Table 4 Summary of predicted interaction parameters from machine-learned coarse-grained (MLCG) model of PTMO.

From: A machine learning enabled hybrid optimization framework for efficient coarse-graining of a model polymer

 

Functional form

CG parameters

Present work (MLCG)

Literature (IBI)

Bonded (bottom-up)

\({U}_{{\rm {stretch}}}(r)={k}_{l}\cdot {(l-{l}_{0})}^{2}\)

l0 (Ã…)

5.07

4.98

  

kl (kcal/mol Å2)

35.95

3.03

 

\({U}_{{\rm {bend}}}(\theta )={k}_{\theta }\cdot {(\theta -{\theta }_{0})}^{2}\)

θ0 (deg)

146.11

169.5

  

kθ (kcal/mol rad2)

1.21

0.64

Nonbonded (top-down)

\({U}_{{\rm {nonb}}}({r}_{ij})=4{\epsilon }_{ij}\left[{\left(\frac{{\sigma }_{ij}}{{r}_{ij}}\right)}^{12}-{\left(\frac{{\sigma }_{ij}}{{r}_{ij}}\right)}^{6}\right]\)

σ

4.82

− 

  

ϵ

0.73

−