Predicting discrete-time bifurcations with deep learning
Many natural and man-made systems are prone to critical transitions—abrupt and potentially
devastating changes in dynamics. Deep learning classifiers can provide an early warning …
devastating changes in dynamics. Deep learning classifiers can provide an early warning …
Crop booms as regime shifts
V Junquera, M Schlüter, J Rocha… - Royal Society …, 2024 - royalsocietypublishing.org
A crop boom is a sudden, nonlinear and intense expansion of a new crop. Despite their
large impacts, boom-bust dynamics are not well understood; booms are largely …
large impacts, boom-bust dynamics are not well understood; booms are largely …
Universal early warning signals of phase transitions in climate systems
The potential for complex systems to exhibit tipping points in which an equilibrium state
undergoes a sudden and often irreversible shift is well established, but prediction of these …
undergoes a sudden and often irreversible shift is well established, but prediction of these …
A systems framework for remedying dysfunction in US democracy
Democracy often fails to meet its ideals, and these failures may be made worse by electoral
institutions. Unwanted outcomes include elite polarization, unresponsive representatives …
institutions. Unwanted outcomes include elite polarization, unresponsive representatives …
Modular tipping points: How local network structure impacts critical transitions in networked spin systems
Critical transitions describe a phenomenon where a system abruptly shifts from one stable
state to an alternative, often detrimental, stable state. Understanding and possibly …
state to an alternative, often detrimental, stable state. Understanding and possibly …
Early warning signals for bifurcations embedded in high dimensions
Recent work has highlighted the utility of methods for early warning signal detection in
dynamic systems approaching critical tipping thresholds. Often these tipping points …
dynamic systems approaching critical tipping thresholds. Often these tipping points …
Critical transitions in degree mixed networks: A discovery of forbidden tipping regions in networked spin systems
Critical transitions can be conceptualized as abrupt shifts in the state of a system typically
induced by changes in the system's critical parameter. They have been observed in a variety …
induced by changes in the system's critical parameter. They have been observed in a variety …
Learning Tipping Elements From Data: Early Warning Signals for Bifurcations Embedded in High Dimensions
Recent work has highlighted the utility of methods for early warning signal detection in
dynamic systems approaching critical tipping thresholds. Often these tipping points …
dynamic systems approaching critical tipping thresholds. Often these tipping points …
Early warning signals of the tipping point in strongly interacting Rydberg atoms
J Zhang, ZK Liu, LH Zhang, B Liu, ZY Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
The identification of tipping points is essential for prediction of collapses or other sudden
changes in complex systems. Applications include studies of ecology, thermodynamics …
changes in complex systems. Applications include studies of ecology, thermodynamics …
Regression analysis of slope instabilities evolution for time of failure estimation
A Michelini - ISRM Congress, 2023 - onepetro.org
Time of failure (TOF) estimation of rock slope instabilities is one of the most important output
of slope monitoring activities. Providing an accurate TOF estimation allows to significantly …
of slope monitoring activities. Providing an accurate TOF estimation allows to significantly …