Thanks for this explanatory video, very useful. And interesting also the last part, with reflections on ML in CFD. One question: have you already done any Dakota-related video in which you explain how to handle failed analyses? (I mean analyses that have been invoked by Dakota during the optimization loop but that for whatever reason didn't complete as expected)
Hi, no I haven't done the video for failured simulations. Good suggestion, I will work on that. That should be a problem if your are doing DACE/DOE, if you are using gradient based methods, that could be tricky.
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What is your opinion on the role of AI/ML in CFD with current computational hardware?
Thanks for this explanatory video, very useful. And interesting also the last part, with reflections on ML in CFD.
One question: have you already done any Dakota-related video in which you explain how to handle failed analyses? (I mean analyses that have been invoked by Dakota during the optimization loop but that for whatever reason didn't complete as expected)
Hi, no I haven't done the video for failured simulations. Good suggestion, I will work on that. That should be a problem if your are doing DACE/DOE, if you are using gradient based methods, that could be tricky.
thanks....! Found it useful.
more to come
thank you very much for your contribution!
glad you found it useful