Time-dependent observables and diabatic curve crossing: a model study

1995 ◽  
Vol 330 (1-3) ◽  
pp. 107-111 ◽  
Author(s):  
Alessandro Lami ◽  
Giovanni Villani
Keyword(s):  
Time Dependent ◽  
Model Study ◽  
Curve Crossing

Semiclassical theory of time-dependent curve crossing problems

1997 ◽  
Vol 107 (6) ◽  
pp. 1904-1914 ◽  
Author(s):  
Yoshiaki Teranishi ◽  
Hiroki Nakamura
Keyword(s):  
Time Dependent ◽  
Semiclassical Theory ◽  
Curve Crossing

scholarly journals Beyond the time‐dependent Hartree grid approximation for curve‐crossing problems

1992 ◽  
Vol 96 (5) ◽  
pp. 3613-3623 ◽  
Author(s):  
Jose Campos‐Martinez ◽  
Janet R. Waldeck ◽  
Rob D. Coalson
Keyword(s):  
Time Dependent ◽  
Grid Approximation ◽  
Curve Crossing

scholarly journals CoVID-19 prediction for India from the existing data and SIR(D) model study

2020 ◽  
Author(s):  
Aditya Rajesh ◽  
Haidas Pai ◽  
Victor Roy ◽  
Subhasis Samanta ◽  
Sabyasachi Ghosh
Keyword(s):  
Mathematical Model ◽  
Decision Making ◽  
Strategic Decision ◽  
Time Dependent ◽  
Strategic Decision Making ◽  
Model Study ◽  
The World ◽  
The Future ◽  
D Model ◽  
Existing Data

CoVID-19 is spreading throughout the world at an alarming rate. So far it has spread over 200 countries in the whole world. Mathematical modelling of an epidemic like CoVID-19 is always useful for strategic decision making, especially it is very useful to gain some understanding of the future of the epidemic in densely populous countries like India. We use a simple yet effective mathematical model SIR(D) to predict the future of the epidemic in India by using the existing data. We also estimate the effect of lock-down/social isolation via a time-dependent coefficient of the model. The model study with realistic parameters set shows that the epidemic will be at its peak around the end of June or the first week of July with almost 108 Indians most likely being infected if the lock-down relaxed after May 3, 2020. However, the total number of infected population will become one-third of what predicted here if we consider that people only in the red zones (approximately one-third of India's population) are susceptible to the infection. Even in a very optimistic scenario we expect that at least the infected numbers of people will be of the order of 107.

Sensitivity of time-dependent vibrational dynamics to curve-crossing topology

1991 ◽  
Vol 40 (S25) ◽  
pp. 141-153 ◽  
Author(s):  
J. Broeckhove ◽  
B. Feyen ◽  
L. Lathouwers
Keyword(s):  
Time Dependent ◽  
Vibrational Dynamics ◽  
Curve Crossing
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