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Solving Partial Differential Equations Using Deep Learning and Physical Constraints
2020
Applied Sciences
The various studies of partial differential equations (PDEs) are hot topics of mathematical research. Among them, solving PDEs is a very important and difficult task and, since many partial differential equations do not have analytical solutions, numerical methods are widely used to solve PDEs. Although numerical methods have been widely used with good performance, researchers are still searching for new methods for solving partial differential equations. In recent years, deep learning has
doi:10.3390/app10175917
fatcat:wlhw63csmvabjb37fhpdrmi6qe