Table 1 Description of Jobs and modules utilized for the study of adsorption.

From: Computational supported experimental insights in adsorption of Congo Red using ZnO/doped ZnO in aqueous solution

Module

Task

Frocite

Geometry optimization

Dynamics

Algorithm: Smart

Quality: Fine

Energy (kcal mol−1): 1 × 10−4

Force (kcal mol−1): 0.005

Stress (GPa): 0.005

Displacement (Å): 5 × 10−5

Max. iterations: 500

Forcefield: COMPASSII

Charges: Forcefield assigned

Electrostatic: Atom Based

Van der Waals: Atom Based

Temperature: 298.0 K

Pressure: 1 bar

Ensemble: NVT

Quality: Fine

Initial velocities: Random

Temperature: 298.15

Time step: 0.5 fs

Total simulation time: 1000ps

Number of steps: 2,000,000

Frame output every: 5000 steps

Thermostat: Nose

Q ratio: 0.01

Forcefield: COMPASSII

Charges: forcefield Assigned

Electrostatics: Ewald based

Van der Waals: Atom based

Adsorption locator

Task: Simulated annealing

Number of cycles: 5

Steps per cycle: 50,000

Automated temperature control: Yes

Monte Carlo options

Conformer: 1

Rotate: 1

Translate: 1

Regrow: 0.1

Quality: fine

Adsorbate: CR

Forcefield: COMPASSII

Charges: forcefield assigned

Electrostatics: atom-based

Van der Waals: Atom based

 

Amorphous cell

Task: Packing

Quality: Fine

Density: 2.3 g/cc

Bias Temperature: 298 K

Segment lookahead: 1

Loading steps: 1000

Optimize geometry: Yes

Forcefield: COMPASSII

Charges: Forcefield assigned

Electrostatics: Ewald based

Van der Waals: Atom based

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