404 citations
- V. K. Chandrasekar3 profiles63 · h 24
- M. Lakshmanan4 profiles41 · h 53
- M. Senthilvelan17 · h 31
- R. Gopal2 profiles16 · h 10
- D. Senthilkumar14 · h 21
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- R. Suresh2 profiles10 · h 9
- R. Arun8 · h 4
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- Bharathidasan UniversityIN49 papers
- Indian Institute of Science Education and Research ThiruvananthapuramIN12 papers
- National Institute of Technology TiruchirappalliIN6 papers
- Anna University, ChennaiIN3 papers
- Humboldt-Universität zu BerlinDE3 papers
- Potsdam Institute for Climate Impact ResearchDE3 papers
- Bishop Heber CollegeIN2 papers
- Czech Technical University in PragueCZ2 papers
- KCG College of TechnologyIN2 papers
- Pondicherry UniversityIN2 papers
- Ramakrishna Mission VidyamandiraIN2 papers
- Ramakrishna Mission Vivekananda Educational and Research InstituteIN2 papers
95 papers
Emergence of solitary and chimera states in adaptive pendulum networks under diverse learning rules
R. Anand, V. K. Chandrasekar, R. Suresh
We investigate the interplay between phase lag and adaptive learning rules in a network of identical pendulum oscillators, where the coupling strengths evolve dynamically in respon…
Self-oscillations induced by self-induced torque in magnetic double tunnel junction
R. Arun, R. Gopal, V. K. Chandrasekar +1
Self-oscillations of the magnetization due to self-induced torque (SIT) in a magnetic double tunnel junction that consists of perpendicularly polarized, pinned and free layers is i…
Modulation of quantum geometry and its coupling to pseudo-electric field by dynamic strain
Surat Layek, Mahesh A. Hingankar, Ayshi Mukherjee +11
Two-dimensional materials are a fertile ground for exploring quantum geometric phenomena, with Berry curvature and its first moment, the Berry curvature dipole, playing a central r…
Multivariate time series prediction using clustered echo state network
S. Hariharan, R. Suresh, V. K. Chandrasekar
Many natural and physical processes can be understood by analyzing multiple system variables evolving, forming a multivariate time series. Predicting such time series is challengin…
Heterogeneous noise-induced extreme events and synchronization in a globally coupled network of FitzHugh-Nagumo oscillators
S. Hariharan, R. Suresh, V. K. Chandrasekar
This study investigates the dynamics of a globally coupled network of heterogeneous FitzHugh Nagumo (FHN) oscillators under stochastic influences, with particular emphasis on the e…
Mathematical Framework for Custom Reward Functions in Job Application Evaluation using Reinforcement Learning
Shreyansh Jain, Madhav Singhvi, Shreya Rahul Jain +4
Most of the traditional Applicant Tracking Systems (ATS) depend on strict matching using keywords, where candidates that are highly qualified are many times disqualified because of…