SCOPUS 정보 검색 플랫폼

Physical Review Letters

Volumn 103, Issue 15, 2009, Pages

Disorder identification in hysteresis data: Recognition analysis of the random-bond-random-field ising model

(5) Ovchinnikov, O S a Jesse, S b Bintacchit, P c Trolier Mckinstry, S c Kalinin, S V b

a UNIVERSITY OF TENNESSEE (United States)

b OAK RIDGE NATIONAL LABORATORY (United States)

c PENNSYLVANIA STATE UNIVERSITY (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRECT IDENTIFICATIONS; MODEL PARAMETERS; PARAMETER SPACES; PHYSICAL SYSTEMS; POLARIZATION SWITCHING; POLYCRYSTALLINE FERROELECTRICS; RANDOM FIELD ISING MODELS;

CAPACITORS; HYSTERESIS; HYSTERESIS LOOPS; IDENTIFICATION (CONTROL SYSTEMS); ISING MODEL; MAGNETIC MATERIALS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 70349881648 PISSN: 00319007 EISSN: 10797114 Source Type: Journal
DOI: 10.1103/PhysRevLett.103.157203 Document Type: Article

Times cited : (43)

References (18)

1
- 0003517281
- Cambridge University Press, Cambridge, England
- P.M. Chaikin and T.C. Lubensky, Principles of Condensed Matter Physics (Cambridge University Press, Cambridge, England, 2000).
- (2000) Principles of Condensed Matter Physics
- Chaikin, P.M.¹ Lubensky, T.C.²

2
- 33846240672
- Oxford University Press, New York
- J.P. Sethna, Statistical Mechanics: Entropy, Order Parameters, and Complexity (Oxford University Press, New York, 2006).
- (2006) Statistical Mechanics: Entropy, Order Parameters, and Complexity
- Sethna, J.P.¹

3
- 0043230411
- RMPHAT 0034-6861 10.1103/RevModPhys.58.801
- K. Binder and A.P. Young, Rev. Mod. Phys. 58, 801 (1986). RMPHAT 0034-6861 10.1103/RevModPhys.58.801
- (1986) Rev. Mod. Phys. , vol.58 , pp. 801
- Binder, K.¹ Young, A.P.²

4
- 0001646306
- RPPHAG 0034-4885 10.1088/0034-4885/60/5/001
- K. Binder, Rep. Prog. Phys. 60, 487 (1997). RPPHAG 0034-4885 10.1088/0034-4885/60/5/001
- (1997) Rep. Prog. Phys. , vol.60 , pp. 487
- Binder, K.¹

5
- 33746577353
- PRBMDO 1098-0121 10.1103/PhysRevB.74.020405
- H.G. Katzgraber, G.T. Zimanyi, Phys. Rev. B PRBMDO 1098-0121 74, 020405 (2006). 10.1103/PhysRevB.74.020405
- (2006) Phys. Rev. B , vol.74 , pp. 020405
- Katzgraber, H.G.¹ Zimanyi, G.T.²

6
- 0000611058
- PRLTAO 0031-9007 10.1103/PhysRevLett.56.1518
- I.D. Mayergoyz, Phys. Rev. Lett. 56, 1518 (1986). PRLTAO 0031-9007 10.1103/PhysRevLett.56.1518
- (1986) Phys. Rev. Lett. , vol.56 , pp. 1518
- Mayergoyz, I.D.¹

7
- 70349861786
- arXiv:0811.2206.
- J.G. Ramírez, A. Sharoni, Y. Dubi, M.E. Gomez, and I.K. Schuller, arXiv:0811.2206.
- Ramírez, J.G.¹ Sharoni, A.² Dubi, Y.³ Gomez, M.E.⁴ Schuller, I.K.⁵

