# Ansys Meeting

06-26-2025

## Participants

- Daniel Wheeler
- Dilip Banerjee
- Jon Guyer
- Trevor Keller

## What are we meting about?

- Optislang:
- This is some sort of workflow tool that makes using the Ansys suite easier?
- software for DT
- workflow product?
- Understand how the tools work together
- What demos do they have available?
- Do we want the Optislang tool?
- how does optislang work with AM module for ANSYS is called additive-science???
- Does it have data assimilation built in to Optislang
- integrated processing
- additive suite
- additive-prep
- additive-science
- workbench-additive

## Questions?

- What are the rules regarding generating surrogate models with ANSYS?
- Does their DT work at different time scales?
- how to integrate a observational data in the DT
- What is Optislang?
- Are there any micro scale models?
- Are there links with calphad?
- Can we deploy on cluster easily?
- What are they working on with EL? Shengyen?
- Where are the synergies between their workflow and our notion of a DT?
- How would you link this with ExaCA for example?
- Can that be done with PyAnsys
- Does this suite work with PyAnsys?
- Do they have limits on what data we can use to train a surrogate model?
- How does the Optislang tool work with ANSYS AM Module
- How does Optislang work with PyAnsys
- Could you take the MOP model and use it externally
- Does the meta model require a licese to run it?

## Notes

- Define parameters in Optislang
- Inverse problem
- LBDM???
- AMOB???
- addaptive metamodel of something
- active learning
- does this give uncertainty
- is this active learning?
- coefficient of prognosis (or something like that)?
- fit the statistical model to the model
- optislang is not included in addtivie-suite