Bio
Developing theory and codes of nuclear cross sections as well as their uncertainties for nuclear data evaluations of thermal neutron scattering, resolved as well as unresolved resonances regions, optical potentials, and direct-semidirect neutron capture cross sections. Developing a Bayesian formalism for imperfect models or data for the next generation of uncertainty quantification (UQ) of differential cross sections and integral benchmarks. Exploring applications of Bayesian Machine Learning with UQ for scientific discovery from nuclear data.
Publications
July 2016
Journal: Nuclear Science and Engineering
September 2012
Journal: Physical Review C
May 2012
Conference Paper
August 2011
Journal: Journal of the Korean Physical Society
November 2010
Journal: Physical Review C