Argonne researchers demonstrate benefits of automatic differentiation in studying nuclear simulation models

January 1, 2011

Sensitivity analysis is an important tool in the study of nuclear systems. Four MCS Division researchers (with collaborators from Argonne's Nuclear Engineering Division and from Virginia Tech) demonstrated that automatic differentiation (AD) provides greater precision and computational efficiency than do traditional approaches in sensitivity analysis of nuclear simulation models. More ยป