supported by the National Natural Science Foundation of China(Nos.11925108 and 11731014)。
The dimensionless third-order nonlinear Schrodinger equation(alias the Hirota equation) is investigated via deep leaning neural networks. In this paper, we use the physics-informed neural networks(PINNs) deep learning...
the support of the National Natural Science Foundation of China(No.11675054);the Shanghai Collaborative Innovation Center of Trustworthy Software for Internet of Things(Grant No.ZF1213);the Science and Technology Commission of Shanghai Municipality(No.18dz2271000)。
It has still been difficult to solve nonlinear evolution equations analytically.In this paper,we present a deep learning method for recovering the intrinsic nonlinear dynamics from spatiotemporal data directly.Specifi...
Supported by National Natural Science Foundation of China under Grant No.11675051
At low temperature and under weak magnetic field, non-interacting Fermi gases reveal both Pauli paramagnetism and Landau diamagnetism, and the magnitude of the diamagnetic susceptibility is 1/3 of that of the paramagn...
Supported by the National Natural Science Foundation of China under Grant Nos.10447007 and 10671156;the Natural Science Foundation of Shaanxi Province of China under Grant No.2005A13
Symmetry reduction of a class of third-order evolution equations that admit certain generalized conditionalsymmetries (GCSs) is implemented.The reducibility of the initial-value problem for an evolution equation to a ...
The project supported by National Natural Science Foundation of China under Grant No. 10562002 and the Natural Science Foundation of Inner Mongolia under Grant No. 200508010103
In the present paper, we identify the integrability of the third-order nonlinear evolution equation ut = (1/2)((uxz + u)^-2)z in a Hamiltonian viewpoint. We prove that the recursion operator obtained by S.Yu. S...