26 citations · 58 across the 4 of their papers we have counts for
4 papers
Evolution of Fullerenes in Circumstellar Envelopes by Carbon Condensation: Insights from Reactive Molecular Dynamics Simulations
Zhisen Meng, Zhao Wang
Fullerenes, including \ce{C60} and \ce{C70}, have been detected in various astronomical environments. Understanding how their structures evolve over time is essential for gaining i…
Machine-learning identified molecular fragments responsible for infrared emission features of polycyclic aromatic hydrocarbons
Zhisen Meng, Yong Zhang, Enwei Liang +1
Machine learning feature importance calculations are used to determine the molecular substructures that are responsible for mid and far-infrared (IR) emission features of neutral p…
Machine Learning interpretation of the correlation between infrared emission features of interstellar polycyclic aromatic hydrocarbons
Zhisen Meng, Xiaosi Zhu, Peter Kovacs +2
Supervised machine learning models are trained with various molecular descriptors to predict infrared emission spectra of interstellar polycyclic aromatic hydrocarbons. We demonstr…
Formation of interstellar complex polycyclic aromatic hydrocarbons: Insights from molecular dynamics simulations of dehydrogenated benzene
Meriem Hanine, Zhisen Meng, Shiru Lu +4
Small organic molecules are thought to provide building blocks for the formation of complex interstellar polycyclic aromatic hydrocarbons (PAHs). However, the underlying chemical m…