Prabhu Ramachandran

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 21

Top Topics

Linear Computational Complexity

Spline Interpolation

Top Venues

J. Comput. Phys.

Comput. Phys. Commun.

Publications

Pawan Negi, Prabhu Ramachandran
Identifying second order accurate boundary conditions for WCSPH. CoRR (2022)
Amuthan A. Ramabathiran, Prabhu Ramachandran
Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs. CoRR (2022)
Asmelash Haftu, Abhinav Muta, Prabhu Ramachandran
Parallel adaptive weakly-compressible SPH for complex moving geometries. Comput. Phys. Commun. 277 (2022)
Amuthan A. Ramabathiran, Prabhu Ramachandran
SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs. J. Comput. Phys. 445 (2021)
Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin C. Thomas
Scientific Computing With Python on High-Performance Heterogeneous Systems. Comput. Sci. Eng. 23 (4) (2021)
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) (2021)
Pawan Negi, Prabhu Ramachandran
Algorithms for uniform particle initialization in domains with complex boundaries. Comput. Phys. Commun. 265 (2021)
Abhinav Muta, Prabhu Ramachandran
Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH. CoRR (2021)
Pawan Negi, Prabhu Ramachandran
How to train your solver: A method of manufactured solutions for weakly-compressible SPH. CoRR (2021)
Pawan Negi, Prabhu Ramachandran
Numerical Investigation of Accuracy, Convergence, and Conservation of Weakly-Compressible SPH. CoRR (2021)
Amuthan A. Ramabathiran, Prabhu Ramachandran
SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs. CoRR (2021)
Abhinav Muta, Prabhu Ramachandran, Pawan Negi
An efficient, open source, iterative ISPH scheme. Comput. Phys. Commun. 255 (2020)
Aditya Bhosale, Prabhu Ramachandran
Compyle: a Python package for parallel computing. SciPy (2020)
Abhinav Muta, Prabhu Ramachandran, Pawan Negi
Simple Iterative Incompressible Smoothed Particle Hydrodynamics. CoRR (2019)
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 (2019)
Pawan Negi, Prabhu Ramachandran
An improved particle packing algorithm for complex geometries in SPH. CoRR (2019)
Prabhu Ramachandran, Prathamesh Salunke, Ankit Javalkar, Aditya Palaparthy, Mahesh Gudi, Hardik Ghaghada
Yaksh: Facilitating Learning by Doing. SciPy (2018)
Prabhu Ramachandran
automan: A Python-Based Automation Framework for Numerical Computing. Comput. Sci. Eng. 20 (5) (2018)
Prabhu Ramachandran
Automan: a simple, Python-based, automation framework for numerical computing. CoRR (2017)
Prabhu Ramachandran
PySPH: a reproducible and high-performance framework for smoothed particle hydrodynamics. SciPy (2016)
Prabhu Ramachandran
Spreading the Adoption of Python in India: the FOSSEE Python Project. SciPy (2016)
Kunal Puri, Prabhu Ramachandran
Approximate Riemann solvers for the Godunov SPH (GSPH). J. Comput. Phys. 270 (2014)
Kunal Puri, Prabhu Ramachandran
A comparison of SPH schemes for the compressible Euler equations. J. Comput. Phys. 256 (2014)
Kunal Puri, Prabhu Ramachandran
SPH Entropy Errors and the Pressure Blip. CoRR (2013)
Prabhu Ramachandran, Gaël Varoquaux
Mayavi: 3D Visualization of Scientific Data. Comput. Sci. Eng. 13 (2) (2011)
Prabhu Ramachandran, Gaël Varoquaux
Mayavi: a package for 3D visualization of scientific data CoRR (2010)
Prabhu Ramachandran, Chandrashekhar Kaushik
PySPH: A Python Framework for Smoothed Particle Hydrodynamics. SciPy (2010)
Prabhu Ramachandran, M. Ramakrishna
An Object-Oriented Design for Two-Dimensional Vortex Particle Methods. ACM Trans. Math. Softw. 36 (4) (2009)
Prabhu Ramachandran, M. Ramakrishna, S. C. Rajan
Efficient random walks in the presence of complex two-dimensional geometries. Comput. Math. Appl. 53 (2) (2007)
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) (2005)
Prabhu Ramachandran, S. C. Rajan, M. Ramakrishna
A Fast, Two-Dimensional Panel Method. SIAM J. Sci. Comput. 24 (6) (2003)