Related meetings
This pages lists meetings related to the ISNET series, with links to talks and other resources if available.
Meetings in 2020
Uncertainties in Calculations of Nuclear Reactions of Astrophysical Interest
A virtual workshop was hosted by the Mainz Institute for Theoretical Physics.
Available talks can be found on the timetable page.
Artificial Intelligence for Nuclear Physics 2020
A three-day workshop entitled “A.I. for Nuclear Physics” was held in 2020 at Jefferson Lab in Newport News, VA, USA. All talks from this meeting can be found here.
A breakout session was held specifically for the nuclear structure theory working group, and those talks are hosted here for further dissemination.
- Survey: Status of AI in Nuclear Structure Theory by Witek Nazarewicz (MSU/FRIB):
- Working group 1: Eigenvector continuation and machine learning by Dean Lee (MSU/FRIB)
- Working group 2: Bayesian methods in nuclear effective field theories by Sarah Wesolowski (Salisbury U)
- Working group 3: Beyond the proton drip line with Bayesian analysis by Samuel A. Giuliani (MSU/FRIB)
- Working group 4: Extrapolating nuclear masses using Bayesian GPR by Rahul Jain (MSU/FRIB)
Meetings in 2019
American Physical Society Division of Nuclear Physics meeting
A half-day workshop entitled “New data analysis methods” was held at the 2019 American Physical Society Division of Nuclear Physics meeting in Arlington, VA, USA. The talks from that meeting are hosted here for further dissemination.
- Talk 1: Introduction to Bayesian methods and uncertainty quantification by Sarah Wesolowski (Salisbury U)
- Talk 2: Application of Bayesian methods in effective field theory by Dick Furnstahl (Ohio State U)
- Talk 3: Uncertainty quantification in Nuclear Reactions by Filomena Nunes (FRIB/ Michigan State U)
- Talk 4: Bayesian analysis and interpretation of heavy-ion collisions by Scott Pratt (Michigan State U)
- Talk 5: Fitting with normalization uncertainties by Byron Roe (U of Michigan)
- Talk 6: Global fits for deep inelastic scattering and related processes by Nobuo Sato (Jefferson Lab)