Hydrogen-Deuterium Exchange Catalysed by Chromia-Alumina Solid Solutions

Autor: Stone, F. S., Vickerman, J. C.

Publikováno v: Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, 1977 May . 354(1678), 331-347.

Externí odkaz: https://www.jstor.org/stable/79233

Organics at Surfaces, their Detection and Analysis by Static Secondary Ion Mass Spectrometry [and Discussion]

Autor: Paul, A. J., Vickerman, J. C., Grasserbauer, M., Cooksey, K. E., Mantoura, R. F. C., Evans, B., Albery, W. J.

Publikováno v: Philosophical Transactions: Physical Sciences and Engineering, 1990 Oct . 333(1628), 147-158.

Externí odkaz: https://www.jstor.org/stable/76781

Surface analysis [electronic resource] : the principal techniques / [edited by] John Vickerman, Ian Gilmore.

Externí odkaz: Kolekce e-knih KNAV Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.

NeuroSpectraNet - a self-organising neural network mechanism for interpretation of complex SSIMS spectra

Autor: Sanni, O. D., Alex Henderson, Briggs, D., Vickerman, J. C.

Publikováno v: Sanni, O D, Henderson, A, Briggs, D & Vickerman, J C 2000, NeuroSpectraNet-a self-organising neural network mechanism for interpretation of complex SSIMS spectra . in Second. Ion Mass Spectrom., SIMS XII, Proc. Int. Conf., 12th . pp. 805-808 . < http://www.manchester.ac.uk/sarc/publications/neurospectranet.pdf >
University of Manchester-PURE

NeuroSpectraNet demonstrated that neural processing power can be harnessed for anal. of SSIMS spectra. If a spectrum similar to an unknown exist in NeuroSpectraNet's database, it would efficiently and correctly identify the unknown in a matter of sec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6102fd981984d74eef3984c1083f1610
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:132614

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