A Monte Carlo approach for the real time dynamics of tunneling systems in condensed phases

1983 ◽  
Vol 79 (12) ◽  
pp. 6277-6281 ◽  
Author(s):  
E. C. Behrman ◽  
Gary A. Jongeward ◽  
Peter G. Wolynes
2013 ◽  
Vol 28 (03n04) ◽  
pp. 1340002
Author(s):  
JUN NISHIMURA

We study the Lorentzian version of the type IIB matrix model as a nonperturbative formulation of superstring theory in (9+1)-dimensions. Monte Carlo results show that not only space but also time emerges dynamically in this model. Furthermore, the real-time dynamics extracted from the matrices turns out to be remarkable: 3 out of 9 spatial directions start to expand at some critical time. This can be interpreted as the birth of our Universe.


2017 ◽  
Vol 89 (18) ◽  
pp. 9814-9821 ◽  
Author(s):  
Naifu Jin ◽  
Maria Paraskevaidi ◽  
Kirk T. Semple ◽  
Francis L. Martin ◽  
Dayi Zhang

1988 ◽  
Vol 89 (4) ◽  
pp. 2170-2177 ◽  
Author(s):  
Nancy Makri ◽  
William H. Miller

Language ◽  
2018 ◽  
Vol 94 (4) ◽  
pp. 867-901 ◽  
Author(s):  
Peter Petré ◽  
Freek Van de Velde

Author(s):  
Xi Gu ◽  
Xiaoning Jin ◽  
Weihong Guo

Effective maintenance operations are essential to improve the competitiveness of manufacturing enterprises. However, the existing maintenance policies usually ignore the real-time dynamics of the system and cannot respond promptly to the demand changes in the market. This paper investigates the hidden opportunities that one machine can be stopped for maintenance during production time, while the throughput requirement in a specific horizon can still be satisfied. We define these time windows as active maintenance opportunity windows (AMOWs), and predict them based on the real-time operational data in manufacturing systems with different configurations and Bernoulli machines.


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