10 research outputs found
Tunneling Plasmonics in Bilayer Graphene
We report experimental signatures
of plasmonic effects due to electron tunneling between adjacent graphene
layers. At subnanometer separation, such layers can form either a
strongly coupled bilayer graphene with a Bernal stacking or a weakly
coupled double-layer graphene with a random stacking order. Effects
due to interlayer tunneling dominate in the former case but are negligible
in the latter. We found through infrared nanoimaging that bilayer
graphene supports plasmons with a higher degree of confinement compared
to single- and double-layer graphene, a direct consequence of interlayer
tunneling. Moreover, we were able to shut off plasmons in bilayer
graphene through gating within a wide voltage range. Theoretical modeling
indicates that such a plasmon-off region is directly linked to a gapped
insulating state of bilayer graphene, yet another implication of interlayer
tunneling. Our work uncovers essential plasmonic properties in bilayer
graphene and suggests a possibility to achieve novel plasmonic functionalities
in graphene few-layers
Pairwise correlation (r-squared) between the 6 SNPs on exon 5 of the CHRNA4 gene in our sample.
<p>The image was created using Haploview [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152984#pone.0152984.ref043" target="_blank">43</a>]. Genomic positions are given in hg19 coordinates.</p
Quartile-quartile boxplot with genotype rs1044396 effects on event-related potential N100 amplitude (standardized values at electrode position Cz) in the general population.
<p>a) <i>Top</i>: Genotype effects in the entire sample (males and females). <i>Bottom</i>: Genotype effects separately depicted for males and females. Stepwise linear regression analysis of the event-related potential N100 at vertex electrode position Cz, with age, gender, education, smoking status and study site as covariates and testing for up to 3-factor interactions among the predictors, revealed a significant genotype effect (for details see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152984#sec008" target="_blank">results</a> section). b) Functional neuroimaging sLORETA current density analyses of genotype groups with covariates age, gender, study site. <i>Top</i>: Current density for genotype groups (<i>P</i> < 0.01). <i>Bottom</i>: genotype group contrasts (t-values corrected for multiple testing). Independent of genotype, the strongest N100 activation maximum is seen in the left temporal lobe followed by a maximum in the frontal lobe mostly in the left hemisphere. This is consistent with intracortical recordings [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152984#pone.0152984.ref044" target="_blank">44</a>–<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152984#pone.0152984.ref046" target="_blank">46</a>] as well as earlier LORETA studies conducted by us [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152984#pone.0152984.ref021" target="_blank">21</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152984#pone.0152984.ref023" target="_blank">23</a>] using comparable task conditions. For details on genotype effects see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0152984#sec008" target="_blank">result</a> section.</p
Event-related potentials (ERPs) incl.
<p>N100 during auditory oddball task (target responses) at electrode positions Fz and Cz for rs1044396 genotype groups. Note: response curves are uncorrected for covariates.</p
Genotype Effects on N100 Event-Related Potential (Cz).
<p>Genotype Effects on N100 Event-Related Potential (Cz).</p