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Suraj Pawar
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2020 – today
- 2023
- [j3]Sahil Bhola, Suraj Pawar, Prasanna Balaprakash, Romit Maulik:
Multi-fidelity reinforcement learning framework for shape optimization. J. Comput. Phys. 482: 112018 (2023) - 2022
- [j2]Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San:
Physics guided neural networks for modelling of non-linear dynamics. Neural Networks 154: 333-345 (2022) - [i8]Sahil Bhola, Suraj Pawar, Prasanna Balaprakash, Romit Maulik:
Multi-fidelity reinforcement learning framework for shape optimization. CoRR abs/2202.11170 (2022) - [i7]Haakon Robinson, Suraj Pawar, Adil Rasheed, Omer San:
Physics guided neural networks for modelling of non-linear dynamics. CoRR abs/2205.06858 (2022) - [i6]Omer San, Suraj Pawar, Adil Rasheed:
Decentralized digital twins of complex dynamical systems. CoRR abs/2207.12245 (2022) - [i5]Omer San, Suraj Pawar, Adil Rasheed:
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems. CoRR abs/2207.12854 (2022) - [i4]Omer San, Suraj Pawar, Adil Rasheed:
Prospects of federated machine learning in fluid dynamics. CoRR abs/2208.07017 (2022) - 2021
- [j1]Suraj Pawar, Romit Maulik:
Distributed deep reinforcement learning for simulation control. Mach. Learn. Sci. Technol. 2(2): 25029 (2021) - 2020
- [i3]Shady E. Ahmed, Suraj Pawar, Omer San, Adil Rasheed, Mandar V. Tabib:
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction. CoRR abs/2008.03157 (2020) - [i2]Suraj Pawar, Omer San, Burak Aksoylu, Adil Rasheed, Trond Kvamsdal:
Physics guided machine learning using simplified theories. CoRR abs/2012.13343 (2020)
2010 – 2019
- 2019
- [i1]Sk. Mashfiqur Rahman, Suraj Pawar, Omer San, Adil Rasheed, Traian Iliescu:
A non-intrusive reduced order modeling framework for quasi-geostrophic turbulence. CoRR abs/1906.11617 (2019)
Coauthor Index
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