Sai-Mang Pun

According to our database, Sai-Mang Pun authored at least 21 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multi-agent Reinforcement Learning Aided Sampling Algorithms for a Class of Multiscale Inverse Problems.

Eric T. Chung, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang

J. Sci. Comput., August, 2023

Online Adaptive Algorithm for Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method.

Sai-Mang Pun, Siu Wun Cheung

Multiscale Model. Simul., March, 2023

Fast online adaptive enrichment for poroelasticity with high contrast.

Xin Su, Sai-Mang Pun

J. Comput. Phys., 2023

Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations.

Yalchin Efendiev, Wing Tat Leung, Wenyuan Li, Sai-Mang Pun, Petr N. Vabishchevich

J. Comput. Phys., 2023

Partially Explicit Generalized Multiscale Method for Poroelasticity Problem.

Xin Su, Wing Tat Leung, Wenyuan Li, Sai-Mang Pun

CoRR, 2023

2022

A multiscale method for the heterogeneous Signorini problem.

Xin Su, Sai-Mang Pun

J. Comput. Appl. Math., 2022

Computational multiscale method for parabolic wave approximations in heterogeneous media.

Eric T. Chung, Yalchin Efendiev, Sai-Mang Pun, Zecheng Zhang

Appl. Math. Comput., 2022

Iterative oversampling technique for constraint energy minimizing generalized multiscale finite element method in the mixed formulation.

Siu Wun Cheung, Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Sai-Mang Pun

Appl. Math. Comput., 2022

2021

Temporal splitting algorithms for non-stationary multiscale problems.

Yalchin Efendiev, Sai-Mang Pun, Petr N. Vabishchevich

J. Comput. Phys., 2021

Computational multiscale methods for quasi-gas dynamic equations.

Boris Chetverushkin, Eric T. Chung, Yalchin Efendiev, Sai-Mang Pun, Zecheng Zhang

J. Comput. Phys., 2021

A multi-stage deep learning based algorithm for multiscale model reduction.

Eric T. Chung, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang

J. Comput. Appl. Math., 2021

Convergence of the CEM-GMsFEM for Stokes flows in heterogeneous perforated domains.

Eric T. Chung, Jiuhua Hu, Sai-Mang Pun

J. Comput. Appl. Math., 2021

Space-time Non-local multi-continua upscaling for parabolic equations with moving channelized media.

Jiuhua Hu, Wing Tat Leung, Eric T. Chung, Yalchin Efendiev, Sai-Mang Pun

CoRR, 2021

Computational multiscale methods for parabolic wave approximations in heterogeneous media.

Eric T. Chung, Yalchin Efendiev, Sai-Mang Pun, Zecheng Zhang

CoRR, 2021

2020

Computational multiscale methods for first-order wave equation using mixed CEM-GMsFEM.

Eric T. Chung, Sai-Mang Pun

J. Comput. Phys., 2020

Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem.

Eric T. Chung, Yalchin Efendiev, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang

CoRR, 2020

A multi-stage deep learning based algorithm for multiscale modelreduction.

Eric T. Chung, Wing Tat Leung, Sai-Mang Pun, Zecheng Zhang

CoRR, 2020

2019

Online Adaptive Basis Enrichment for Mixed CEM-GMsFEM.

Eric T. Chung, Sai-Mang Pun

Multiscale Model. Simul., 2019

Computational multiscale methods for linear poroelasticity with high contrast.

Shubin Fu, Robert Altmann, Eric T. Chung, Roland Maier, Daniel Peterseim, Sai-Mang Pun

J. Comput. Phys., 2019

Online basis construction for goal-oriented adaptivity in the generalized multiscale finite element method.

Eric T. Chung, Sara N. Pollock, Sai-Mang Pun

J. Comput. Phys., 2019

An adaptive dynamically low-dimensional approximation method for multiscale stochastic diffusion equations.

Eric T. Chung, Sai-Mang Pun, Zhiwen Zhang

J. Comput. Appl. Math., 2019