Machine learning for chemical reactions
M Meuwly - Chemical Reviews, 2021 - ACS Publications
Machine learning (ML) techniques applied to chemical reactions have a long history. The
present contribution discusses applications ranging from small molecule reaction dynamics …
present contribution discusses applications ranging from small molecule reaction dynamics …
Quo vadis multiscale modeling in reaction engineering?–A perspective
This work reports the results of a perspective workshop held in summer 2021 discussing the
current status and future needs for multiscale modeling in reaction engineering. This …
current status and future needs for multiscale modeling in reaction engineering. This …
DeePMD-kit v2: A software package for deep potential models
DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics
simulations using machine learning potentials known as Deep Potential (DP) models. This …
simulations using machine learning potentials known as Deep Potential (DP) models. This …
ReaxFF molecular dynamics simulations of thermal reactivity of various fuels in pyrolysis and combustion
X Li, M Zheng, C Ren, L Guo - Energy & Fuels, 2021 - ACS Publications
The methodology development and applications of ReaxFF molecular dynamics (ReaxFF
MD) in unraveling the complex reactions and kinetics for pyrolysis and oxidation of organic …
MD) in unraveling the complex reactions and kinetics for pyrolysis and oxidation of organic …
Macroscopic behavior and kinetic mechanism of ammonium dihydrogen phosphate for suppressing polyethylene dust deflagration
X Yu, X Meng, J Chen, Y Zhu, Y Li, Z Qin, J Ding… - Chemical Engineering …, 2024 - Elsevier
In this paper, the inhibition effect of ammonium dihydrogen phosphate (NH 4 H 2 PO 4) on
the deflagration of polyethylene dust (C 100 H 202) is studied by combining experimental …
the deflagration of polyethylene dust (C 100 H 202) is studied by combining experimental …
Study on mechanisms of methane/hydrogen blended combustion using reactive molecular dynamics simulation
X Liu, M Zhao, M Feng, Y Zhu - International Journal of Hydrogen Energy, 2023 - Elsevier
Methane is an ideal alternative to other fossil fuels but requires great bond strength to bond
dissociation, which leads to poor ignition performance. Hydrogen, as a promising and …
dissociation, which leads to poor ignition performance. Hydrogen, as a promising and …
Development of a reaction mechanism of hydrogen production through rich methane-acetylene blending in a porous medium micro-combustor
J Ding, E Jiaqiang, L Cai, B Luo, J Li - Energy Conversion and …, 2025 - Elsevier
With the growing global focus on environmental and energy issues, hydrogen has garnered
significant attention as a green energy source. It leads to extensive research on hydrogen …
significant attention as a green energy source. It leads to extensive research on hydrogen …
Simulation methods of cotton pyrolysis based on ReaxFF and the influence of volatile removal ratio on volatile evolution and char formation
A Batuer, D Chen, X He, Z Huang - Chemical Engineering Journal, 2021 - Elsevier
To understand the influence of volatile removal ratio from the system on pyrolysis
characteristics of cotton, a simulation model was proposed by performing both non …
characteristics of cotton, a simulation model was proposed by performing both non …
Update of the present decomposition mechanisms of ammonia: A combined ReaxFF, DFT and chemkin study
H Zhang, Y Hu, W Liu, C Zhao, W Fan - International Journal of Hydrogen …, 2024 - Elsevier
Ammonia, a promising carbon-free fuel, offers significant potential for reducing carbon
emissions. The decomposition of NH 3 is crucial for improving NH 3 combustion, yet its …
emissions. The decomposition of NH 3 is crucial for improving NH 3 combustion, yet its …
Detailed mechanisms of amoxicillin decomposition in supercritical water by ReaxFF reactive molecular dynamics simulation
J Chen, Y Bai, T Meng, Q Wang, C Wang… - Chemical Engineering …, 2023 - Elsevier
The abuse of antibiotics in China has aroused widespread concern, and the resistance
genes of antibiotics in the natural environment seriously threaten human health. The …
genes of antibiotics in the natural environment seriously threaten human health. The …