8
- 34848846271
- PRBMDO 1098-0121 10.1103/PhysRevB.76.092408
- H.G. Katzgraber, D. Herisson, and M. Östh, Phys. Rev. B PRBMDO 1098-0121 76, 092408 (2007). 10.1103/PhysRevB.76.092408
- (2007) Phys. Rev. B , vol.76 , pp. 092408
- Katzgraber, H.G.¹ Herisson, D.² Östh, M.³

9
- 67349259578
- Wiley, Hoboken
- Z. Chen, S. Haykin, J.J. Eggermont, and S. Becker, Correlative Learning: A Basis for Brain and Adaptive Systems (Wiley, Hoboken, 2007).
- (2007) Correlative Learning: A Basis for Brain and Adaptive Systems
- Chen, Z.¹ Haykin, S.² Eggermont, J.J.³ Becker, S.⁴

10
- 0003413187
- MacMillan, London
- S. Haykin, Neural Networks: A Comprehensive Foundation (MacMillan, London, 2008).
- (2008) Neural Networks: A Comprehensive Foundation
- Haykin, S.¹

11
- 0003946510
- Springer, New York
- I.T. Jolliffe, Principal Component Analysis (Springer, New York, 2002).
- (2002) Principal Component Analysis
- Jolliffe, I.T.¹

12
- 65549117009
- NNOTER 0957-4484 10.1088/0957-4484/20/8/085714
- S. Jesse and S.V. Kalinin, Nanotechnology 20, 085714 (2009). NNOTER 0957-4484 10.1088/0957-4484/20/8/085714
- (2009) Nanotechnology , vol.20 , pp. 085714
- Jesse, S.¹ Kalinin, S.V.²

13
- 34247548180
- Auerbach, Boca Raton
- S. Samarasinghe, Neural Networks for Applied Sciences and Engineering (Auerbach, Boca Raton, 2006).
- (2006) Neural Networks for Applied Sciences and Engineering
- Samarasinghe, S.¹

14
- 70349873194
- See EPAPS Document No., E-PRLTAO-103-028943 for supplementary information on the recognition analysis for the 2D parameter set. For more information on EPAPS, see
- See EPAPS Document No. E-PRLTAO-103-028943 for supplementary information on the recognition analysis for the 2D parameter set. For more information on EPAPS, see http://www.aip.org/pubservs/epaps.html.

15
- 68749118503
- PRLTAO 0031-9007 10.1103/PhysRevLett.103.057601
- K. Seal, S. Jesse, S.V. Kalinin, and I. Fujii, Phys. Rev. Lett. 103, 057601 (2009). PRLTAO 0031-9007 10.1103/PhysRevLett.103.057601
- (2009) Phys. Rev. Lett. , vol.103 , pp. 057601
- Seal, K.¹ Jesse, S.² Kalinin, S.V.³ Fujii, I.⁴

16
- 22144452555
- APPLAB 0003-6951 10.1063/1.1977183
- V. Nagarajan, S. Aggarwal, and A. Gruverman, Appl. Phys. Lett. 86, 262910 (2005). APPLAB 0003-6951 10.1063/1.1977183
- (2005) Appl. Phys. Lett. , vol.86 , pp. 262910
- Nagarajan, V.¹ Aggarwal, S.² Gruverman, A.³

17
- 0001567385
- JAPIAU 0021-8979 10.1063/1.1325005
- F. Xu, S. Trolier-McKinstry, and W. Ren, J. Appl. Phys. 89, 1336 (2001). JAPIAU 0021-8979 10.1063/1.1325005
- (2001) J. Appl. Phys. , vol.89 , pp. 1336
- Xu, F.¹ Trolier-Mckinstry, S.² Ren, W.³

18
- 34250909760
- ZEPYAA 0044-3328 10.1007/BF01349418
- F. Preisach, Z. Phys. ZEPYAA 0044-3328 94, 277 (1935). 10.1007/BF01349418
- (1935) Z. Phys. , vol.94 , pp. 277
- Preisach, F.¹

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.