Automated probe microscopy via evolutionary optimization at the atomic scale

Applied Physics Letters

Volumn 98, Issue 25, 2011, Pages

  Woolley, Richard A J ^a   Stirling, Julian ^a   Radocea, Adrian ^b   Krasnogor, Natalio ^a   Moriarty, Philip ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b School of Operations Research and Industrial Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATOMIC RESOLUTION IMAGES; ATOMIC SCALE; AUTOMATED OPTIMIZATION; EVOLUTIONARY OPTIMIZATIONS; IMAGING PROTOCOL; PROBE MICROSCOPY; SCANNING PROBES;

OPTIMIZATION; PROBES;

ATOMS;

EID: 79959583565     PISSN: 00036951     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.3600662     Document Type: Article

References (20)

1. R. D. King, J. Rowland, S. G. Oliver, M. Young, W. Aubrey, E. Byrne, M. Liakata, M. Markham, P. Pir, L. N. Soldatova, A. Sparkes, K. E. Whelan, and A. Clare, Science 0036-8075 324, 85 (2009). 10.1126/science.1165620
2. D. Zeidler, S. Frey, K. L. Kompa, and M. Motzkus, Phys. Rev. A 1050-2947 64, 023420 (2001). 10.1103/PhysRevA.64.023420
3. R. Toth, C. Stone, A. Adamatzky, B. de Lacy Costello, and L. Bull, J. Chem. Phys. 0021-9606 129, 184708 (2008). 10.1063/1.2932252
4. W. Rohringer, R. Bucker, S. Manz, T. Betz, C. Koller, M. Gobel, A. Perrin, J. Schmiedmayer, and T. Schumm, Appl. Phys. Lett. 0003-6951 93, 264101 (2008). 10.1063/1.3058756
5. E. L. Byrne, Proceedings of the 2007 GECCO Conference Companion on Genetic and Evolutionary Computation (ACM, New York, NY, 2007).
6. J. H. Holland, Adaptation in Natural and Artificial Systems (The University of Michigan Press, Ann Arbor, MI, 1975).
7. N. Dugan and S. Erkoc, Mater. Manuf. Processes 1042-6914 24, 250 (2009). 10.1080/10426910802675830
8. P. Siepmann, C. P. Martin, I. Vancea, P. Moriarty, and N. Krasnogor, Nano Lett. 1530-6984 7, 1985 (2007). 10.1021/nl070773m (Pubitemid 47197578)
9. L. Gross, F. Mohn, N. Moll, P. Liljeroth, and G. Meyer, Science 0036-8075 325, 1110 (2009). 10.1126/science.1176210
10. J. A. Stroscio and R. J. Celotta, Science 0036-8075 306, 242 (2004). 10.1126/science.1102370 (Pubitemid 39336863)
11. M. Ternes, C. P. Lutz, C. F. Hirjibehedin, F. J. Giessibl, and A. J. Heinrich, Science 0036-8075 319, 1066 (2008). 10.1126/science.1150288 (Pubitemid 351300783)
12. Y. Sugimoto, P. Pou, M. Abe, P. Jelinek, R. Perez, S. Morita, and O. Custance, Nature (London) 0028-0836 446, 64 (2007). 10.1038/nature05530 (Pubitemid 46348038)
13. E. Cisternas, F. Stavale, M. Flores, C. A. Achete, and P. Vargas, Phys. Rev. B 0556-2805 79, 205431 (2009). 10.1103/PhysRevB.79.205431
14. G. Terrazas, P. Siepmann, G. Kendall, and N. Krasnogor, J. Cell. Auto. 2, 77 (2007).
15. E. Alba and B. Dorronsoro, Cellular Genetic Algorithms (Springer, New York, 2008).
16. N. Q. Huy, Y. S. Ong, M. H. Lim, and N. Krasnogor, Evol. Comput. 1063-6560 17, 231 (2009). 10.1162/evco.2009.17.2.231
17. See supplementary material at http://dx.doi.org/10.1063/1.3600662 E-APPLAB-98-090124 for more details on the cellular genetic algorithm approach we have used.
18. M. Sipper, Evolution of Parallel Cellular Machines: The Cellular Programming Approach (Springer, Berlin, 1997).
19. F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, IEEE Trans. Med. Imaging 0278-0062 16, 187 (1997). 10.1109/42.563664
20. B. J. Albers, T. C. Schwendemann, M. Z. Baykara, N. Pilet, M. Liebmann, E. I. Altman, and U. D. Schwarz, Nat. Nanotechnol. 1748-3387 4, 307 (2009). 10.1038/nnano.2009.57