Accelerating Reactive Transport Modeling: On-Demand Machine Learning Algorithm for Chemical Equilibrium Calculations
Metadata only
Date
2020-06Type
- Journal Article
Publication status
publishedExternal links
Journal / series
Transport in Porous MediaVolume
Pages / Article No.
Publisher
SpringerOrganisational unit
09494 - Saar, Martin O. / Saar, Martin O.
Funding
179967 - Innovative Computational Methods for Ultra-Fast Simulations of Coupled Physical and Chemical Processes Using Machine Learning and GPU Parallel Computing (SNF)
Related publications and datasets
Is referenced by: http://hdl.handle.net/20.500.11850/421444
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