Dear Andrew, Thank you for the explanation. I have read the ADE XL manual and found our that I can define model files as parameters as well. So, I think another work around would be to implement a custom menu in ADE-XL environment that checks for the Montecarlo parameters (specifically number of points/samples) and using this custom implemented menu I generate as many models (with varying model parameters) as defined in Montecarlo samples. Then I run my simulation by iterating over each model. In the end the flow would be: - Include model libraries as parameterized model i.e. VAR("myModelFile") - Set Montecarlo Parameters (X samples/ Points) - Generate X models using SKILL - Python - Run simulation by iterating over python generated model files What do you think?. Will this approach work? Regards, Farhan![]()
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