Physics Informed Machine Learning / an Overview of AI and ML in Science and Engineering Simulations

#simulation #pinns #engineering #nvidia #machinelearning #technology
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Physics Informed Neural Networks (PINNs)
Inverse Physics Informed Neural Networks (I-PINNs)
Simulation By Deep Neural Operator (DeepONets)
PINNs Using NVIDIA Modulus
NVIDIA Modulus: Advanced Topics
Machine Learning For Engineering : A-Z

[@omarkhedr8955]

In which course you provide this vedio ?

[@Dr.Mohammad_Samara]

Dear sir please find the following about our courses:
Hope you can enjoy our courses in our Podia platform:
www.courses.machinedecision.com/

[@Dr.Mohammad_Samara]

Hope you can enjoy our courses in our Podia platform:
www.courses.machinedecision.com/

[@Dr.Mohammad_Samara]

Hope you can enjoy our courses in our Podia platform:
Apply "A320" Coupon to get a 25% discount, the first 100 students will get such discount.
www.courses.machinedecision.com/

[@GyovanneMatuchaki]

630 / 5,000
Hello Dr.Samara, I am about to defend my master's pre-project in PINN here in Brazil, and I would like to thank you for the teachings and knowledge shared in the course, which were very important and the basis for my studies. I will finish my master's thesis using the DEEPXDE library, as presented in your base course, I would like to know if it is worth transitioning to NVIDIA Modulus in the future. Another question, do you have any tips for when the PINN's PDE shows discontinuity? as conditionals like: Y:x>0 or X

[@Dr.Mohammad_Samara]

Dear mr.Gyovanne
I know you, and I am very happy to see that you finished successfully your masters program, with such challenging topic to get your masters.
For the discontinuity problems, in general PINNs behavior can be changed by adding wights to the values of loss you have for example if you see the issue in discontinuity came as a result of the conversation part of the N.S equation you might damb the solution a bit during the early part of the optimization and later change the weight to get a smoother conversation to the solution this is a strong way to control the PINNs behavior but you can do other things such as the data points count increase near the problem area or you can also keep updating the B.C and I.C data count increase to force the conversionce into the direction of solving the problem and avoiding any possible issue.
Good luck and hope you the best, I think if you want to continue PhD it will be a good idea to get things progressing in PINNs and research more and know more about these hidden behaviors and applications.

[@GyovanneMatuchaki]

@@Dr.Mohammad_Samara Thank you very much for the response! I will follow your advice!
Yes, I am going to pursue my PhD with PINN and other related machine learning techniques applied in the context of physics and engineering fluid mechanics and rheology! We are creating a small research group and contacting other universities to develop this research area here in southern Brazil!
I will be back soon to share how things are going here!
I have already acquired the your introductory courses on Nvidia Modulus and DeepOnets to expand my range of tools and repertoire! Thanks again and see you soon!!

[@Dr.Mohammad_Samara]

Thank you very much for your comment, I hope you the best of luck in your PhD it is important jurny in a researchers life and an opportunity to dedicate time and attention to learning and innovation.

[@Mr_K283]

hello i tried to purchase Inverse PINNs from your website but it wasn’t successful. it says access denied.

[@Dr.Mohammad_Samara]

Hello, not sure what happen but first you need to confirm your email via a code after that you need to pay by visa, if that didn't work I will check and ask podia for support.