1. Clarifying the composition of the system
Description of the quantity of solvents, solvents, ion, material surfaces, membranes, polymers or molecules, with concentration, proportion, box size and initial configuration requirements.
2. Identification of force fields and parameters sources
Common systems can use mature power fields; Special molecules, materials or response systems may require additional parameterization. The source and compatibility of parameters will have a direct impact on credibility.
3. Definition of simulation processes
Usually include energy minimization, balance and production simulations.. Temperature, pressure, boundary conditions, constraints, length of time, total length and number of repetitions should be specified.
4. Designation of desired statistics
For example, density, RDF, hydrogen keys, diffusion factor, presence time, adsorption probability, concentration distribution, free energy, concentration behaviour or amplification event. Different indicators require different lengths of sampling.
5. Retention of validation and sensitivity analysis
The assessment of stability can be verified by repeated simulations, different initial configurations, comparison of parameters and cross-validation of experimental results.
Availability of system composition and target indicators
Evaluation of models, resources and cycles according to system size and sampling requirements.

AI / Simulation
Characterization & Testing