Fractional time Schrödinger equations applied to the time-dependent Jaynes-Cummings model introduce non-Markovian memory that damps oscillations, controls entanglement, and preserves non-periodic dynamics under sinusoidal coupling.
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Hybrid predictive modeling of crash data identifies non-use of restraints as the primary risk factor for severe injury in collisions involving trees.
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Non-Markovian Light-Matter Dynamics in the Time Fractional Jaynes-Cummings Model with Modulated Coupling
Fractional time Schrödinger equations applied to the time-dependent Jaynes-Cummings model introduce non-Markovian memory that damps oscillations, controls entanglement, and preserves non-periodic dynamics under sinusoidal coupling.
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From Canopy to Collision: A Hybrid Predictive Framework for Identifying Risk Factors in Tree-Involved Traffic Crashes
Hybrid predictive modeling of crash data identifies non-use of restraints as the primary risk factor for severe injury in collisions involving trees.