PDE learning is an emerging field that combines physics and machine lear...
We perform bifurcation analysis of a two-dimensional magnetic
Rayleigh-B...
We present a data-driven approach to mathematically model physical syste...
Discovering hidden partial differential equations (PDEs) and operators f...
Given input-output pairs from a parabolic partial differential equation ...
We introduce a numerical technique for controlling the location and stab...
Many problems in engineering can be understood as controlling the bifurc...
The randomized singular value decomposition (SVD) is a popular and effec...
There is an opportunity for deep learning to revolutionize science and
t...
We develop a spectral method for solving the incompressible generalized
...
We perform a bifurcation analysis of the steady state solutions of
Rayle...
Mathematical modelling of ionic electrodiffusion and water movement is
e...
Given input-output pairs of an elliptic partial differential equation (P...
We consider neural networks with rational activation functions. The choi...
A collection of algorithms in object-oriented MATLAB is described for
nu...