Ultrahigh magnetoresistance at room temperature in molecular wires.

Systems featuring large magnetoresistance (MR) at room temperature and in small magnetic fields are attractive owing to their potential for applications in magnetic field sensing and data storage. Usually, the magnetic properties of materials are exploited to achieve large MR effects. Here, we report on an exceptionally large (>2000%), room-temperature, small-field (a few millitesla) MR effect in one-dimensional, nonmagnetic systems formed by molecular wires embedded in a zeolite host crystal. This ultrahigh MR effect is ascribed to spin blockade in one-dimensional electron transport. Its generic nature offers very good perspectives to exploit the effect in a wide range of low-dimensional systems.

Magnetic-field dependence of the electroluminescence of organic light-emitting diodes: a competition between exciton formation and spin mixing.

We explore the magnetoelectroluminescence (MEL) of organic light-emitting diodes by evaluating the magnetic-field dependent fraction of singlet excitons formed. We use two- and multisite polaron-hopping models with spin mixing by hyperfine fields and different singlet and triplet exciton formation rates k(S) and k(T). A huge MEL is predicted when exciton formation is in competition with spin mixing and when k(T) is significantly larger than k(S). This competition also leads to a low-field structure in the MEL that is in agreement with recent experiments.

Generalization of independent response model for toxic mixtures.

Interaction between toxic compounds has long been known to researchers. Attempts to model this interaction have been based on two basic paradigms--termed additivity and independence (1, 2). Previous models based on these assumptions focused on measuring the interaction between the compounds and then classifying the type of interaction as synergism, antagonism, additivity or independence (3, 4). The aim of this work is to present a generalization of the independent action hypothesis that is quantitatively capable of describing deviations regardless of the underlying single component dose response models. The mathematical framework of copulas is employed. This approach is then tested against data sets with both human health and ecological risk applications.