A physiochemical model for the combustion of aluminum nano-agglomerates in high-speed flows

Q Chu, X Chang, D Chen - Combustion and Flame, 2022 - Elsevier
A theoretical model of aluminum nanoparticle (ANP) and agglomerates has been developed
to highlight the effect of flow-particle interactions and heat conduction within particles. To …

High shock resistance and self-healing ability of graphene/nanotwinned Cu nanolayered composites

C Zhang, A Godbole, G Michal, C Lu - Journal of Alloys and Compounds, 2021 - Elsevier
Graphene/metal matrix composites have attracted intense interest because of superior
mechanical properties, while introducing graphene into the nanotwinned metal matrix has …

Determining the mechanical and decomposition properties of high energetic materials (α-RDX, β-HMX, and ε-CL-20) using a neural network potential

M Wen, X Chang, Y Xu, D Chen, Q Chu - Physical Chemistry Chemical …, 2024 - pubs.rsc.org
Molecular simulations of high energetic materials (HEMs) are limited by efficiency and
accuracy. Recently, neural network potential (NNP) models have achieved molecular …

[HTML][HTML] Investigation of the effect of iron nanoparticles on n-dodecane combustion under external electrostatic fields

EM Kritikos, A Giusti - Proceedings of the Combustion Institute, 2023 - Elsevier
Reactive molecular dynamics simulations are performed to investigate the combined effects
of iron nanoparticles and external electrostatic fields on the combustion of n-dodecane …

mdapy: A flexible and efficient analysis software for molecular dynamics simulations

YC Wu, JL Shao - Computer Physics Communications, 2023 - Elsevier
The mdapy is a library for pre-and postprocessing molecular dynamics simulation data.
Benefitting from the just-in-time compile technology of TaiChi mdapy can be written in pure …

Revealing pressure effects in the anisotropic combustion of aluminum nanoparticles

X Chang, Q Chu, D Chen - The Journal of Physical Chemistry C, 2021 - ACS Publications
The anisotropic combustion of aluminum nanoparticles (ANPs) under the flow impact is
examined in a wide pressure range from 5 to 100 atm using reactive molecular dynamics …

Minimizing Redundancy and Data Requirements of Machine Learning Potential: A Case Study in Interface Combustion

X Chang, D Zhang, Q Chu, D Chen - Journal of Chemical Theory …, 2024 - ACS Publications
The machine learning potential has emerged as a promising approach for addressing the
accuracy-versus-efficiency dilemma in molecular modeling. Efficiently exploring chemical …

Fully resolved simulations of micro-unit composite fuel in hydroxyl-terminated polybutadiene (HTPB): Al@ AP

X Chang, M Wen, Q Chu, KH Luo, D Chen - Chemical Engineering Journal, 2024 - Elsevier
Micro-unit composite fuel (Al@ AP) is a promising strategy for achieving stable and efficient
combustion, due to its reduced pressure dependency and ability to prevent agglomeration …

A Reactive Molecular Dynamics Investigation of Nanoparticle Interactions in Hydrocarbon Combustion

M Sayed Ahmad, EM Kritikos… - Combustion Science and …, 2023 - Taylor & Francis
The use of energetic nanoparticles to tailor the properties of a base liquid fuel has attracted
attention due to the possibility of decreasing fuel consumption and increasing control over …

Investigation of Iron Nanoparticle Oxidation under External Electrostatic Fields Using Reactive Molecular Dynamics

EM Kritikos, A Giusti - The Journal of Physical Chemistry C, 2024 - ACS Publications
A reactive molecular dynamics (MD) study of iron nanoparticle oxidation under externally
applied electrostatic fields is performed, with a focus on the role of charge transfers and …