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.
Bayesian inference of nuclear-matter density from proton scattering
doi: 10.1103/bl94-brh6
Star Log-extended eMulation: A method for efficient computation of the Tolman-Oppenheimer-Volkoff equations
doi: 10.1103/5p3h-b8rf
Proton irradiation induced defect analysis in wide-bandgap semiconductors: Optical and structural characterization of SiC and diamond for potential Cherenkov radiators
doi: 10.1063/5.0295486
Impacts of the Metagalactic Ultraviolet Background on Circumgalactic Medium Absorption Systems
doi: 10.3847/1538-4357/adfc4e
Precision Mass Measurements around 84Mo Rule Out ZrNb Cycle Formation in the Rapid Proton-Capture Process at Type I X-Ray Bursts
doi: 10.1103/2dyn-q7wp
Anode sensitivity calibration of photomultiplier tubes used as a readout of the ELOSS detector
doi: 10.1088/1748-0221/20/10/P10007
Cabibbo-Kobayashi-Maskawa unitarity deficit reduction via finite nuclear size
doi: 10.1103/z8g6-9j25
Low-AC-Loss Nb3Sn Validation Model Coil in Solid Nitrogen for a Fast-Switching-Field MRI Magnet Prototype
doi: 10.1109/TASC.2025.3614571
Lattice Effective Field Theory Simulations of Nuclei
doi: 10.1146/annurev-nucl-101918-023343
Triaxiality and shape dynamics in 70Ge
doi: 10.1103/cmks-jst1
Genetic programming for the nuclear many-body problem: a guide
doi: 10.1088/1361-6471/ae0b98
Deep learning of phase transitions with minimal examples
doi: 10.1103/wjvx-5nk7