2006
DOI: 10.1063/1.2356097
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Observation of negative differential resistance and hysteretic effect on buriti oil:polystyrene organic devices

Abstract: Articles you may be interested inInvestigation of three-terminal organic-based devices with memory effect and negative differential resistance Appl. Phys. Lett. 95, 103305 (2009); 10.1063/1.3224201 Memory effect and negative differential resistance in tris-(8-hydroxy quinoline) aluminum/bathocuproine bilayer devices Appl. Phys. Lett. 93, 083301 (2008); 10.1063/1.2973902Room temperature observation of negative differential resistance effect using ZnO nanocrystal structure with double Schottky barriers

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Cited by 11 publications
(12 citation statements)
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“…Polystyrene (PS) and poly(methyl)-methacrylate (PMMA) matrices were recently modified with buriti (Mauritia flexuosa L.) oil (rich in carotenoids) showing good thermal stability and mechanical properties [8,18]. Besides that, these materials exhibit photoluminescence in the visible region and also can absorb UV-vis radiation [8,19].…”
Section: Introduction Smentioning
confidence: 99%
“…Polystyrene (PS) and poly(methyl)-methacrylate (PMMA) matrices were recently modified with buriti (Mauritia flexuosa L.) oil (rich in carotenoids) showing good thermal stability and mechanical properties [8,18]. Besides that, these materials exhibit photoluminescence in the visible region and also can absorb UV-vis radiation [8,19].…”
Section: Introduction Smentioning
confidence: 99%
“…Figure. 3. Current-voltage characteristics of buriti oil single-layer device (2). The + symbols indicate the data points and the solid line is the neural network approximation.…”
Section: Results and Analysismentioning
confidence: 99%
“…After that, a bibliographic research was the second step in order to acquire different characteristics curves of RTDs, but always trying to find those ones that can operate at room temperature and have the smallest area -that way we can work with very low power. Five final curves were selected and, from them, the required data (2,7,13,14). Using the radial basis neural network in MATLAB, an approximation of each curve was made.…”
Section: Methodsmentioning
confidence: 99%
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