References
347
137. R.A. Wincheski, M. Namkung, S.M. Paik, J. Smits, Carbon nanotube based magnetic tunnel
junctions for electromagnetic nondestructive evaluation. Mater. Res. Soc. Symp. Proc. 721,
E6.10.1–E.6.10.5 (2002)
138. R.A. Wincheski, M. Namkung, P. Williams, J. Smits, Four terminal carbon nanotube sensor
for magnetic field measurement, in Presented at 2004 MRS Spring Meeting, April 14, San
Francisco (2004)
139. R.A. Wincheski, J.-W. Kim, G. Sauti, E. Wainwright, P. Williams, E.J. Siochi, Nondestructive
evaluation techniques for development and characterization of carbon nanotube based
superstructures, in Presented at the Annual Review of Progress in Quantitative Nondestructive
Evaluation (2014)
140. M.-F. Wong, J. Carette, A. Hadjem, J. Wiart, Stochastic electromagnetic modeling with
uncertain dielectric properties using FDTD, in 24th Annual Review of Progress in Applied
Computational Electromagnetics, ACES, Niagara Falls (2008), pp. 450–455
141. J.M. Wozencraft, I.M. Jacobs, Principles of Communication Engineering (Wiley, New York,
1965)
142. D. Xiu, Efficient collocational approach for parametric uncertainty analysis. Commun.
Comput. Phys. 2(2), 293–309 (2007)
143. D. Xiu, Numerical Methods for Stochastic Computations: A Spectral Method Approach
(Princeton University Press, Princeton, 2010)
144. X. Xu, J. Qiu, H. Ji, T. Takagi, Detection of delamination in laminated CFRP composites using
eddy current testing: simultion and experimental study. Int. J. Appl. Electromagn. Mech. 57,
177–192 (2018)
145. F. Yu, P.B. Nagy, Numerical method for calculating the apparent eddy current conductivity
loss on randomly rough surfaces. J. App. Phys. 95, 8340–8351 (2004)
146. N. Zabaras, Solving stochastic inverse problems: a sparse grid collocation approach, in
Computational Methods for Large-Scale Inverse Problems and Quantification of Uncertainty,
ed. by People on Earth (Wiley, Hoboken, 2001)
147. R. Zorgati, et al., IEEE Trans. Magn. 27(6), 4416–4431 (1991)
347
137. R.A. Wincheski, M. Namkung, S.M. Paik, J. Smits, Carbon nanotube based magnetic tunnel
junctions for electromagnetic nondestructive evaluation. Mater. Res. Soc. Symp. Proc. 721,
E6.10.1–E.6.10.5 (2002)
138. R.A. Wincheski, M. Namkung, P. Williams, J. Smits, Four terminal carbon nanotube sensor
for magnetic field measurement, in Presented at 2004 MRS Spring Meeting, April 14, San
Francisco (2004)
139. R.A. Wincheski, J.-W. Kim, G. Sauti, E. Wainwright, P. Williams, E.J. Siochi, Nondestructive
evaluation techniques for development and characterization of carbon nanotube based
superstructures, in Presented at the Annual Review of Progress in Quantitative Nondestructive
Evaluation (2014)
140. M.-F. Wong, J. Carette, A. Hadjem, J. Wiart, Stochastic electromagnetic modeling with
uncertain dielectric properties using FDTD, in 24th Annual Review of Progress in Applied
Computational Electromagnetics, ACES, Niagara Falls (2008), pp. 450–455
141. J.M. Wozencraft, I.M. Jacobs, Principles of Communication Engineering (Wiley, New York,
1965)
142. D. Xiu, Efficient collocational approach for parametric uncertainty analysis. Commun.
Comput. Phys. 2(2), 293–309 (2007)
143. D. Xiu, Numerical Methods for Stochastic Computations: A Spectral Method Approach
(Princeton University Press, Princeton, 2010)
144. X. Xu, J. Qiu, H. Ji, T. Takagi, Detection of delamination in laminated CFRP composites using
eddy current testing: simultion and experimental study. Int. J. Appl. Electromagn. Mech. 57,
177–192 (2018)
145. F. Yu, P.B. Nagy, Numerical method for calculating the apparent eddy current conductivity
loss on randomly rough surfaces. J. App. Phys. 95, 8340–8351 (2004)
146. N. Zabaras, Solving stochastic inverse problems: a sparse grid collocation approach, in
Computational Methods for Large-Scale Inverse Problems and Quantification of Uncertainty,
ed. by People on Earth (Wiley, Hoboken, 2001)
147. R. Zorgati, et al., IEEE Trans. Magn. 27(6), 4416–4431 (1991)