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Predicción de la sincronización y la muerte por oscilación con computación de reservorio en paralelo
Swati Chauhan1, Umesh Kumar Verma1, Swarnendu Mandal2
1Central University of Rajasthan, Department of Physics, Rajasthan, Ajmer-305 817, India.
Physical review. E
|December 23, 2025
Resumen
La computación de reservorio paralela consciente de los parámetros predice con precisión las transiciones críticas en redes multicapa. Este método pronostica la transferencia de fenómenos y la muerte por oscilación, ofreciendo información sobre la dinámica de sistemas complejos.
Área de la Ciencia:
- Sistemas Complejos
- Dinámica No Lineal
- Neurociencia Computacional
Sus antecedentes:
- La computación de reservorio es un marco poderoso para predecir transiciones críticas en sistemas dinámicos.
- Las redes multicapa exhiben dinámicas complejas influenciadas por distintos mecanismos de acoplamiento.
- La comprensión de los fenómenos emergentes y las transiciones en estas redes es crucial.
Objetivo del estudio:
- Emplear la computación de reservorio paralela consciente de los parámetros para predecir la dinámica en una red multiplex de dos capas.
- Investigar los efectos del acoplamiento atractivo y repulsivo en la sincronización y la muerte por oscilación.
- Predecir con precisión los valores críticos de los parámetros para la transferencia de fenómenos entre capas.
Principales métodos:
- Se utilizó un esquema de computación de reservorio paralela consciente de los parámetros con dos reservorios, uno para cada capa.
- Se modeló una red multiplex de dos capas con acoplamiento atractivo en la primera capa y acoplamiento repulsivo en la segunda.
- Se analizó la transferencia de fenómenos colectivos emergentes y se indujo la muerte por oscilación.
Principales resultados:
- Se predijeron con precisión los valores críticos de los parámetros para la transferencia de fenómenos dinámicos entre las capas de la red.
- Se observó que el acoplamiento intercapa puede conducir a la muerte por oscilación simultánea en ambas capas.
- Se demostró la capacidad de la computación de reservorio para pronosticar transiciones en sistemas multicapa.
Conclusiones:
- La computación de reservorio paralela consciente de los parámetros es eficaz para predecir transiciones críticas en redes multicapa.
- El acoplamiento intercapa juega un papel importante en los fenómenos emergentes, incluida la sincronización y la muerte por oscilación.
- Este enfoque ofrece información valiosa para pronosticar transiciones en sistemas dinámicos complejos.
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