Sun, Ruxiao, Huanquan Pan, Hongyu Xiong, and Hamdi Tchelepi. “ Physical-Informed Deep Learning Framework for CO2-Injected EOR Compositional Simulation”, Engineering Applications of Artificial Intelligence, 126 (July 20, 2023). https://doi.org/10.1016/j.engappai.2023.106742.

Jiang, Jiamin, Pavel Tomin, and Hamdi Tchelepi. “Accelerated Nonlinear Domain Decomposition Solver for Multi-Phase Flow and Transport in Porous Media”, Journal of Computational Physics, June 25, 2023, 112328. https://doi.org/doi.org/10.1016/j.jcp.2023.112328.

N’diaye, M., F. Hamon, and H. Tchelepi. “Comparison of Nonlinear Field-Split Preconditioners for Two-Phase Flow in Heterogeneous Porous Media”, Computational Geosciences, 2023. https://doi.org/10.1007/s10596-023-10200-x.

Kim, YD., and L. Durlofsky. “Convolutional – Recurrent Neural Network Proxy for Robust Optimization and Closed-Loop Reservoir Management”, Computational Geosciences, 2023. https://doi.org/10.1007/s10596-022-10189-9.

Nasir, Y., and L. Durlofsky. “Deep Reinforcement Learning for Optimal Well Control in Subsurface Systems With Uncertain Geology”, Journal of Computational Physics, 2023. https://doi.org/10.1016/j.jcp.2023.111945.

Weiyu, Li, Tchelepi Hamdi, and Tartakovsky Daniel. “Screening of Electrolyte-Anode Buffers to Suppress Lithium Dendrite Growth in All-Solid-State Batteries”, 2023. https://iopscience.iop.org/article/10.1149/1945-7111/acd0da/meta.

Li, J., P. Tomin, and H. Tchelepi. “Sequential Fully Implicit Newton Method for Flow and Transport With Natural Black-Oil Formulation”, Computational Geosciences, 2023. https://doi.org/10.1007/s10596-022-10186-y.

Jiang, S., and L. Durlofsky. “Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models”, Journal of Computational Physics, 2023. https://doi.org/10.1016/j.jcp.2022.111800.

Shovkun, I., and H. Tchelepi. “A Cut-Cell Polyhedral Finite Element Model for Coupled Fluid Flow and Mechanics in Fractured Reservoirs”, SPE Journal, 2022. https://doi.org/10.2118/203958-PA.

Deucher, R., and L. Durlofsky. “A New Flow-Kinematics-Based Model for Time-Dependent Effective Dispersion in Mixing-Limited Reactions”, Water Resources Research, 2022. https://doi.org/10.1029/2022WR032156.

Nasir, Y., O. Volkov, and L. Durlofsky. “A Two-Stage Optimization Strategy for Large-Scale Oil Field Development”, Optimization and Engineering, 2022. https://doi.org/10.1007/s11081-020-09591-y.

Nasir, Yusuf, Oleg Volkov, and Louis Durlofsky. “A Two-Stage Optimization Strategy for Large-Scale Oil Field Development”, Optimization and Engineering, 2022. https://doi.org/10.1007/s11081-020-09591-y.

Karimi-Fard, M. “An Approximate Cut-Cell Discretization Technique for Flow in Fractured Porous Media”, Computational Geosciences, 2022. https://doi.org/10.1007/s10596-022-10173-3.

Tang, M., X. Ju, and L. Durlofsky. “Deep-Learning-Based Coupled Flow-Geomechanics Surrogate Model for CO2 Sequestration”, International Journal of Greenhouse Gas Control, 2022. https://doi.org/10.1016/j.ijggc.2022.103692.

Zou, A., T. Ye, O. Volkov, and L. Durlofsky. “Effective Treatment of Geometric Constraints in Derivative-Free Well Placement Optimization”, Journal of Petroleum Science and Engineering, 2022. https://doi.org/10.1016/j.petrol.2022.110635.

Deucher, R., and H. Tchelepi. “High Resolution Adaptive Implicit Method for Reactive Transport in Heterogeneous Porous Media”, Journal of Computational Physics, 2022. https://doi.org/10.1016/j.jcp.2022.111391.

Yang, HJ., H. Tchelepi, and D. Tartakovsky. “Method of Distributions for Two-Phase Flow in Heterogeneous Porous Media”, Water Resources Research, 2022. https://doi.org/10.1029/2022WR032607.

Ma, Z., O. Volkov, and L. Durlofsky. “Multigroup Strategy for Well Control Optimization”, Journal of Petroleum Science and Engineering, 2022. https://doi.org/10.1016/j.petrol.2022.110448.

Ma, Z., YD. Kim, O. Volkov, and L. Durlofsky. “Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy”, Mathematical Geosciences, 2022. https://doi.org/10.1007/s11004-022-10020-2.

Franceschini, A., N. Castelletto, J. White, and H. Tchelepi. “Scalable Preconditioning for the Stabilized Contact Mechanics Problem”, Journal of Computational Physics, 2022. https://doi.org/10.1016/j.jcp.2022.111150.