{"title":"Stacking-sequence-dependent plasticity and subsurface damage evolution in nanometric cutting of hexagonal SiC","authors":"Binbin Meng","doi":"10.1007/s00894-026-07006-w","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><p>Hexagonal SiC is a widely used third-generation semiconductor material that can be classified into several polytypes (2H, 4H, 6H and 8H) based on stacking sequence. Since crystal structure directly determines machinability, understanding the influence of stacking sequence is essential for optimising ultra-precision machining. In this study, abrasive scratching simulations were performed to systematically investigate the relationships among stacking structure, machinability and micro-slip behaviour. The results reveal that hexagonal SiC exhibits distinct fine slip behaviour, pronounced stacking-structure selectivity and local disorder characteristics, clarifying the differences in machinability across various polytypes.</p><h3>Methods</h3><p>All simulations were performed using LAMMPS with the ABOP many-body potential to describe Si–C interactions. The abrasive was modelled as a deformable body with a negative rake angle of -35.5°. The SiC workpiece had an off-axis angle of 4° relative to the basal plane, with the C-plane (000–1) as the machined surface and scratching along the [01–10] direction. Simulation results were visualised and analysed using OVITO.</p></div>","PeriodicalId":651,"journal":{"name":"Journal of Molecular Modeling","volume":"32 11","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2026-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Modeling","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1007/s00894-026-07006-w","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Context
Hexagonal SiC is a widely used third-generation semiconductor material that can be classified into several polytypes (2H, 4H, 6H and 8H) based on stacking sequence. Since crystal structure directly determines machinability, understanding the influence of stacking sequence is essential for optimising ultra-precision machining. In this study, abrasive scratching simulations were performed to systematically investigate the relationships among stacking structure, machinability and micro-slip behaviour. The results reveal that hexagonal SiC exhibits distinct fine slip behaviour, pronounced stacking-structure selectivity and local disorder characteristics, clarifying the differences in machinability across various polytypes.
Methods
All simulations were performed using LAMMPS with the ABOP many-body potential to describe Si–C interactions. The abrasive was modelled as a deformable body with a negative rake angle of -35.5°. The SiC workpiece had an off-axis angle of 4° relative to the basal plane, with the C-plane (000–1) as the machined surface and scratching along the [01–10] direction. Simulation results were visualised and analysed using OVITO.
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.