Abstract Details
(2024) Towards Digital Twins of Capillary Mass Diffusion Experiments: A Physics-Based Machine-Learning Framework for Inverse Modeling of Mass Transport Processes
Peng H, Rajyaguru A, Curti E, Grolimund D, Churakov SV & Prasianakis N
https://doi.org/10.46247/gold2024.23482
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5c: Continental B, Monday 19th August 14:30 - 14:45
Haonan Peng
View all 3 abstracts at Goldschmidt2024
View abstracts at 2 conferences in series
Ashish Rajyaguru View abstracts at 3 conferences in series
Enzo Curti View abstracts at 11 conferences in series
Daniel Grolimund View abstracts at 11 conferences in series
Sergey V. Churakov View all 4 abstracts at Goldschmidt2024 View abstracts at 4 conferences in series
Nikolaos Prasianakis View all 3 abstracts at Goldschmidt2024 View abstracts at 4 conferences in series
Ashish Rajyaguru View abstracts at 3 conferences in series
Enzo Curti View abstracts at 11 conferences in series
Daniel Grolimund View abstracts at 11 conferences in series
Sergey V. Churakov View all 4 abstracts at Goldschmidt2024 View abstracts at 4 conferences in series
Nikolaos Prasianakis View all 3 abstracts at Goldschmidt2024 View abstracts at 4 conferences in series
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