Electron-stimulated clusterization

The model describing clusterization stimulation by electron impact is proposed and analyzed. The corresponding quasi-chemical nucleation model is built, and the corresponding clusters' growth/decay coefficients are determined. Equilibrium constants are determined using the data on the clusters' binding energy. The stimulation effect is analyzed using both the quasi-chemical nucleation model itself and the introduced concept of effective supersaturation. It is shown that the higher the supersaturation calculated for the unexcited monomers, the more pronounced the stimulation effect. Estimations of all the specified parameters are carried out for the pure argon flow.

Authors

Institutions

Publication Details

Journal
Physics of Fluids
Published
2025-10-01
DOI
https://doi.org/10.1063/5.0299655
Primary Topic
Spectroscopy and Quantum Chemical Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electron-stimulated clusterization

Dmitriy Leshchev, Yuriy E. Gorbachev
Physics of Fluids
Spectroscopy and Quantum Chemical Studies
article

Electron-stimulated clusterization

Dmitriy Leshchev, Yuriy E. Gorbachev
article en

Abstract

The model describing clusterization stimulation by electron impact is proposed and analyzed. The corresponding quasi-chemical nucleation model is built, and the corresponding clusters' growth/decay coefficients are determined. Equilibrium constants are determined using the data on the clusters' binding energy. The stimulation effect is analyzed using both the quasi-chemical nucleation model itself and the introduced concept of effective supersaturation. It is shown that the higher the supersaturation calculated for the unexcited monomers, the more pronounced the stimulation effect. Estimations of all the specified parameters are carried out for the pure argon flow.

Physics of FluidsVol. 37(10)
Novosibirsk State University (RU)
Openalex Percentile: Top 75%
Spectroscopy and Quantum Chemical Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.