Results 1 to 10 of about 846,838 (328)
Monte-Carlo calculation of fission process for neutron-induced typical actinide nuclei fission [PDF]
EPJ Web of Conferences, 2020 A global potential-driving model with well-determined parameters is proposed by uniting the empirical asymmetric fission potential and the empirical symmetric fission potential, which can precisely calculate the pre-neutron-emission mass distributions ...
Wei Zheng +8 more
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Optimal Control Methods of Experiment Times in System-of-Systems Combat Computer Simulation [PDF]
ITM Web of Conferences, 2019 In the process of scheme optimization, in order to eliminate the influence of random factor, it needs to conduct computer simulation of Monte Carlo. Therefore, it is proposed to introduce confidence interval into systemof-systems combat simulation, and ...
Zhao Zhiqiang, Zhou Feiyue
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Mathematics, 2023 Financial derivatives have developed rapidly over the past few decades due to their risk-averse nature, with options being the preferred financial derivatives due to their flexible contractual mechanisms, particularly Asian options.
Lingling Xu, Hongjie Zhang, Fu Lee Wang
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Systems Science & Control Engineering, 2022 In view of the huge strategy space and high real-time requirement for multi-fighter air combat maneouvre decisions, the target allocation and the manoeuvre decision model are established, respectively and the air combat strategy solving algorithm is ...
Qiuni Li +3 more
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NEW OPPORTUNITIES FOR HIGH-PERFORMANCE SIMULATIONS OF NANOSYSTEM USING METROPOLIS SOFTWARE
Физико-химические аспекты изучения кластеров, наноструктур и наноматериалов, 2021 The architecture and software Metropolis for computer simulation by the Monte Carlo method, as well as its modifications, are described. The tight-binding potential that does not exclude the possibility of using other modifications of many-body ...
D.N. Sokolov +4 more
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Retrosynthetic planning with experience-guided Monte Carlo tree search [PDF]
Communications Chemistry, 2022 Abstract In retrosynthetic planning, the huge number of possible routes to synthesize a complex molecule using simple building blocks leads to a combinatorial explosion of possibilities. Even experienced chemists often have difficulty to select the most promising transformations. The current approaches rely on human-defined or machine-
Siqi Hong +4 more
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Validating the MYSTIC three-dimensional radiative transfer model with observations from the complex topography of Arizona's Meteor Crater [PDF]
Atmospheric Chemistry and Physics, 2010 The MYSTIC three-dimensional Monte-Carlo radiative transfer model has been extended to simulate solar and thermal irradiances with a rigorous consideration of topography.
B. Mayer, S. W. Hoch, C. D. Whiteman
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Prediction of the particle production in pp collisions with the MPD detector at NICA collider [PDF]
EPJ Web of Conferences, 2019 The proton-proton collisions have been extensively used as a baseline reference for nucleus-nucleus collisions. In this work, Monte Carlo simulations of inelastic head-on pp interactions at s=6−25 GeV$\sqrt s = 6 - 25\,{\rm{GeV}}$ were performed to ...
Shtejer K.
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The Fast Simulation Chain in the ATLAS experiment [PDF]
EPJ Web of Conferences, 2021 The ATLAS experiment relies heavily on simulated data, requiring the production of billions of simulated proton-proton collisions every run period. As such, the simulation of collisions (events) is the single biggest CPU resource consumer. ATLAS’s finite
Javurkova Martina
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Monte-Carlo Go Reinforcement Learning Experiments [PDF]
2006 IEEE Symposium on Computational Intelligence and Games, 2006 This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture. Currently, Monte-Carlo is a popular technique for computer Go. In a previous study, Monte-Carlo was associated with domain-dependent knowledge in the Go-playing program Indigo. In 2003,
Bruno Bouzy, Guillaume Chaslot
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