315 citations
- M. Lakshmanan5 profiles73 · h 53
- Paulsamy Muruganandam2 profiles35 · h 24
- M. Senthilvelan4 profiles32 · h 31
- V. K. Chandrasekar2 profiles27 · h 24
- D. Senthilkumar12 · h 21
- P. K. Mishra12 · h 4
- A. Venkatesan2 profiles10 · h 18
- R. Gopal2 profiles10 · h 10
- A. Govindarajan8 · h 9
- T. Kanna2 profiles7 · h 22
- K. Manikandan2 profiles6 · h 14
- S. Arumugam2 profiles6 · h 27
- SASTRA UniversityIN24 papers
- Universidade Estadual Paulista (Unesp)BR10 papers
- Indian Institute of Technology GuwahatiIN9 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN6 papers
- Anna University, ChennaiIN5 papers
- Indian Statistical InstituteIN5 papers
- Institute of Physics BelgradeRS5 papers
- National Institute of Technology TiruchirappalliIN5 papers
- SRM Institute of Science and TechnologyIN5 papers
- University of BelgradeRS5 papers
- Amrita Vishwa VidyapeethamIN4 papers
- Indian Institute of Science BangaloreIN4 papers
15 papers · 1 filter
Spin Torque Oscillations Triggered by In-plane Field
R. Arun, R. Gopal, V. K. Chandrasekar +1
We study the dynamics of a spin torque nano oscillator that consists of parallelly magnetized free and pinned layers by numerically solving the associated Landau-Lifshitz-Gilbert-S…
Spin-transfer torque driven localized spin excitations in the presence of field-like torque
M. Lakshmanan, R. Arun, Avadh Saxena
We study the existence of localized one-spin excitation in the Heisenberg one-dimensional ferromagnetic spin chain in the presence of perpendicular and parallel external magnetic f…
Constant Bias and Weak Second Periodic Forcing : Tools to Mitigate Extreme Events
S. Sudharsan, A. Venkatesan, M. Senthilvelan
We propose two potentially viable non-feedback methods, namely (i) constant bias and (ii) weak second periodic forcing as tools to mitigate extreme events. We demonstrate the effec…
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…
Rogue waves on an elliptic function background in complex modified Korteweg-de Vries equation
N. Sinthuja, K. Manikandan, M. Senthilvelan
With the assistance of one fold Darboux transformation formula, we derive rogue wave solutions of the complex modified Korteweg-de Vries equation on an elliptic function background…
Emergence and mitigation of extreme events in a parametrically driven system with velocity-dependent potential
S. Sudharsan, A. Venkatesan, P. Muruganandam +1
In this paper, we discuss the emergence of extreme events in a parametrically driven non-polynomial mechanical system with a velocity-dependent potential. We confirm the occurrence…