Siyan Liu Contact lius1@ornl.gov Publications Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images Journal: Geoenergy Science and Engineering July, 2023 Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems July, 2023 Coupled Lattice Boltzmann Modeling Framework for Pore-Scale Fluid Flow and Reactive Transport Journal: ACS Omega April, 2023 A scalable transformer model for real-time decision making in neutron scattering experiments Journal: Journal of Machine Learning for Modeling and Computing April, 2023 Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions Journal: Frontiers in Water April, 2023 Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » view all Key Links ORCID
Uncertainty quantification of the convolutional neural networks on permeability estimation from micro-CT scanned sandstone and carbonate rock images Journal: Geoenergy Science and Engineering July, 2023
Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems July, 2023
Coupled Lattice Boltzmann Modeling Framework for Pore-Scale Fluid Flow and Reactive Transport Journal: ACS Omega April, 2023
A scalable transformer model for real-time decision making in neutron scattering experiments Journal: Journal of Machine Learning for Modeling and Computing April, 2023
Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions Journal: Frontiers in Water April, 2023