Self-learning kinetic Monte Carlo simulations of diffusion in ferromagnetic α-Fe–Si alloys. (19th December 2017)
- Record Type:
- Journal Article
- Title:
- Self-learning kinetic Monte Carlo simulations of diffusion in ferromagnetic α-Fe–Si alloys. (19th December 2017)
- Main Title:
- Self-learning kinetic Monte Carlo simulations of diffusion in ferromagnetic α-Fe–Si alloys
- Authors:
- Nandipati, Giridhar
Jiang, Xiujuan
Vemuri, Rama S
Mathaudhu, Suveen
Rohatgi, Aashish - Abstract:
- Abstract: Diffusion of Si atom and vacancy in the A2-phase of α -Fe–Si alloys in the ferromagnetic state, with and without magnetic order and in various temperature ranges, are studied using AKSOME, an on-lattice self-learning KMC code. Diffusion of the Si atom and the vacancy are studied in the dilute limit and up to 12 at.% Si, respectively, in the temperature range 350–700 K. Local Si neighborhood dependent activation energies for vacancy hops were calculated on-the-fly using a broken-bond model based on pairwise interaction. The migration barrier and prefactor for the Si diffusion in the dilute limit were obtained and found to agree with published data within the limits of uncertainty. Simulations results show that the prefactor and the migration barrier for the Si diffusion are approximately an order of magnitude higher, and a tenth of an electron-volt higher, respectively, in the magnetic disordered state than in the fully ordered state. However, the net result is that magnetic disorder does not have a significant effect on Si diffusivity within the range of parameters studied in this work. Nevertheless, with increasing temperature, the magnetic disorder increases and its effect on the Si diffusivity also increases. In the case of vacancy diffusion, with increasing Si concentration, its diffusion prefactor decreases while the migration barrier more or less remained constant and the effect of magnetic disorder increases with Si concentration. Important vacancy-Si/FeAbstract: Diffusion of Si atom and vacancy in the A2-phase of α -Fe–Si alloys in the ferromagnetic state, with and without magnetic order and in various temperature ranges, are studied using AKSOME, an on-lattice self-learning KMC code. Diffusion of the Si atom and the vacancy are studied in the dilute limit and up to 12 at.% Si, respectively, in the temperature range 350–700 K. Local Si neighborhood dependent activation energies for vacancy hops were calculated on-the-fly using a broken-bond model based on pairwise interaction. The migration barrier and prefactor for the Si diffusion in the dilute limit were obtained and found to agree with published data within the limits of uncertainty. Simulations results show that the prefactor and the migration barrier for the Si diffusion are approximately an order of magnitude higher, and a tenth of an electron-volt higher, respectively, in the magnetic disordered state than in the fully ordered state. However, the net result is that magnetic disorder does not have a significant effect on Si diffusivity within the range of parameters studied in this work. Nevertheless, with increasing temperature, the magnetic disorder increases and its effect on the Si diffusivity also increases. In the case of vacancy diffusion, with increasing Si concentration, its diffusion prefactor decreases while the migration barrier more or less remained constant and the effect of magnetic disorder increases with Si concentration. Important vacancy-Si/Fe atom exchange processes and their activation barriers were identified, and the effect of energetics on ordered phase formation in Fe–Si alloys are discussed. … (more)
- Is Part Of:
- Journal of physics. Volume 30:Number 3(2018)
- Journal:
- Journal of physics
- Issue:
- Volume 30:Number 3(2018)
- Issue Display:
- Volume 30, Issue 3 (2018)
- Year:
- 2018
- Volume:
- 30
- Issue:
- 3
- Issue Sort Value:
- 2018-0030-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-12-19
- Subjects:
- kinetic Monte Carlo -- vacancy diffusion -- silicon steels -- point defect diffusion -- silicon diffusion -- magnetic materials -- Fe–Si alloys
Condensed matter -- Periodicals
Matière condensée -- Périodiques
Vaste stoffen
Vloeistoffen
Natuurkunde
Electronic journals
Computer network resources
530.4105 - Journal URLs:
- http://www.iop.org/Journals/cm ↗
http://iopscience.iop.org/0953-8984/ ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1361-648X/aa9774 ↗
- Languages:
- English
- ISSNs:
- 0953-8984
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 11485.xml