|
|
A decomposition approach to the design of a multiferroic memory bit |
Ruben ACEVEDO(), Cheng-Yen LIANG, Gregory P. CARMAN, Abdon E. SEPULVEDA |
Mechanical and Aerospace Engineering Department, University of California Los Angeles, Los Angeles, CA 90095-1597, USA |
|
|
Abstract The objective of this paper is to present a methodology for the design of a memory bit to minimize the energy required to write data at the bit level. By straining a ferromagnetic nickel nano-dot by means of a piezoelectric substrate, its magnetization vector rotates between two stable states defined as a 1 and 0 for digital memory. The memory bit geometry, actuation mechanism and voltage control law were used as design variables. The approach used was to decompose the overall design process into simpler sub-problems whose structure can be exploited for a more efficient solution. This method minimizes the number of fully dynamic coupled finite element analyses required to converge to a near optimal design, thus decreasing the computational time for the design process. An in-plane sample design problem is presented to illustrate the advantages and flexibility of the procedure.
|
Keywords
multiferroics
nano memory
piezoelectric
optimization
|
Corresponding Author(s):
Ruben ACEVEDO
|
Just Accepted Date: 03 May 2017
Online First Date: 26 May 2017
Issue Date: 19 June 2017
|
|
1 |
Wang K L, Alzate J G, Khalili Amiri P. Low-power non-volatile spintronic memory: STT-RAM and beyond. Journal of Physics D: Applied Physics, 2013, 46(7): 074003
https://doi.org/10.1088/0022-3727/46/7/074003
|
2 |
Pertsev N A, Kohlstedt H. Resistive switching via the converse magnetoelectric effect in ferromagnetic multilayers on ferroelectric substrates. Nanotechnology, 2010, 21(47): 475202
https://doi.org/10.1088/0957-4484/21/47/475202
|
3 |
Tiercelin N, Dusch Y, Preobrazhensky V, et al.Magnetoelectric memory using orthogonal magnetization states and magnetoelastic switching. Journal of Applied Physics, 2011, 109(7): 07D726
https://doi.org/10.1063/1.3559532
|
4 |
Dusch Y, Tiercelin N, Klimov A, et al.Stress-mediated magnetoelectric memory effect with uni-axial TbCo2/FeCo multilayer on 011-cut PMN-PT ferroelectric relaxor. Journal of Applied Physics, 2013, 113(17): 17C719
https://doi.org/10.1063/1.4795440
|
5 |
Cui J, Hockel J L, Nordeen P K, et al. A method to control magnetism in individual strain-mediated magnetoelectric islands. Applied Physics Letters, 2013, 103(23): 232905
https://doi.org/10.1063/1.4838216
|
6 |
Gibiansky L V, Torquato S. Optimal design of 1-3 composite piezoelectrics. Structural Optimization, 1997, 13(1): 23–28
https://doi.org/10.1007/BF01198372
|
7 |
Ruiz D, Bellido J C, Donoso A. Design of piezoelectric modal filters by simultaneously optimizing the structure layout and the electrode profile. Structural and Multidisciplinary Optimization, 2016, 53(4): 715–730
https://doi.org/10.1007/s00158-015-1354-5
|
8 |
Donoso A, Bellido J C. Systematic design of distributed piezoelectric modal sensors/actuators for rectangular plates by optimizing the polarization profile. Structural and Multidisciplinary Optimization, 2009, 38(4): 347–356
https://doi.org/10.1007/s00158-008-0279-7
|
9 |
Zhang X, Kang Z, Li M. Topology optimization of electrode coverage of piezoelectric thin-walled structures with CGVF control for minimizing sound radiation. Structural and Multidisciplinary Optimization, 2014, 50(5): 799–814
https://doi.org/10.1007/s00158-014-1082-2
|
10 |
Schmit L A, Farshi B. Some approximation concepts for structural synthesis. AIAA Journal, 1974, 12(5): 692–699
https://doi.org/10.2514/3.49321
|
11 |
Schmit L A, Miura H. Approximation Concepts for Efficient Structural Analysis. NASA Contractor Report 2552. 1976
