Facility acknowledgment for publications
All users are asked to submit information about their resulting publications to the FRIB Manager for User Relations (useroffice@frib.msu.edu). In the future, publication information will be entered on the FRIB Scientific User Portal.
To the extent possible, an acknowledgment of Federal support must appear in the publication of any material, whether copyrighted or not, based on or developed using FRIB resources, as follows:
- Acknowledgment: "This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics and used resources of the Facility for Rare Isotope Beams (FRIB) Operations, which is a DOE Office of Science User Facility under Award Number DE-SC0023633.”
Users must submit their publication information to the DOE Energy Link (E-Link) System.
Physics of thermalization and level density in an isolated system of strongly interacting particles
doi: 10.1140/epjs/s11734-021-00079-z
The impact of (n,γ) reaction rate uncertainties of unstable isotopes on the i-process nucleosynthesis of the elements from Ba to W
doi: 10.1093/mnras/stab772
Nuclear Data Sheets for A=123
doi: 10.1016/j.nds.2021.05.001
Thin silicon solid-state detectors for energetic particle measurements: Development, characterization, and application on NASA’s Parker Solar Probe mission
doi: 10.1051/0004-6361/202039754
Vacuum system for EBIS charge breeder of the RAON heavy ion accelerator
doi: 10.1016/j.vacuum.2021.110337
The antesonic condition for the explosion of core-collapse supernovae – II. Rotation and turbulence
doi: 10.1093/mnras/stab286
Electron capture in stars
doi: 10.1088/1361-6633/abf207
The chemical signature of jet-driven hypernovae
doi: 10.1093/mnras/staa3819
Nuclear Data Sheets for A=100
doi: 10.1016/j.nds.2021.02.001
UCGretina geant4 simulation of the GRETINA Gamma-Ray Energy Tracking Array
doi: 10.1016/j.nima.2021.165305
Effective field theory for dilute Fermi systems at fourth order
doi: 10.1103/PhysRevC.104.014003
Improved naive Bayesian probability classifier in predictions of nuclear mass
doi: 10.1103/PhysRevC.104.014315
