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20152023
most citedAdaptive activation functions accelerate convergence in deep and physics-informed neural networks

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cond-mat.mtrl-sci2021★ 124 cited

A physics-informed neural network for quantifying the microstructure properties of polycrystalline Nickel using ultrasound data

Khemraj Shukla, Ameya D. Jagtap, James L. Blackshire +2

We employ physics-informed neural networks (PINNs) to quantify the microstructure of a polycrystalline Nickel by computing the spatial variation of compliance coefficients (compres…