SMART researchers highlighted on the DOE Artificial Intelligence & Technology Office (AITO) Web page
The article provides a high-level summary for the SMART project [...]
Deep Learning Assisted Framework Accelerates Inverse Modeling and Forecasting
Traditional physics based simulation approaches for inverse modeling and forecasting [...]
Machine Learning Strategies for Segmentation of Rock Core Computed Tomography Images
Labeling—or segmentation—of rock core computed tomography (CT) allows for micro- [...]
SMART Project Holds Technical Meeting October 5-7, 2021
On October 5-7, the SMART team convened for an internal [...]
Cross-Cutting Algorithms Support Real-Time Decision Making
Integration of Multiple Algorithms and Workflows The use of [...]