All abstracts by Haonan Peng at Goldschmidt2024
| (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 |
| (2024) Accelerating Reactive Transport Simulations by Combining Machine Learning, Smart Algorithms and High Performance Computing
Prasianakis N, Baur M, Peng H, Mokos A & Churakov SV |
| (2024) Insights into the Metastability of Amorphous Calcium Carbonate (ACC): Microfluidic Experiments Combined with an AI-Assisted Toolbox for Quantifying Mineral Transformations
Obaied A, Poonoosamy J, Peng H, Kaspor A, Bosbach D, Prasianakis N & Deissmann G |