| The objective of the STREAMLINE Collaboration Meeting 2026 is to present and discuss progress on machine learning for nuclear many-body systems by members of the STREAMLINE (SmarT Reduction and Emulation Applying Machine Learning In Nuclear Environments) Collaboration. The collaboration is funded by the DOE Office of Science Nuclear Physics under grant DOE-DE-SC0026198 |
| Participant Support | The STREAMLINE Collaboration may provide partial support to selected participants. Participants who need support have to complete a Participant Support application form and email it to Dean Lee by April 1st. Your application will be reviewed and you will be contacted by April 10th if your application is approved. |
| Participating institutions | ||
| FRIB, Michigan State University Argonne National Laboratory Fermilab Florida State University NC State University Oak Ridge National Laboratory Ohio State University Ohio University University of Tennessee Knoxville |
||
| Local Organizing Committee | ||
| Dean Lee Kyle Godbey Pablo Giuliani Witold Nazarewicz Xilin Zhang |
||