EGU21-3851, updated on 04 Mar 2021
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Extraction of Nonlinear Dynamics of Heterogeneous Reactions Based on Sparse Modeling

Masaki Ito1, Tatsu Kuwatani2, Ryosuke Oyanagi2, and Toshiaki Omori1
Masaki Ito et al.
  • 1Kobe University, Graduate School of Engineering, Department of Electrical and Electronic Engineering, Japan
  • 2Japan Agency for Marine-Earth Science and Technology, Japan

Heterogeneous reactions are chemical reactions with conjugation of multiple phases, and they have the intrinsic nonlinearity of their dynamics caused by the effect of surface area between different phases. In earth science, it is important to understand heterogeneous reactions in order to figure out the dynamics of rock formation near surface of the earth. We employ sparse modeling algorithm and sequential Monte Carlo algorithm to partial observation problem, in order to simultaneously extract substantial reaction terms and surface models from a number of candidates. Using our proposed method, we show that heterogeneous reactions can be estimated successfully from noisy observable data under conditions that the number of observed variables is less than that of hidden variables.

How to cite: Ito, M., Kuwatani, T., Oyanagi, R., and Omori, T.: Extraction of Nonlinear Dynamics of Heterogeneous Reactions Based on Sparse Modeling, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-3851,, 2021.

Corresponding presentation materials formerly uploaded have been withdrawn.