2019
DOI: 10.1063/1.5126947
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Erratum: “Direct molecular simulation of internal energy relaxation and dissociation in oxygen” [Phys. Fluids 31, 076107 (2019)]

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Cited by 4 publications
(6 citation statements)
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“…[2][3][4][5][6][7] Therefore, molecular simulation offers an attractive theoretical alternative to experiments, particularly when employed with ab initio potential energy surfaces (PESs) that describe atomic-level interactions between the various air particles. [8][9][10][11][12][13][14][15][16] Most studies based upon these first-principles PESs have focused on kinetic processes involving internal energy relaxation and its coupling to chemical reactivity, 9,[17][18][19][20] with considerable success in validating the results with the available experimental data. However, less work has been done to investigate their ability to predict transport properties.…”
Section: Introductionmentioning
confidence: 99%
“…[2][3][4][5][6][7] Therefore, molecular simulation offers an attractive theoretical alternative to experiments, particularly when employed with ab initio potential energy surfaces (PESs) that describe atomic-level interactions between the various air particles. [8][9][10][11][12][13][14][15][16] Most studies based upon these first-principles PESs have focused on kinetic processes involving internal energy relaxation and its coupling to chemical reactivity, 9,[17][18][19][20] with considerable success in validating the results with the available experimental data. However, less work has been done to investigate their ability to predict transport properties.…”
Section: Introductionmentioning
confidence: 99%
“…14 Hamilton's equations of motion were solved in reactant Jacobi coordinates using a fourth-order Runge-Kutta method with a time step of ∆t = 0.05 fs, which guarantees conservation of the total energy and angular momentum. 13,15 For generating the training, test, and validation data set for the NN the following statespecific initial conditions were used: (0.5 ≤ E trans ≤ 8.0) eV with ∆E trans = 0.5 eV; v = [0, 2,4,6,8,10,12,15,18,21,24,27,30,34,38]; and 0 ≤ j ≤ 225 with ∆j = 15, resulting in 2184 different states. The impact parameter b was sampled from 0 to b max = 12 a 0 using stratified sampling.…”
Section: A Quasi-classical Trajectory Simulationsmentioning
confidence: 99%
“…LG values between QCT and STD predictions for the product state distributions P (E int ) , P (v ), and P (j ) for given initial (v, j). The STD model was evaluated at fixed E trans = 4.0 eV for the grid points v = [0, 2,4,6,8,10,12,14] and j = [0, 15,30,45,60,75,90,105,120,135,150,165] used for training, validation, and testing.…”
Section: Data and Code Availabilitymentioning
confidence: 99%
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