A Method for Forming a Porous Structure for Modeling Molecular Dynamics

Due to the wide variety of porous materials, studying their properties can be laborious. This paper proposes a porous structure generation algorithm for molecular dynamics simulation, which simplifies and accelerates the study of porous material properties. The algorithm can generate a porous system with a specified porosity, pore size, and solid matrix distribution in the material. The algorithm successfully generates morphology similar to that of experimental samples. This is demonstrated through the example of NiTi intermetallic compound.

Authors

Institutions

Publication Details

Journal
High Energy Chemistry
Published
2024-11-23
DOI
https://doi.org/10.1134/s001814392470084x
Citations
1
Primary Topic
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
Type
article
Field-Weighted Citation Impact
0.18
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Method for Forming a Porous Structure for Modeling Molecular Dynamics

Bulat N. Galimzyanov, А. В. Мокшин, Г. А. Никифоров
1 citations
High Energy Chemistry
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
0.18
article

A Method for Forming a Porous Structure for Modeling Molecular Dynamics

Bulat N. Galimzyanov, А. В. Мокшин, Г. А. Никифоров
article en
1 citations

Abstract

Due to the wide variety of porous materials, studying their properties can be laborious. This paper proposes a porous structure generation algorithm for molecular dynamics simulation, which simplifies and accelerates the study of porous material properties. The algorithm can generate a porous system with a specified porosity, pore size, and solid matrix distribution in the material. The algorithm successfully generates morphology similar to that of experimental samples. This is demonstrated through the example of NiTi intermetallic compound.

High Energy ChemistryVol. 58(S2)
Kazan Federal University (RU)
Openalex Percentile: Top 50%
Advanced Theoretical and Applied Studies in Material Sciences and Geometry
0.18
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.