Snake states and Klein tunneling in a graphene Hall bar with a pn-junction

Autor: Barbiër, Michael, Papp, György, Peeters, François M.

Publikováno v: Appl. Phys. Lett. 100, 163121 (2012)

The Hall (RH) and bend (RB) resistance of a graphene Hall bar structure containing a pn-junction are calculated when in the ballistic regime. The simulations are done using the billiard model. Introducing a pn-junction--dividing the Hall bar geometry

Externí odkaz: http://arxiv.org/abs/1204.4662

Single-layer and bilayer graphene superlattices: collimation, additional Dirac points and Dirac lines

Autor: Barbier, Michaël, Vasilopoulos, Panagiotis, Peeters, François M.

Publikováno v: Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2010 Dec . 368(1932), 5499-5524.

Externí odkaz: https://www.jstor.org/stable/25753490

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Complex in vitro and in vivo prostate cancer models for the PREDECT consortium:Abstract

Autor: Vidic, Suzana, Esser, Norbert, de Hoogt, Ronald, Verberne, Ingrid, Kogan-Sakin, Ira, Yan Stein, Yan, Rotter, Varda, Barbier, Michael, Chong, Yolanda, Breucker, Sabine D., Smans, Karine, Akerfelt, Malin, Nees, Matthias, King, Peter, Hickson, Ian, van Weerden, Wytske, Graeser, Ralph

Publikováno v: Vidic, S, Esser, N, de Hoogt, R, Verberne, I, Kogan-Sakin, I, Yan Stein, Y, Rotter, V, Barbier, M, Chong, Y, Breucker, S D, Smans, K, Akerfelt, M, Nees, M, King, P, Hickson, I, van Weerden, W & Graeser, R 2014, ' Complex in vitro and in vivo prostate cancer models for the PREDECT consortium : Abstract ', Cancer Research, vol. 74, no. 19 Supplement, 2023 . https://doi.org/10.1158/1538-7445.AM2014-2023

The failure of many drugs in the clinic - drugs proven to be active in pre-clinical assays - has raised question marks on the predictive power of these models, often based on cell line data. The divergence of these cell lines from the original tumors

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=355e65625b88::a5dfae5ea98c39b7cef52e723594e84d
https://cris.vtt.fi/en/publications/bb70fdee-e6d3-4e05-9186-7ea7d2d747ef

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