Výsledky vyhledávání - "Kim, DooHyun"

Report

On sparse identification of complex dynamical systems: A study on discovering influential reactions in chemical reaction networks

Autor: Harirchi, Farshad, Kim, Doohyun, Khalil, Omar, Liu, Sijia, Elvati, Paolo, Baranwal, Mayank, Hero, Alfred, Violi, Angela

Publikováno v: Fuel, Volume 279, 2020, 118204, ISSN 0016-2361

A wide variety of real life complex networks are prohibitively large for modeling, analysis and control. Understanding the structure and dynamics of such networks entails creating a smaller representative network that preserves its relevant topologic

Externí odkaz: http://arxiv.org/abs/2011.00053

Zobrazit plný text záznamu

Report

Spatial Dependence of Polycyclic Aromatic Compounds Growth in Counterflow Flames

Autor: Wang, Qi, Elvati, Paolo, Kim, Doohyun, Johansson, K. Olof, Schrader, Paul E., Michelsen, Hope A., Wilson, Kevin R., Violi, Angela

The formation mechanisms of aromatic compounds in flame are strongly influenced by the chemical and thermal history that leads to their formation. Indeed, the complex environments that characterize combustion systems do not only affect the compositio

Externí odkaz: http://arxiv.org/abs/1801.00666

Zobrazit plný text záznamu

Report

A New Data-Driven Sparse-Learning Approach to Study Chemical Reaction Networks

Autor: Harirchi, Farshad, Kim, Doohyun, Khalil, Omar A., Liu, Sijia, Elvati, Paolo, Violi, Angela, Hero, Alfred O.

Chemical kinetic mechanisms can be represented by sets of elementary reactions that are easily translated into mathematical terms using physicochemical relationships. The schematic representation of reactions captures the interactions between reactin

Externí odkaz: http://arxiv.org/abs/1712.06281

Zobrazit plný text záznamu