This paper presents a new approach for finding exact solutions to certain classes of nonlinear partial differential equations (NLPDEs) by combining the variation of parameters method with classical ...
Physics-informed neural network has emerged as a promising approach for solving partial differential equations. However, it is still a challenge for the computation of structural mechanics problems ...
Announcing a new publication from Opto-Electronic Advances; DOI 10.29026/oea.2026.250244. Based on the tunable liquid crystal platform, arbitrary function parallel input and differential equation ...
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