Tapan Mukerji

According to our database, Tapan Mukerji authored at least 28 papers between 1995 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Physics-informed multi-grid neural operator: Theory and an application to porous flow simulation.

Suihong Song, Tapan Mukerji, Dongxiao Zhang

J. Comput. Phys., 2025

2024

Well log data generation and imputation using sequence-based generative adversarial networks.

Abdulrahman Al-Fakih, Ardiansyah Koeshidayatullah, Tapan Mukerji, Sadam Al-Azani, Sanlinn I. Kaka

CoRR, 2024

Enhanced anomaly detection in well log data through the application of ensemble GANs.

Abdulrahman Al-Fakih, Ardiansyah Koeshidayatullah, Tapan Mukerji, Sanlinn I. Kaka

CoRR, 2024

A novel Fourier neural operator framework for classification of multi-sized images: Application to 3D digital porous media.

Ali Kashefi, Tapan Mukerji

CoRR, 2024

2023

rockphypy: An extensive Python library for rock physics modeling.

Jiaxin Yu, Tapan Mukerji, Per Avseth

SoftwareX, December, 2023

Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet.

Ali Kashefi, Tapan Mukerji

Neural Networks, October, 2023

Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks.

Jaehong Chung, Rasool Ahmad, WaiChing Sun, Wei Cai, Tapan Mukerji

CoRR, 2023

Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity.

Ali Kashefi, Leonidas J. Guibas, Tapan Mukerji

CoRR, 2023

ChatGPT for Programming Numerical Methods.

Ali Kashefi, Tapan Mukerji

CoRR, 2023

2022

Bridging the Gap Between Geophysics and Geology With Generative Adversarial Networks.

Suihong Song, Tapan Mukerji, Jiagen Hou

IEEE Trans. Geosci. Remote. Sens., 2022

A Comparative Experiment on Heterogeneous Distributions of Stress Field for Underground Panels With Different Geological Setting in North China.

Tongjun Chen, Zhijun Lin, Zuiliang Liu, Tapan Mukerji

IEEE Trans. Geosci. Remote. Sens., 2022

Physics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries.

Ali Kashefi, Tapan Mukerji

J. Comput. Phys., 2022

Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN).

Divakar Vashisth, Tapan Mukerji

CoRR, 2022

2021

Point-Cloud Deep Learning of Porous Media for Permeability Prediction.

Ali Kashefi, Tapan Mukerji

CoRR, 2021

Bayesian Optimized Monte Carlo Planning.

John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Improved POMDP Tree Search Planning with Prioritized Action Branching.

John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Compact models for adaptive sampling in marine robotics.

Trygve Olav Fossum, John P. Ryan, Tapan Mukerji, Jo Eidsvik, Thom Maughan, Martin Ludvigsen, Kanna Rajan

Int. J. Robotics Res., 2020

Real-Time Well Log Prediction From Drilling Data Using Deep Learning.

Rayan Kanfar, Obai Shaikh, Mehrdad Yousefzadeh, Tapan Mukerji

CoRR, 2020

2013

Digital rock physics benchmarks - part II: Computing effective properties.

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

Comput. Geosci., 2013

Digital rock physics benchmarks - Part I: Imaging and segmentation.

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

Comput. Geosci., 2013

The Value of Information in Portfolio Problems with Dependent Projects.

Debarun Bhattacharjya, Jo Eidsvik, Tapan Mukerji

Decis. Anal., 2013

2011

Derivative-Free Optimization for Oil Field Operations.

David Echeverría Ciaurri, Tapan Mukerji, Louis J. Durlofsky

Proceedings of the Computational Optimization and Applications in Engineering and Industry, 2011

Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques.

Juan Luis Fernández Martínez, Tapan Mukerji, Esperanza García Gonzalo, Zulima Fernández-Muñiz

Math. Comput. Model., 2011

2010

Posterior Sampling using Particle Swarm Optimizers and Model Reduction Techniques.

Juan Luis Fernández Martínez, Esperanza García Gonzalo, Zulima Fernández-Muñiz, Grégoire Mariéthoz, Tapan Mukerji

Int. J. Appl. Evol. Comput., 2010

Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces.

Juan Luis Fernández Martínez, Michael Tompkins, Tapan Mukerji, David Alumbaugh

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Inverse Problems and Model Reduction Techniques.

Juan Luis Fernández Martínez, Michael Tompkins, Zulima Fernández-Muñiz, Tapan Mukerji

Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Particle Swarm Optimization in High Dimensional Spaces.

Juan Luis Fernández Martínez, Tapan Mukerji, Esperanza García Gonzalo

Proceedings of the Swarm Intelligence - 7th International Conference, 2010

1995

Seismic methods for imaging physical properties of the Earth.

Gary Mavko, Nathalie Lucet, Tapan Mukerji

Proceedings of the 1995 International Conference on Acoustics, 1995