Abhinav Muta, Prabhu Ramachandran:
Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH. CoRR abs/2107.01276 (2021) - [i8]Pawan Negi, Prabhu Ramachandran:
Numerical Investigation of Accuracy, Convergence, and Conservation of Weakly-Compressible SPH. CoRR abs/2107.11859 (2021) - [i7]Pawan Negi, Prabhu Ramachandran:
How to train your solver: A method of manufactured solutions for weakly-compressible SPH. CoRR abs/2109.09697 (2021) - 2020
- [j9]Abhinav Muta
, Prabhu Ramachandran
, Pawan Negi
:
An efficient, open source, iterative ISPH scheme. Comput. Phys. Commun. 255: 107283 (2020) - [c5]Aditya Bhosale
, Prabhu Ramachandran
:
Compyle: a Python package for parallel computing. SciPy 2020: 32-39
2010 – 2019
- 2019
- [i6]Abhinav Muta, Prabhu Ramachandran, Pawan Negi:
Simple Iterative Incompressible Smoothed Particle Hydrodynamics. CoRR abs/1908.01762 (2019) - [i5]Prabhu Ramachandran, Kunal Puri, Aditya Bhosale, A. Dinesh, Abhinav Muta, Pawan Negi, Rahul Govind, Suraj Sanka, Pankaj Pandey, Chandrashekhar Kaushik, Anshuman Kumar, Ananyo Sen, Rohan Kaushik, Mrinalgouda Patil, Deep Tavker, Dileep Menon, Vikas Kurapati, Amal S. Sebastian, Arkopal Dutt, Arpit Agarwal:
PySPH: a Python-based framework for smoothed particle hydrodynamics. CoRR abs/1909.04504 (2019) - [i4]Pawan Negi, Prabhu Ramachandran:
An improved particle packing algorithm for complex geometries in SPH. CoRR abs/1910.07898 (2019) - 2018
- [j8]Prabhu Ramachandran
:
automan: A Python-Based Automation Framework for Numerical Computing. Comput. Sci. Eng. 20(5): 81-97 (2018) - [c4]Prabhu Ramachandran, Prathamesh Salunke, Ankit Javalkar, Aditya Palaparthy, Mahesh Gudi, Hardik Ghaghada:
Yaksh: Facilitating Learning by Doing. SciPy 2018: 160- - 2017
- [i3]Prabhu Ramachandran:
Automan: a simple, Python-based, automation framework for numerical computing. CoRR abs/1712.04786 (2017) - 2016
- [c3]Prabhu Ramachandran:
Spreading the Adoption of Python in India: the FOSSEE Python Project. SciPy 2016: 114-121 - [c2]Prabhu Ramachandran:
PySPH: a reproducible and high-performance framework for smoothed particle hydrodynamics. SciPy 2016: 122-129 - 2014
- [j7]Kunal Puri, Prabhu Ramachandran
:
A comparison of SPH schemes for the compressible Euler equations. J. Comput. Phys. 256: 308-333 (2014) - [j6]Kunal Puri, Prabhu Ramachandran
:
Approximate Riemann solvers for the Godunov SPH (GSPH). J. Comput. Phys. 270: 432-458 (2014) - 2013
- [i2]Kunal Puri, Prabhu Ramachandran:
SPH Entropy Errors and the Pressure Blip. CoRR abs/1311.2167 (2013) - 2011
- [j5]Prabhu Ramachandran
, Gaël Varoquaux
:
Mayavi: 3D Visualization of Scientific Data. Comput. Sci. Eng. 13(2): 40-51 (2011) - 2010
- [c1]Prabhu Ramachandran, Chandrashekhar Kaushik:
PySPH: A Python Framework for Smoothed Particle Hydrodynamics. SciPy 2010: 80-84 - [i1]Prabhu Ramachandran, Gaël Varoquaux:
Mayavi: a package for 3D visualization of scientific data. CoRR abs/1010.4891 (2010)
2000 – 2009
- 2009
- [j4]Prabhu Ramachandran
, M. Ramakrishna:
An Object-Oriented Design for Two-Dimensional Vortex Particle Methods. ACM Trans. Math. Softw. 36(4): 18:1-18:28 (2009) - 2007
- [j3]Prabhu Ramachandran
, M. Ramakrishna, S. C. Rajan:
Efficient random walks in the presence of complex two-dimensional geometries. Comput. Math. Appl. 53(2): 329-344 (2007) - 2005
- [j2]Prabhu Ramachandran
, S. C. Rajan, M. Ramakrishna:
A Fast Multipole Method for Higher Order Vortex Panels in Two Dimensions. SIAM J. Sci. Comput. 26(5): 1620-1642 (2005) - 2003
- [j1]Prabhu Ramachandran
, S. C. Rajan, M. Ramakrishna:
A Fast, Two-Dimensional Panel Method. SIAM J. Sci. Comput. 24(6): 1864-1878 (2003)
Coauthor Index
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