YURI SHUNIN. Spintronic Nanomemory and Nanosensor Devices. LAP LAMBERT Academic Publishing, 2015

Spintronic Nanomemory and Nanosensor Devices

Spintronic Nanomemory and Nanosensor Devices Based on Carbon Nanotube-Fe-Pt Interconnects: Models and Simulations

Yuri Shunin1,3, Stefano Bellucci2, Yuri Zhukovskii1, Victor Gopejenko3, Nataly Burlutskaya3, Tamara Lobanova-Shunina4, Federico Micciulla2 and Aldo Capobianchi5

1Institute of Solid State Physics, University of Latvia, Kengaraga Str. 8, LV-1063, Riga, Latvia
2INFN - Laboratori Nazionali di Frascati, Via Enrico Fermi 40, I-00044, Frascati-Rome, Italy
3ISMA University, 1 Lomonosova Str. 1, Bld. 6, LV-1019, Riga, Latvia
4Aeronautics Institute, Riga Technical University, 1 Lomonosova Str. 1, Bld. V, LV-1019, Riga, Latvia
5Istituto di Struttura della Materia-CNR A.d.R. Roma, Via Salaria Km 29.300 Monterotondo-Rome, Italy

Abstract. The parametrically controlled production of CNTs (carbon nanotubes) with predefined morphologies is a topical technological problem for modern nanoelectronics. The CVD (chemical vapor deposition) technique for SWCNTs (single walled carbon nanotubes) in the presence of various metal nanoparticle catalysts is generally used now. The application of a magnetically stimulated CVD process scheme and catalyst nanoparticles with a strong magnetism promises additional possibilities for the CVD process management and allows expecting a predictable growth of CNTs with set chiralities and diameters. The main attention is focused on the magnetically anisotropic Fe-Pt in L10 crystallographic phase nanoparticles effect research. The developed theoretical cluster approach based on the multiple scattering and effective medium approximation is used for simulation of fundamental electromagnetic properties in Fe-Pt L10-CNT interconnects, which are responsible for developing CNTs morphologies. The proposed model of “effective bonds” and the model of magnetic stimulation for growing CNTs morphologies generated on the Fe-Pt nanoparticle surface are applied for the evaluation of the expected CNT chiralities distribution. The model and conditions controlled magnetically, which stimulates CNTs growth in the CVD process, aimed at the predictable SWCNT diameter and chirality and based on Fe-Pt L10 catalyst are discussed. The possibilities of CNT forest growing on Fe-Pt nanoparticles for magnetic nanomemory are also evaluated. Magnetoresistance phenomenon - giant magnetoresistance and tunneling magnetoresistance - (GMR and TMR) for nanomemory devices based on CNTs of various morphologies (i.e. various chiralities, diameters) which includes metal- and semiconductor-like ones is considered as alternative variants of electromagnetic nanosensoring and magnetic nanomemory. Spin transport models are also analyzed.
Keywords: chemical vapor deposition, carbon nanotubes, magnetically controlled growth, Fe-Pt nanodrops-catalysts, CNT growth modelling, magnetoresistance phenomena