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Transversal growth microstructures of quasicrystalline Ti-Zr-Ni films

Autor: Brien, Valerie, Dauscher, A., Weisbecker, P., Ghanbaja, J., Machizaud, F

Publikováno v: Journal of Crystal Growth, Elsevier, 2003, 256 (3-4), pp.407-415

Pulsed laser deposition from a Nd:YAG laser was employed in production of hundreds of nanometer thick quasicrystalline Ti-Zr-Ni films on glass substrate. The influence of deposition temperature Ts on the structure, morphology and microstructure of th

Externí odkaz: http://arxiv.org/abs/2010.12366

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Optical reflectivity as a simple diagnostic method for testing structural quality of icosahedral quasicrystals

Autor: Brien, Valerie, Dauscher, Anne, Machizaud, F.

Publikováno v: Journal of Applied Physics, American Institute of Physics, 2006, 100 (4), pp.043503

Optical reflectivity as a simple diagnostic method for testing structural quality of icosahedral quasicrystals 2 The optical reflectivity of Al-based and Ti-based quasicrystalline and approximant samples were investigated versus the quality of their

Externí odkaz: http://arxiv.org/abs/2010.12364

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Growth of a textured quasicrystalline phase in Ti-Ni-Zr films prepared by pulsed laser deposition

Autor: Brien, Valerie, Dauscher, A., Weisbecker, P., Machizaud, F.

Publikováno v: Applied physics. A, Materials science & processing, Springer Verlag, 2003, 76 (2), pp.187-195

The preparation in thin film form of the known icosahedral phase in Ti-Ni-Zr bulk alloys has been investigated as a function of substrate temperature. Films were deposited by Pulsed Laser Deposition on sapphire substrates at temperatures ranging from

Externí odkaz: http://arxiv.org/abs/2009.14646

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Akademický článek

Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)

Autor: Michael A. Marchetti, Emily A. Cowen, Nicholas R. Kurtansky, Jochen Weber, Megan Dauscher, Jennifer DeFazio, Liang Deng, Stephen W. Dusza, Helen Haliasos, Allan C. Halpern, Sharif Hosein, Zaeem H. Nazir, Ashfaq A. Marghoob, Elizabeth A. Quigley, Trina Salvador, Veronica M. Rotemberg

Publikováno v: npj Digital Medicine, Vol 6, Iss 1, Pp 1-11 (2023)

Abstract The use of artificial intelligence (AI) has the potential to improve the assessment of lesions suspicious of melanoma, but few clinical studies have been conducted. We validated the accuracy of an open-source, non-commercial AI algorithm for

Externí odkaz: https://doaj.org/article/56027b2782934ffdb65875d660f6452e