Prabhu Ramachandran

34 papers Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rapid variable resolution particle initialization for complex geometries. Comput. Phys. Commun. Navaneet Villodi, Prabhu Ramachandran
2025	J	`jnl`	Adaptive Compressible Smoothed Particle Hydrodynamics. J. Comput. Phys. Navaneet Villodi, Prabhu Ramachandran
2025	J	`jnl`	Rapid Variable Resolution Particle Initialization for Complex Geometries. CoRR Navaneet Villodi, Prabhu Ramachandran
2022	J	`jnl`	Anisotropic, Sparse and Interpretable Physics-Informed Neural Networks for PDEs. CoRR Amuthan A. Ramabathiran, Prabhu Ramachandran
2022	J	`jnl`	Identifying second order accurate boundary conditions for WCSPH. CoRR Pawan Negi, Prabhu Ramachandran
2022	J	`jnl`	Parallel adaptive weakly-compressible SPH for complex moving geometries. Comput. Phys. Commun. Asmelash Haftu, Abhinav Muta, Prabhu Ramachandran
2021	J	`jnl`	Algorithms for uniform particle initialization in domains with complex boundaries. Comput. Phys. Commun. Pawan Negi, Prabhu Ramachandran
2021	J	`jnl`	Efficient and Accurate Adaptive Resolution for Weakly-Compressible SPH. CoRR Abhinav Muta, Prabhu Ramachandran
2021	J	`jnl`	How to train your solver: A method of manufactured solutions for weakly-compressible SPH. CoRR Pawan Negi, Prabhu Ramachandran
2021	J	`jnl`	Numerical Investigation of Accuracy, Convergence, and Conservation of Weakly-Compressible SPH. CoRR Pawan Negi, Prabhu Ramachandran
2021	J	`jnl`	PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics. ACM Trans. Math. Softw. 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
2021	J	`jnl`	SPINN: Sparse, Physics-based, and Interpretable Neural Networks for PDEs. CoRR Amuthan A. Ramabathiran, Prabhu Ramachandran
2021	J	`jnl`	SPINN: Sparse, Physics-based, and partially Interpretable Neural Networks for PDEs. J. Comput. Phys. Amuthan A. Ramabathiran, Prabhu Ramachandran
2021	J	`jnl`	Scientific Computing With Python on High-Performance Heterogeneous Systems. Comput. Sci. Eng. Lorena A. Barba, Andreas Klöckner, Prabhu Ramachandran, Rollin C. Thomas
2020	J	`jnl`	An efficient, open source, iterative ISPH scheme. Comput. Phys. Commun. Abhinav Muta, Prabhu Ramachandran, Pawan Negi
2020	—	`conf`	Compyle: a Python package for parallel computing. SciPy Aditya Bhosale, Prabhu Ramachandran
2019	J	`jnl`	An improved particle packing algorithm for complex geometries in SPH. CoRR Pawan Negi, Prabhu Ramachandran
2019	J	`jnl`	PySPH: a Python-based framework for smoothed particle hydrodynamics. CoRR 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
2019	J	`jnl`	Simple Iterative Incompressible Smoothed Particle Hydrodynamics. CoRR Abhinav Muta, Prabhu Ramachandran, Pawan Negi
2018	—	`conf`	Yaksh: Facilitating Learning by Doing. SciPy Prabhu Ramachandran, Prathamesh Salunke, Ankit Javalkar, Aditya Palaparthy, Mahesh Gudi, Hardik Ghaghada
2018	J	`jnl`	automan: A Python-Based Automation Framework for Numerical Computing. Comput. Sci. Eng. Prabhu Ramachandran
2017	J	`jnl`	Automan: a simple, Python-based, automation framework for numerical computing. CoRR Prabhu Ramachandran
2016	—	`conf`	PySPH: a reproducible and high-performance framework for smoothed particle hydrodynamics. SciPy Prabhu Ramachandran
2016	—	`conf`	Spreading the Adoption of Python in India: the FOSSEE Python Project. SciPy Prabhu Ramachandran
2014	J	`jnl`	A comparison of SPH schemes for the compressible Euler equations. J. Comput. Phys. Kunal Puri, Prabhu Ramachandran
2014	J	`jnl`	Approximate Riemann solvers for the Godunov SPH (GSPH). J. Comput. Phys. Kunal Puri, Prabhu Ramachandran
2013	J	`jnl`	SPH Entropy Errors and the Pressure Blip. CoRR Kunal Puri, Prabhu Ramachandran
2011	J	`jnl`	Mayavi: 3D Visualization of Scientific Data. Comput. Sci. Eng. Prabhu Ramachandran, Gaël Varoquaux
2010	J	`jnl`	Mayavi: a package for 3D visualization of scientific data CoRR Prabhu Ramachandran, Gaël Varoquaux
2010	—	`conf`	PySPH: A Python Framework for Smoothed Particle Hydrodynamics. SciPy Prabhu Ramachandran, Chandrashekhar Kaushik
2009	J	`jnl`	An Object-Oriented Design for Two-Dimensional Vortex Particle Methods. ACM Trans. Math. Softw. Prabhu Ramachandran, M. Ramakrishna
2007	J	`jnl`	Efficient random walks in the presence of complex two-dimensional geometries. Comput. Math. Appl. Prabhu Ramachandran, M. Ramakrishna, S. C. Rajan
2005	J	`jnl`	A Fast Multipole Method for Higher Order Vortex Panels in Two Dimensions. SIAM J. Sci. Comput. Prabhu Ramachandran, S. C. Rajan, M. Ramakrishna
2003	J	`jnl`	A Fast, Two-Dimensional Panel Method. SIAM J. Sci. Comput. Prabhu Ramachandran, S. C. Rajan, M. Ramakrishna