Siyan Liu Contact lius1@ornl.gov Publications Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method... Journal December, 2023 Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification December, 2023 Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates... Conference Paper November, 2023 Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems July, 2023 Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images July, 2023 Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » View All Key Links ORCID
Advancing subseasonal reservoir inflow forecasts using an explainable machine learning method... Journal December, 2023
Explainable machine learning model for multi-step forecasting of reservoir inflow with uncertainty quantification December, 2023
Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates... Conference Paper November, 2023
Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems July, 2023
Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images July, 2023