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Items: 1 to 20 of 77

1.

The use of artificial neural networks in electrostatic force microscopy.

Castellano-Hernández E, Rodríguez FB, Serrano E, Varona P, Sacha GM.

Nanoscale Res Lett. 2012 May 15;7(1):250. doi: 10.1186/1556-276X-7-250.

2.

An inverse problem solution for undetermined electrostatic force microscopy setups using neural networks.

Sacha GM, Rodríguez FB, Varona P.

Nanotechnology. 2009 Feb 25;20(8):085702. doi: 10.1088/0957-4484/20/8/085702. Epub 2009 Feb 3.

PMID:
19417463
3.

Enhanced dielectric constant resolution of thin insulating films by electrostatic force microscopy.

Castellano-Hernández E, Moreno-Llorena J, Sáenz JJ, Sacha GM.

J Phys Condens Matter. 2012 Apr 18;24(15):155303. doi: 10.1088/0953-8984/24/15/155303. Epub 2012 Mar 23.

4.

Contrast inversion in electrostatic force microscopy imaging of trapped charges: tip-sample distance and dielectric constant dependence.

Riedel C, Alegría A, Arinero R, Colmenero J, Sáenz JJ.

Nanotechnology. 2011 Aug 26;22(34):345702. doi: 10.1088/0957-4484/22/34/345702. Epub 2011 Jul 28.

PMID:
21795775
5.

Quantitative dielectric constant measurement of thin films by DC electrostatic force microscopy.

Gramse G, Casuso I, Toset J, Fumagalli L, Gomila G.

Nanotechnology. 2009 Sep 30;20(39):395702. doi: 10.1088/0957-4484/20/39/395702. Epub 2009 Sep 2.

PMID:
19724109
6.

Nanoscale dielectric properties of insulating thin films: from single point measurements to quantitative images.

Riedel C, Schwartz GA, Arinero R, Tordjeman P, Lévêque G, Alegría A, Colmenero J.

Ultramicroscopy. 2010 May;110(6):634-8. doi: 10.1016/j.ultramic.2010.02.024. Epub 2010 Feb 23.

PMID:
20206448
7.

Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research.

Agatonovic-Kustrin S, Beresford R.

J Pharm Biomed Anal. 2000 Jun;22(5):717-27. Review.

PMID:
10815714
8.

What can artificial neural networks teach us about neurodegenerative disorders with extrapyramidal features?

Litvan I, DeLeo JM, Hauw JJ, Daniel SE, Jellinger K, McKee A, Dickson D, Horoupian DS, Lantos PL, Tabaton M.

Brain. 1996 Jun;119 ( Pt 3):831-9.

PMID:
8673495
9.

Finite-size effects and analytical modeling of electrostatic force microscopy applied to dielectric films.

Gomila G, Gramse G, Fumagalli L.

Nanotechnology. 2014 Jun 27;25(25):255702. doi: 10.1088/0957-4484/25/25/255702. Epub 2014 Jun 4.

PMID:
24897410
10.

Broadband nanodielectric spectroscopy by means of amplitude modulation electrostatic force microscopy (AM-EFM).

Schwartz GA, Riedel C, Arinero R, Tordjeman P, Alegría A, Colmenero J.

Ultramicroscopy. 2011 Jul;111(8):1366-9. doi: 10.1016/j.ultramic.2011.05.001. Epub 2011 May 19.

PMID:
21864778
11.

Uncertainty in the output of artificial neural networks.

Jiang Y.

IEEE Trans Med Imaging. 2003 Jul;22(7):913-21.

PMID:
12906245
12.

Nanodielectric mapping of a model polystyrene-poly(vinyl acetate) blend by electrostatic force microscopy.

Riedel C, Arinero R, Tordjeman P, Lévêque G, Schwartz GA, Alegria A, Colmenero J.

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Jan;81(1 Pt 1):010801. Epub 2010 Jan 8.

PMID:
20365314
13.

Stability problems with artificial neural networks and the ensemble solution.

Cunningham P, Carney J, Jacob S.

Artif Intell Med. 2000 Nov;20(3):217-25.

PMID:
10998588
14.

A new constructive algorithm for architectural and functional adaptation of artificial neural networks.

Islam MM, Sattar MA, Amin MF, Yao X, Murase K.

IEEE Trans Syst Man Cybern B Cybern. 2009 Dec;39(6):1590-605. doi: 10.1109/TSMCB.2009.2021849. Epub 2009 Jun 5.

PMID:
19502131
15.

The jump-into-contact effect in biased AFM probes on dielectric films and its application to quantify the dielectric permittivity of thin layers.

Revilla RI.

Nanotechnology. 2016 Jul 1;27(26):265705. doi: 10.1088/0957-4484/27/26/265705. Epub 2016 May 20.

PMID:
27199351
16.

Numerical study of the lateral resolution in electrostatic force microscopy for dielectric samples.

Riedel C, Alegría A, Schwartz GA, Colmenero J, Sáenz JJ.

Nanotechnology. 2011 Jul 15;22(28):285705. doi: 10.1088/0957-4484/22/28/285705. Epub 2011 Jun 7.

PMID:
21646694
17.

Channel selection and classification of electroencephalogram signals: an artificial neural network and genetic algorithm-based approach.

Yang J, Singh H, Hines EL, Schlaghecken F, Iliescu DD, Leeson MS, Stocks NG.

Artif Intell Med. 2012 Jun;55(2):117-26. doi: 10.1016/j.artmed.2012.02.001. Epub 2012 Apr 12.

18.

Statistical inference: learning in artificial neural networks.

Hua Yang H, Murata N, Amari S.

Trends Cogn Sci. 1998 Jan 1;2(1):4-10.

PMID:
21244956
19.

Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?

Balabin RM, Lomakina EI.

Phys Chem Chem Phys. 2011 Jun 28;13(24):11710-8. doi: 10.1039/c1cp00051a. Epub 2011 May 19.

PMID:
21594265
20.

Artificial neural networks for drug vulnerability recognition and dynamic scenarios simulation.

Buscema M, Intraligi M, Bricolo R.

Subst Use Misuse. 1998 Feb;33(3):587-623.

PMID:
9533732

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