default search action
Prabhu Ramachandran
Person information
SPARQL queries
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint