  In computational materials science, predicting the yield strain of
crosslinked polymers remains a challenging task. A common approach is to
identify yield via the first critical point of stress-strain curves produced by
molecular dynamics simulations. However, the simulated data can be excessively
noisy, making it difficult to extract meaningful results. In this work, we
discuss an alternate method for identifying yield on the basis of residual
strain computations. Notably, the associated raw data produce a sharper signal
for yield through a transition in their global behavior. As we show, this
transition can be analyzed in terms of simple functions (e.g. hyperbolas) that
admit straightforward uncertainty quantification techniques.

Soft Condensed Matter