Adaptive Time-Stepping and Machine Learning Approach for Pore-Scale Reactive Transport Simulations

Micha P. Baur, Sergey V. Churakov, Nikolaos I. Prasianakis

Open source

DOI
10.1007/s11242-026-02287-4
Published
2026-02-12
Container
Transport in Porous Media
Publisher
Springer Science and Business Media LLC
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/s11242-026-02287-4,
  title = {Adaptive Time-Stepping and Machine Learning Approach for Pore-Scale Reactive Transport Simulations},
  author = {Micha P. Baur and Sergey V. Churakov and Nikolaos I. Prasianakis},
  year = {2026},
  journal = {Transport in Porous Media},
  doi = {10.1007/s11242-026-02287-4},
  url = {https://doi.org/10.1007/s11242-026-02287-4}
}

RIS

TY  - JOUR
TI  - Adaptive Time-Stepping and Machine Learning Approach for Pore-Scale Reactive Transport Simulations
AU  - Micha P. Baur
AU  - Sergey V. Churakov
AU  - Nikolaos I. Prasianakis
PY  - 2026
JO  - Transport in Porous Media
DO  - 10.1007/s11242-026-02287-4
UR  - https://doi.org/10.1007/s11242-026-02287-4
ER  - 

APA

Baur, M. P., Churakov, S. V., & Prasianakis, N. I. (2026). Adaptive Time-Stepping and Machine Learning Approach for Pore-Scale Reactive Transport Simulations. Transport in Porous Media. https://doi.org/10.1007/s11242-026-02287-4

Source records