Chunhe Jiang, Bo Liu, Wang Liang, Jianliang Zhang, Kejiang Li
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Microstructural analysis revealed phosphorus’s role in forming complex clusters, affecting the liquid iron’s local structural order. This research provides a deeper understanding of phosphorus behavior in liquid iron, offering insights for optimizing impurity control in ironmaking and enhancing the quality of steel products.</p><h3>Method</h3><p>Lammps software was conducted to do the molecular dynamics simulation using EAM potential with NVT ensemble at 1873 K. The research subject is Fe–P melts. The initial state model is created by randomly substituting Fe atoms in the iron crystal with P atoms based on the specific number of P atoms. The ISAACS software was used to analyze the trajectories of the Fe–P melt, including structural factors, radial distribution functions, coordination numbers, bond lengths, bond angles, and microscopic clusters. Additionally, mean square displacement and atomic diffusion coefficients are analyzed. The calculated viscosity is compared with experimental data from published literature.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"31 5","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Microstructure evolution and properties of liquid Fe–P with different phosphorus content: molecular dynamic investigation\",\"authors\":\"Chunhe Jiang, Bo Liu, Wang Liang, Jianliang Zhang, Kejiang Li\",\"doi\":\"10.1007/s00894-025-06350-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><p>With the scarcity of high-quality iron ore, high-phosphorus ores have become increasingly prevalent, posing challenges to maintaining the quality of steel. Phosphorus has emerged as a key factor affecting the fluidity of molten iron and the quality of steel products. Therefore, molecular dynamics method was conducted to analyze phosphorus’s impact on the microstructure and properties of liquid iron. The research examined phosphorus contents of 1 mol%, 3 mol%, 5 mol%, and 7 mol%, focusing on parameters like radial distribution functions, coordination numbers, and mean square displacements. Results showed that phosphorus decreases the viscosity, disrupts Fe–Fe bonds, and increases the self-diffusion coefficients of both Fe and P atoms. Microstructural analysis revealed phosphorus’s role in forming complex clusters, affecting the liquid iron’s local structural order. This research provides a deeper understanding of phosphorus behavior in liquid iron, offering insights for optimizing impurity control in ironmaking and enhancing the quality of steel products.</p><h3>Method</h3><p>Lammps software was conducted to do the molecular dynamics simulation using EAM potential with NVT ensemble at 1873 K. The research subject is Fe–P melts. The initial state model is created by randomly substituting Fe atoms in the iron crystal with P atoms based on the specific number of P atoms. The ISAACS software was used to analyze the trajectories of the Fe–P melt, including structural factors, radial distribution functions, coordination numbers, bond lengths, bond angles, and microscopic clusters. Additionally, mean square displacement and atomic diffusion coefficients are analyzed. 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Microstructure evolution and properties of liquid Fe–P with different phosphorus content: molecular dynamic investigation
Context
With the scarcity of high-quality iron ore, high-phosphorus ores have become increasingly prevalent, posing challenges to maintaining the quality of steel. Phosphorus has emerged as a key factor affecting the fluidity of molten iron and the quality of steel products. Therefore, molecular dynamics method was conducted to analyze phosphorus’s impact on the microstructure and properties of liquid iron. The research examined phosphorus contents of 1 mol%, 3 mol%, 5 mol%, and 7 mol%, focusing on parameters like radial distribution functions, coordination numbers, and mean square displacements. Results showed that phosphorus decreases the viscosity, disrupts Fe–Fe bonds, and increases the self-diffusion coefficients of both Fe and P atoms. Microstructural analysis revealed phosphorus’s role in forming complex clusters, affecting the liquid iron’s local structural order. This research provides a deeper understanding of phosphorus behavior in liquid iron, offering insights for optimizing impurity control in ironmaking and enhancing the quality of steel products.
Method
Lammps software was conducted to do the molecular dynamics simulation using EAM potential with NVT ensemble at 1873 K. The research subject is Fe–P melts. The initial state model is created by randomly substituting Fe atoms in the iron crystal with P atoms based on the specific number of P atoms. The ISAACS software was used to analyze the trajectories of the Fe–P melt, including structural factors, radial distribution functions, coordination numbers, bond lengths, bond angles, and microscopic clusters. Additionally, mean square displacement and atomic diffusion coefficients are analyzed. The calculated viscosity is compared with experimental data from published literature.
期刊介绍:
The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling.
Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry.
Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.