A tutorial on Bayesian parameter estimation, model selection, and extrapolation with uncertainty for temperature-dependent diffusion and conductivity data from molecular dynamics.
For extrap- olation far from the measured range, parameter uncer- tainty typically dominates, so this distinction is rarely important in practice
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mtrl-sci 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Bayesian Methods for the Investigation of Temperature-Dependence in Conductivity
A tutorial on Bayesian parameter estimation, model selection, and extrapolation with uncertainty for temperature-dependent diffusion and conductivity data from molecular dynamics.