Suchergebnisse - "Pavithran, Induja"

Early warnings are too late when parameters change rapidly.

Autoren: Radhakrishnan, Rohit Pavithran, Induja Livina, Valerie et al.

Quelle: Scientific Reports; 6/23/2025, Vol. 15 Issue 1, p1-11, 11p

Schlagwörter: WARNINGS, TUBES, HUMAN beings

Explosive synchronization in a turbulent reactive flow system.

Autoren: Joseph, Amal Pavithran, Induja Sujith, R. I.

Quelle: Chaos; Feb2024, Vol. 34 Issue 2, p1-12, 12p

Schlagwörter: REACTIVE flow, TURBULENT flow, TURBULENCE, HEAT release rates, SYNCHRONIZATION

Early warnings of tipping in a non-autonomous turbulent reactive flow system: Efficacy, reliability, and warning times.

Autoren: Banerjee, Ankan Pavithran, Induja Sujith, R. I.

Quelle: Chaos; Jan2024, Vol. 34 Issue 1, p1-12, 12p

Schlagwörter: SOUND pressure, REACTIVE flow, REYNOLDS number, TURBULENT flow, TURBULENCE

Tipping in complex systems under fast variations of parameters.

Autoren: Pavithran, Induja Midhun, P. R. Sujith, R. I.

Quelle: Chaos; Aug2023, Vol. 33 Issue 8, p1-10, 10p

Schlagwörter: HOPF bifurcations, NONLINEAR oscillators

Optimal state space reconstruction via Monte Carlo decision tree search.

Autoren: Kraemer, K. Hauke Gelbrecht, Maximilian Pavithran, Induja et al.

Quelle: Nonlinear Dynamics; Apr2022, Vol. 108 Issue 2, p1525-1545, 21p

Extreme COVID-19 waves reveal hyperexponential growth and finite-time singularity.

Autoren: Pavithran, Induja Sujith, R. I.

Quelle: Chaos; Apr2022, Vol. 32 Issue 4, p1-12, 12p

Schlagwörter: COVID-19, ROGUE waves, INFECTIOUS disease transmission, COVID-19 pandemic, EPIDEMICS

Critical transitions and their early warning signals in thermoacoustic systems.

Autoren: Pavithran, Induja Unni, Vishnu R. Sujith, R. I.

Quelle: European Physical Journal: Special Topics; Oct2021, Vol. 230 Issue 16/17, p3411-3432, 22p

Schlagwörter: LIMIT cycles, WARNINGS

Deep learning for early warning signals of tipping points.

Autoren: Bury, Thomas M. Sujith, R. I. Pavithran, Induja et al.

Quelle: Proceedings of the National Academy of Sciences of the United States of America; 9/28/2021, Vol. 118 Issue 39, p1-9, 9p

Schlagwörter: DEEP learning, SENSITIVITY & specificity (Statistics), ALGORITHMS, MACHINE learning, DYNAMICAL systems

Convolutional neural networks to predict the onset of oscillatory instabilities in turbulent systems.

Autoren: Ruiz, Eustaquio A. Unni, Vishnu R. Pavithran, Induja et al.

Quelle: Chaos; Sep2021, Vol. 31 Issue 9, p1-9, 9p

Schlagwörter: CONVOLUTIONAL neural networks, PHASE space, DYNAMICAL systems, FLUID flow, PHENOMENOLOGICAL theory (Physics), FLUTTER (Aerodynamics)

Effect of rate of change of parameter on early warning signals for critical transitions.

Autoren: Pavithran, Induja Sujith, R. I.

Quelle: Chaos; Jan2021, Vol. 31 Issue 1, p1-13, 13p

Schlagwörter: HOPF bifurcations, DYNAMICAL systems, WARNINGS, FRACTAL analysis

Recurrence analysis of slow–fast systems.

Autoren: Kasthuri, Praveen Pavithran, Induja Krishnan, Abin et al.

Quelle: Chaos; Jun2020, Vol. 30 Issue 6, p1-13, 13p, 3 Diagrams, 9 Graphs

Schlagwörter: SYSTEM analysis, SPACE trajectories, PHASE space

Dynamical systems approach to study thermoacoustic transitions in a liquid rocket combustor.

Autoren: Kasthuri, Praveen Pavithran, Induja Pawar, Samadhan A. et al.

Quelle: Chaos; Oct2019, Vol. 29 Issue 10, pN.PAG-N.PAG, 18p, 1 Chart, 15 Graphs

Schlagwörter: COMPUTATIONAL fluid dynamics, REACTIVE flow, SELF-induced vibration, SOUND pressure, COMBUSTION chambers, COMPLEXITY (Philosophy), LIMIT cycles, DYNAMICAL systems

Universality in spectral condensation.

Autoren: Pavithran, Induja Unni, Vishnu R. Varghese, Alan J. et al.

Quelle: Scientific Reports; 10/15/2020, Vol. 10 Issue 1, pN.PAG-N.PAG, 1p

Schlagwörter: SPECTRAL energy distribution, DYNAMICAL systems, RAYLEIGH-Benard convection, ELECTRONIC systems, BOSE-Einstein condensation