Piezoelectric semiconductors(PSs)possess the characteristics of coexistence of piezoelectric and semiconductor properties and have broad application prospects in new multifunctional electronic/optoelectronic devices.It is very important to theoretically analyze multi-field coupling mechanical responses of PS structures under external loads.However,the governing equations describing the multi-field coupling mechanical behav-iors of PS structures contain physically nonlinear current equations.On the other hand,many semiconductor devices typically operate under large deformation,which raises a geometrically nonlinear problem.The pres-ence of physical and geometric nonlinearity poses challenges to the solution of the problem.Herein,for PS beam structures,a method based on physics informed neural networks(PINNs)was established to efficiently solve their nonlinear multi-field coupling responses.Through successive elimination of carrier-related terms and piezoelectricity-related terms from the constructed PINNs,the proposed method can be reduced to the cases of piezoelectric and pure elastic structures,respectively.With the proposed PINNs,the multi-field coupling re-sponses of a PS beam under static uniform pressure were predicted.Numerical results show that,the proposed method can effectively solve the nonlinear multi-field coupling problems of the PS,piezoelectric and pure elas-tic structures.Relatively,it exhibits higher accuracy in solving piezoelectric and pure elastic structures.
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