|
12 |
Barthelemy J F, Haftka R T. Approximation concepts for optimum structural design—A review. Structural Optimization, 1993, 5(3): 129–144
https://doi.org/10.1007/BF01743349
|
13 |
Toropov V V, Filatov A A, Polynkin A A. Multiparameter structural optimization using FEM and multipoint explicit approximations. Structural Optimization, 1993, 6(1): 7–14
https://doi.org/10.1007/BF01743169
|
14 |
Sepulveda A E, Schmit L A. Approximation-based global optimization strategy for structural synthesis. AIAA Journal, 1993, 31(1): 180–188
https://doi.org/10.2514/3.11335
|
15 |
Park Y S, Lee S H, Park G J. A study of direct vs. approximation methods in structural optimization. Structural Optimization, 1995, 10(1): 64–66
https://doi.org/10.1007/BF01743697
|
16 |
Sepulveda A E, Thomas H. Global optimization using accurate approximations in design synthesis. Structural Optimization, 1996, 12(4): 251–256
https://doi.org/10.1007/BF01197365
|
17 |
Abspoel S J, Etman L F P, Vervoort J, et al.Simulation based optimization of stochastic systems with integer design variables by sequential multipoint linear approximation. Structural and Multidisciplinary Optimization, 2001, 22(2): 125–139
https://doi.org/10.1007/s001580100130
|
18 |
Shu Y C, Lin M P, Wu K C. Micromagnetic modeling of magnetostrictive materials under intrinsic stress. Mechanics of Materials, 2004, 36(10): 975–997
https://doi.org/ 10.1016/j.mechmat.2003.04.004
|
19 |
Zhang J X, Chen L Q. Phase-field microelasticity theory and micromagnetic simulations of domain structures in giant magnetostrictive materials. Acta Materialia, 2005, 53(9): 2845–2855
https://doi.org/ 10.1016/j.actamat.2005.03.002
|
20 |
Cullity B D, Graham C D. Introduction to Magnetic Materials. 2nd ed. Hoboken: Wiley-IEEE Press, 2009
|
21 |
O’Handley R C. Modern Magnetic Materials: Principles and Applications. New York: Wiley, 1999
|
22 |
Baňas L U. Adaptive techniques for Landau-Lifshitz-Gilbert equation with magnetostriction. Journal of Computational and Applied Mathematics, 2008, 215(2): 304–310
https://doi.org/10.1016/j.cam.2006.03.043
|
23 |
Gilbert T L. A phenomenological theory of damping in ferromagnetic materials. IEEE Transactions on Magnetics, 2004, 40(6): 3443–3449
https://doi.org/10.1109/TMAG.2004.836740
|
24 |
Fredkin D R, Koehler T R. Hybrid method for computing demagnetizing fields. IEEE Transactions on Magnetics, 1990, 26(2): 415–417
https://doi.org/10.1109/20.106342
|
25 |
Szambolics H, Toussaint J C, Buda-Prejbeanu L D, et al.Innovative weak formulation for the Landau-Lifshitz-Gilbert equations. IEEE Transactions on Magnetics, 2008, 44(11): 3153–3156
https://doi.org/10.1109/TMAG.2008.2001667
|
26 |
Liang C Y, Keller S M, Sepulveda A E, et al.Electrical control of a single magnetoelastic domain structure on a clamped piezoelectric thin film—Analysis. Journal of Applied Physics, 2014, 116(12): 123909
https://doi.org/10.1063/1.4896549
|
27 |
Biswas A K, Bandyopadhyay S, Atulasimha J. Complete magnetization reversal in a magnetostrictive nanomagnet with voltage-generated stress: A reliable energy-efficient non-volatile magneto-elastic memory. Applied Physics Letters, 2014, 105(7): 072408
https://doi.org/10.1063/1.4893617
|
28 |
Biswas A K, Bandyopadhyay S, Atulasimha J. Energy-efficient magnetoelastic non-volatile memory. Applied Physics Letters, 2014, 104(23): 232403
https://doi.org/10.1063/1.4882276
|
29 |
Stoner E C, Wohlfarth E P. A mechanism of magnetic hysteresis in heterogeneous alloys. Philosophical Transactions of the Royal Society A: Mathematical, 1948, 240(826): 599–642
https://doi.org/ 10.1098/rsta.1948.0007
|
30 |
COMSOL Multiphysics. 2017. Retrieved from
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|