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Nanoparticle Coalescence: Computational Modeling of Nanoparticle Coalescence (Adv. Theory Simul. 6/2019)
Author(s) -
Grammatikopoulos Panagiotis,
Sowwan Mukhles,
Kioseoglou Joseph
Publication year - 2019
Publication title -
advanced theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.068
H-Index - 17
ISSN - 2513-0390
DOI - 10.1002/adts.201970019
Subject(s) - coalescence (physics) , nanoparticle , neuromorphic engineering , nanotechnology , computation , computer science , materials science , physics , artificial intelligence , algorithm , artificial neural network , astrobiology
In article number 1900013 Panagiotis Grammatikopoulos, Mukhles Sowwan, and Joseph Kioseoglou provide a comprehensive review on the fundamental mechanisms and simulation tools of nanoparticle coalescence. Numerous case studies are presented of various materials and potential applications, including aerosol fabrication, neuromorphic computation, and nanoparticle‐support interaction as an extreme case of coalescence; also, the essence of coalescence is clarified by contrasting it to soft agglomeration.