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Addressing the gap between meso(grain) and continuum scales with stochastic burn models and probability density function theory
Author(s) -
David E. Kittell
Publication year - 2020
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/12.0000959
Subject(s) - bridging (networking) , statistical physics , stochastic process , probability density function , computer science , stochastic modelling , explosive material , mesoscale meteorology , discrete modelling , stochastic geometry , langevin equation , physics , mathematics , algorithm , meteorology , computer network , statistics , chemistry , organic chemistry , discrete system

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