most citedData driven soliton solution of the nonlinear Schrödinger equation with certain -symmetric potentials via deep learning

25 citations · 48 across the 3 of their papers we have counts for

collaborators

3 papers

nlin.PS2022★ 25 cited

Data driven soliton solution of the nonlinear Schrödinger equation with certain -symmetric potentials via deep learning

J. Meiyazhagan, K. Manikandan, J. B. Sudharsan +1

We investigate the physics informed neural network method, a deep learning approach, to approximate soliton solution of the nonlinear Schrödinger equation with parity time symmetri…

cs.LG2022

Prediction of chaotic attractors in quasiperiodically forced logistic map using deep learning

J. Meiyazhagan, M. Senthilvelan

We forecast two different chaotic dynamics of the quasiperiodically forced logistic map using the well-known deep learning framework Long Short-Term Memory. We generate two data se…

cs.LG2021★ 23 cited

Model-free prediction of emergence of extreme events in a parametrically driven nonlinear dynamical system by Deep Learning

J. Meiyazhagan, S. Sudharsan, M. Senthilvelan

We predict the emergence of extreme events in a parametrically driven nonlinear dynamical system using three Deep Learning models, namely Multi-Layer Perceptron, Convolutional Neur…