Analysis of Conjugate heat transfer using Physics Informed Neural Network(PINN's)
Budget: ₹400 – ₹750 INR
I am looking for a freelancer who can perform an analysis of Conjugate heat transfer on a natural convection heat exchanger( either square or rectangular in shape) using Physics Informed Neural Network (PINN's). The following requirements must be met:
Tasks:- 1) The model should be made in Ansys Fluent
2) After studying the model, the same should be programmed in python using PINN's
3) If possible, do a random forest algorithm to find out the loss function
Accuracy: The desired accuracy level for the analysis is medium.
Software: The analysis must be performed using Jupyter or Visual Studio code.
Deadline: The project must be completed within 1-2 weeks. There should be a report on progress each day(if possible)
Ideal Skills and Experience:
- Experience with Conjugate heat transfer analysis using Physics Informed Neural Network (PINN's).
- Strong knowledge and experience with Machine Learning, Python, CFD and Ansys Fluent.
- Ability to deliver high-quality work within tight deadlines.
- Strong analytical and problem-solving skills.
Tasks:- 1) The model should be made in Ansys Fluent
2) After studying the model, the same should be programmed in python using PINN's
3) If possible, do a random forest algorithm to find out the loss function
Accuracy: The desired accuracy level for the analysis is medium.
Software: The analysis must be performed using Jupyter or Visual Studio code.
Deadline: The project must be completed within 1-2 weeks. There should be a report on progress each day(if possible)
Ideal Skills and Experience:
- Experience with Conjugate heat transfer analysis using Physics Informed Neural Network (PINN's).
- Strong knowledge and experience with Machine Learning, Python, CFD and Ansys Fluent.
- Ability to deliver high-quality work within tight deadlines.
- Strong analytical and problem-solving skills.