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ORCIDTapan Mukerji
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2020 – today
- 2024
[i9]Ali Kashefi, Tapan Mukerji:
A novel Fourier neural operator framework for classification of multi-sized images: Application to 3D digital porous media. CoRR abs/2402.11568 (2024)- 2023
- [j11]Ali Kashefi
, Tapan Mukerji:
Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet. Neural Networks 167: 80-91 (2023) - [j10]Jiaxin Yu, Tapan Mukerji, Per Avseth:
rockphypy: An extensive Python library for rock physics modeling. SoftwareX 24: 101567 (2023) - [i8]Ali Kashefi, Tapan Mukerji:
ChatGPT for Programming Numerical Methods. CoRR abs/2303.12093 (2023) - [i7]Ali Kashefi, Leonidas J. Guibas, Tapan Mukerji:
Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity. CoRR abs/2303.13634 (2023) - [i6]Jaehong Chung, Rasool Ahmad, WaiChing Sun, Wei Cai, Tapan Mukerji:
Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks. CoRR abs/2310.19274 (2023) - 2022
- [j9]Ali Kashefi, Tapan Mukerji:
Physics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries. J. Comput. Phys. 468: 111510 (2022) - [j8]Tongjun Chen, Zhijun Lin, Zuiliang Liu, Tapan Mukerji:
A Comparative Experiment on Heterogeneous Distributions of Stress Field for Underground Panels With Different Geological Setting in North China. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j7]Suihong Song, Tapan Mukerji, Jiagen Hou:
Bridging the Gap Between Geophysics and Geology With Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [i5]Divakar Vashisth, Tapan Mukerji:
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN). CoRR abs/2210.00042 (2022) - 2021
- [c6]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. AAAI 2021: 11880-11887 - [c5]John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. AAAI 2021: 11888-11894 - [i4]Ali Kashefi, Tapan Mukerji:
Point-Cloud Deep Learning of Porous Media for Permeability Prediction. CoRR abs/2107.14038 (2021) - 2020
- [j6]Trygve Olav Fossum, John P. Ryan, Tapan Mukerji, Jo Eidsvik, Thom Maughan, Martin Ludvigsen, Kanna Rajan:
Compact models for adaptive sampling in marine robotics. Int. J. Robotics Res. 39(1) (2020) - [i3]Rayan Kanfar, Obai Shaikh, Mehrdad Yousefzadeh, Tapan Mukerji:
Real-Time Well Log Prediction From Drilling Data Using Deep Learning. CoRR abs/2001.10156 (2020) - [i2]John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. CoRR abs/2010.03597 (2020) - [i1]John Mern, Anil Yildiz, Larry Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. CoRR abs/2010.03599 (2020)
2010 – 2019
- 2013
- [j5]Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji:
The Value of Information in Portfolio Problems with Dependent Projects. Decis. Anal. 10(4): 341-351 (2013) - [j4]Heiko Andrä, Nicolas Combaret, Jack Dvorkin, Erik Glatt, Junehee Han, Matthias Kabel, Youngseuk Keehm, Fabian Krzikalla, Minhui Lee, Claudio Madonna, Mike Marsh, Tapan Mukerji, Erik H. Saenger, Ratnanabha Sain, Nishank Saxena, Sarah Ricker, Andreas Wiegmann, Xin Zhan:
Digital rock physics benchmarks - Part I: Imaging and segmentation. Comput. Geosci. 50: 25-32 (2013) - [j3]Heiko Andrä, Nicolas Combaret, Jack Dvorkin, Erik Glatt, Junehee Han, Matthias Kabel, Youngseuk Keehm, Fabian Krzikalla, Minhui Lee, Claudio Madonna, Mike Marsh, Tapan Mukerji, Erik H. Saenger, Ratnanabha Sain, Nishank Saxena, Sarah Ricker, Andreas Wiegmann, Xin Zhan:
Digital rock physics benchmarks - part II: Computing effective properties. Comput. Geosci. 50: 33-43 (2013) - 2011
- [j2]Juan Luis Fernández Martínez, Tapan Mukerji, Esperanza García Gonzalo, Zulima Fernández-Muñiz:
Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques. Math. Comput. Model. 54(11-12): 2889-2899 (2011) - [p1]David Echeverría Ciaurri, Tapan Mukerji, Louis J. Durlofsky:
Derivative-Free Optimization for Oil Field Operations. Computational Optimization and Applications in Engineering and Industry 2011: 19-55 - 2010
- [j1]Juan Luis Fernández Martínez, Esperanza García Gonzalo, Zulima Fernández-Muñiz, Grégoire Mariéthoz, Tapan Mukerji:
Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques. Int. J. Appl. Evol. Comput. 1(3): 27-48 (2010) - [c4]Juan Luis Fernández Martínez, Tapan Mukerji, Esperanza García Gonzalo:
Particle Swarm Optimization in High Dimensional Spaces. ANTS Conference 2010: 496-503 - [c3]Juan Luis Fernández Martínez, Michael Tompkins, Tapan Mukerji, David Alumbaugh:
Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces. SMPS 2010: 247-254 - [c2]Juan Luis Fernández Martínez, Michael Tompkins, Zulima Fernández-Muñiz, Tapan Mukerji:
Inverse Problems and Model Reduction Techniques. SMPS 2010: 255-262
1990 – 1999
- 1995
- [c1]Gary Mavko, Nathalie Lucet, Tapan Mukerji:
Seismic methods for imaging physical properties of the Earth. ICASSP 1995: 2817-2820
Coauthor Index
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