Seismic methods for imaging physical properties of the Earth. - Gary Mavko; Nathalie Lucet; Tapan Mukerji (ICASSP, 1995)

Particle Swarm Optimization in High Dimensional Spaces. - Juan Luis Fernández Martínez; Tapan Mukerji; Esperanza García Gonzalo (ANTS Conference, 2010)

Inverse Problems and Model Reduction Techniques. - Juan Luis Fernández Martínez; Michael Tompkins; Zulima Fernández-Muñiz; Tapan Mukerji (SMPS, 2010)

Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces. - Juan Luis Fernández Martínez; Michael Tompkins; Tapan Mukerji; David Alumbaugh (SMPS, 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)

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)

Derivative-Free Optimization for Oil Field Operations. - David Echeverría Ciaurri; Tapan Mukerji; Louis J. Durlofsky (Computational Optimization and Applications in Engineering and Industry, 2011)

The Value of Information in Portfolio Problems with Dependent Projects. - Debarun Bhattacharjya; Jo Eidsvik; Tapan Mukerji (Decis. Anal., 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; et al. (Comput. Geosci., 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; et al. (Comput. Geosci., 2013)

Real-Time Well Log Prediction From Drilling Data Using Deep Learning. - Rayan Kanfar; Obai Shaikh; Mehrdad Yousefzadeh; Tapan Mukerji (CoRR, 2020)

Compact models for adaptive sampling in marine robotics. - Trygve Olav Fossum; John P. Ryan 001; Tapan Mukerji; Jo Eidsvik; Thom Maughan; Martin Ludvigsen; Kanna Rajan (Int. J. Robotics Res., 2020)

Improved POMDP Tree Search Planning with Prioritized Action Branching. - John Mern; Anil Yildiz; Lawrence Bush; Tapan Mukerji; Mykel J. Kochenderfer (AAAI, 2021)

Bayesian Optimized Monte Carlo Planning. - John Mern; Anil Yildiz; Zachary Sunberg; Tapan Mukerji; Mykel J. Kochenderfer (AAAI, 2021)

Point-Cloud Deep Learning of Porous Media for Permeability Prediction. - Ali Kashefi; Tapan Mukerji (CoRR, 2021)

Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN). - Divakar Vashisth; Tapan Mukerji (CoRR, 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)

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)

Bridging the Gap Between Geophysics and Geology With Generative Adversarial Networks. - Suihong Song; Tapan Mukerji; Jiagen Hou (IEEE Trans. Geosci. Remote. Sens., 2022)

ChatGPT for Programming Numerical Methods. - Ali Kashefi; 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)

Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks. - Jaehong Chung; Rasool Ahmad; WaiChing Sun; Wei Cai; Tapan Mukerji (CoRR, 2023)

Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet. - Ali Kashefi; Tapan Mukerji (Neural Networks, 2023)

rockphypy: An extensive Python library for rock physics modeling. - Jiaxin Yu; Tapan Mukerji; Per Avseth (SoftwareX, 2023)

A novel Fourier neural operator framework for classification of multi-sized images: Application to 3D digital porous media. - Ali Kashefi; Tapan Mukerji (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)

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)

Physics-informed multi-grid neural operator: Theory and an application to porous flow simulation. - Suihong Song; Tapan Mukerji; Dongxiao Zhang (J. Comput. Phys., 2025)

Quantifying Model Misrepresentation in Geophysical Inversion for Critical Mineral Exploration. - Zhen Yin; Alex Miltenberger; Mark Topinka; Lijing Wang; Tapan Mukerji; Jef Caers (IEEE Trans. Geosci. Remote. Sens., 2025)

Seismic inversion using hybrid quantum neural networks. - Divakar Vashisth; Rohan Sharma; Tapan Mukerji; Mrinal K. Sen (CoRR, 2025)

Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries. - Ali Kashefi; Tapan Mukerji (CoRR, 2025)

Image registration of 2D optical thin sections in a 3D porous medium: Application to a Berea sandstone digital rock image. - Jaehong Chung; Wei Cai; Tapan Mukerji (CoRR, 2025)

Forecasting the spatiotemporal evolution of fluid-induced microearthquakes with deep learning. - Jaehong Chung; Michael Manga; Timothy Kneafsey; Tapan Mukerji; Mengsu Hu (CoRR, 2025)

Pix2Geomodel: A Next-Generation Reservoir Geomodeling with Property-to-Property Translation. - Abdulrahman Al-Fakih; Ardiansyah Koeshidayatullah; Nabil A. Saraih; Tapan Mukerji; Rayan Kanfar; Abdulmohsen Alali; Sanlinn I. Kaka (CoRR, 2025)