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A nonlocal physics-informed deep learning framework using the peridynamic differential operator

https://www.researchgate.net/publication/341816480_A_nonlocal_physics-in...

 

Dear iMechanica Community: 

I am sharing with you our latest work on Physics-Informed Neural Networks (PINN) for the discovery of non-smooth problems with steep gradients (concentration) or singularity. To this end, we propose a nonlocal PINN architecture, inspired by the Peridynamic nonlocal theory, using the Peridynamic Differential Operator. 

If you are interested in deep learning for non-smooth problems with discontinuity, steep gradients, or even singularity, please check our pre-print at: 

https://www.researchgate.net/publication/341816480_A_nonlocal_physics-in...

Thanks,

Ehsan

 

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Comments

Ashkan_Golgoon's picture

Dear Ehsan,

Thanks for sharing your paper. What automatic differentiation library did you use ? Did you do numerical expermients with the common libraries? 

 

Ashkan,

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