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. 2019 Jan 22;10:379. doi: 10.1038/s41467-018-08222-6

Table 3.

Force field parameters of ML models optimized using our developed workflow

ML-BOP
 m a Gamma a λ3−1) a
1.0 1.0 0.0
 C d cosθ0 n β
77638.534354 16.148387 −0.471029 0.770018 1e-06
 λ2−1) B (eV) R (Å) D (Å) λ1−1) A (eV)
2.199640 473.621419 3.282761 0.270511 2.750522 1684.301476
ML-BOP dih
 m a Gamma a λ3−1a
1.0 1.0 0.0
 C d cosθ0 n β
77638.534354 16.148387 −0.471029 0.770018 1e-06
λ2−1) B (eV) R (Å) D (Å) λ1−1) A (eV)
2.199640 473.621419 3.282761 0.270511 2.750522 1684.301476
cosθ1a cosθ1b cosθ2a cosθ2b kdih (eV) p
0.156434 0.017452 −0.390731 −0.5 0.2e-3 8
ML-mW  b
 ϵ (eV) σ (Å) a λ γ cosθ0
0.297284 1.884015 2.124872 24.673877 1.207943 −0.279667
 A B p q tol a
7.111598 1.991526 4.011214 0.0 0.0

aParameters that are not optimized in our ML workflow

bSee Supplementary Equation 13 for the functional form (Stillinger-Weber, same as mW10)