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  Reduced Basis Method for the Nonlinear Poisson-Boltzmann Equation regularized by the Range-Separated Canonical Tensor Format

Kweyu, C. M., Feng, L., Stein, M., & Benner, P. (2022). Reduced Basis Method for the Nonlinear Poisson-Boltzmann Equation regularized by the Range-Separated Canonical Tensor Format. International Journal of Nonlinear Sciences and Numerical Simulation. doi:10.1515/ijnsns-2021-0103.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-1614-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-7AFB-3
Genre: Journal Article

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 Creators:
Kweyu, Cleophas M.1, 2, Author           
Feng, Lihong1, Author           
Stein, Matthias3, Author           
Benner, Peter1, 4, Author           
Affiliations:
1Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
2Moi University, Kenya, ou_persistent22              
3Molecular Simulations and Design, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738148              
4Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 Dates: 2021-02-272022
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: arXiv: 2103.00245
DOI: 10.1515/ijnsns-2021-0103
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Title: International Journal of Nonlinear Sciences and Numerical Simulation
Source Genre: Journal
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