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19982021
most citedEffect of a Domain Wall on the Conductance Quantization in a Ferromagnetic Nanowire

26 citations · 41 across the 4 of their papers we have counts for

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physics.flu-dyn2021★ 6 cited

Physics-informed neural network applied to surface-tension-driven liquid film flows

Yo Nakamura, Suguru Shiratori, Ryota Takagi +4

A physics-informed neural network (PINN), which has been recently proposed by Raissi et al [J. Comp. Phys. 378, pp. 686-707 (2019)], is applied to the partial differential equation…