🧠 Scientific Machine Learning, FEM + ML, PINNs - Ehsan Haghighat | Podcast #79

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  • Опубліковано 22 лип 2024
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    🌎 Website: jousefmurad.com
    Dr. Ehsan Haghighat is a Postdoctoral Fellow at UBC studying stochastic modeling and uncertainty quantification of engineering systems. Previously, he was a Postdoctoral Associate at MIT where he studied the assessment of induced seismicity due to CO2 sequestration and oil and gas injection and production, Stochastic Modeling, and Machine Learning.
    He received his Ph.D. from McMaster University specializing in Computational Geomechanics. His research interests include computational methods for the mechanics of solids and porous media, stochastic modeling and uncertainty quantification, and machine learning of engineering systems.
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    TIME STAMPS
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    0:00 : Intro
    6:20 : How to combine FEM + ML
    13:04 : SciAnn
    21:19 : Output of the NN
    22:05 : Can someone adapt the output parameters?
    23:14 : PINN vs. Classic Approach - TIme Saving
    27:16 : Why PINNs?
    31:09 : SciAnn - A Black Box?
    33:06 : XAI for PINNs
    34:32 : SciAnn in the Future
    38:58 : Ehsan's other projects
    48:37 : FEM & CFD - Transfer Learning Using Only Weights?
    51:54 : SciAnn - No Big Workstation Needed :)
    53:14 : Resources Ehsan Uses to Stay Up-To-Date
    55:01 : Closing Remarks
    Podcast Recorded: August, 11th 2021 - Subscriber Release Count: 18,466.

КОМЕНТАРІ • 14

  • @JousefM
    @JousefM  Рік тому

    👉Science Academy: courses.jousefmurad.com/
    🌎Website: jousefmurad.com
    📥 Science Sunday Newsletter: jousef.substack.com/

  • @Niamato_inc
    @Niamato_inc 3 місяці тому

    Thank you wholeheartedly Josef. This was extremely insightful.

  • @ramdhiwakarseetharaman5989
    @ramdhiwakarseetharaman5989 Рік тому

    Awesome topic ! As someone who studies Computation Mechanics, I find this very useful

    • @JousefM
      @JousefM  Рік тому

      Thanks for your feedback 🙂

  • @katayooneshkofti7981
    @katayooneshkofti7981 Рік тому

    Thank you for sharing this magnificent episode; Ehsan Haghighat is one of the scientists I should appreciate. Whenever I had questions about the application of SciANN on a given problem, he answered patiently and gracefully.

    • @JousefM
      @JousefM  Рік тому

      Thanks for the kind feedback! Definitely open to do a second round with him 🙂

    • @katayooneshkofti7981
      @katayooneshkofti7981 Рік тому

      @@JousefM I look forward to it.

  • @backbench3rs659
    @backbench3rs659 Рік тому

    can you share the paper link where he say that is the beginner for FEM and PINNS

  • @rohitavadhani6995
    @rohitavadhani6995 Рік тому

    I have a some data regarding non linear vibrations. I am working on making a PINN for that purpose.

  • @ovrosparrow3948
    @ovrosparrow3948 Рік тому

    Can u plz provide me road map for ml+cfd as a beginner? Any courses available?

    • @JousefM
      @JousefM  Рік тому

      Coming soon! I am currently gathering a few resources. Hope to publish it on my blog at some point.
      🌎Website: www.jousefmurad.com/#/portal/signup

  • @BassJournal
    @BassJournal Рік тому

    Could you please write the name of the professor he mentions at 10:35 ?

  • @Chinmay_9812
    @Chinmay_9812 2 місяці тому

    What do you think AI will going to take jobs of cae engineers?
    If yes what a person should acquire skill for future ready to tackle such situation.What do you think AI will going to take jobs of cae engineers?
    If yes what a person should acquire skill for future ready to tackle such situation.