Two-Dimensional Self-Organization of Gold Nanoparticles on Supramolecular Aggregates

2006 ◽  
Vol 6 (6) ◽  
pp. 1847-1849
Author(s):  
Sudeshna Chattopadhyay ◽  
Alokmay Datta
Langmuir ◽  
2007 ◽  
Vol 23 (5) ◽  
pp. 2843-2850 ◽  
Author(s):  
Hélène Yockell-Lelièvre ◽  
Jessie Desbiens ◽  
Anna M. Ritcey

2001 ◽  
Vol 46 (12) ◽  
pp. 996-998 ◽  
Author(s):  
Peng Jiang ◽  
Sishen Xie ◽  
Jiannian Yao ◽  
Shengtai He ◽  
Haoxu Zhang ◽  
...  

2021 ◽  
Author(s):  
Huanan Yu ◽  
Wentao Qu ◽  
Feng Liu ◽  
Georg H. Mehl

Gold nanoparticles (NPs) were surface functionalized with hexanethiol groups and chiral nematic discogen ligands. A superlattice, liquid crystal behaviour and helix formation of the discs and a second helical organisation of the NPs were detected.


2010 ◽  
Vol 19 (03) ◽  
pp. 427-436
Author(s):  
A. MENDOZA-GARCÍA ◽  
A. ROMERO-DEPABLOS ◽  
M. A. ORTEGA ◽  
J. L. PAZ ◽  
L. ECHEVARRÍA

We have developed an analytical method to describe the optical properties of nanoparticles, whose results are in agreement with the observed experimental behavior according to the size of the nanoparticle under analysis. Our considerations to describe plasmonic absorption and dispersion are based on the combination of the two-level molecular system and the two-dimensional quantum box models. Employing the optical stochastic Bloch equations, we have determined the system's coherence, from which we have calculated expressions for the absorption coefficient and refractive index. The innovation of this methodology is that it allows us to take into account the solvent environment, which induce quantum effects not considered by classical treatments.


1999 ◽  
Vol 56 (10) ◽  
pp. 609-616
Author(s):  
Masashi KUNITAKE ◽  
Akihiro OHIRA ◽  
Shinobu UEMURA ◽  
Masayo SAKATA ◽  
Chuichi HIRAYAMA

2019 ◽  
Author(s):  
Skirmantas Janušonis ◽  
Nils Detering ◽  
Ralf Metzler ◽  
Thomas Vojta

ABSTRACTAll vertebrate brains contain a dense matrix of thin fibers that release serotonin (5-hydroxytryptamine), a neurotransmitter that modulates a wide range of neural, glial, and vascular processes. Perturbations in the density of this matrix have been associated with a number of mental disorders, including autism and depression, but its self-organization and plasticity remain poorly understood. We introduce a model based on reflected Fractional Brownian Motion (FBM), a rigorously defined stochastic process, and show that it recapitulates some key features of regional serotonergic fiber densities. Specifically, we use supercomputing simulations to model fibers as FBM-paths in two-dimensional brain-like domains and demonstrate that the resultant steady state distributions approximate the fiber distributions in physical brain sections immunostained for the serotonin transporter (a marker for serotonergic axons in the adult brain). We suggest that this framework can support predictive descriptions and manipulations of the serotonergic matrix and that it can be further extended to incorporate the detailed physical properties of the fibers and their environment.


2009 ◽  
pp. 7155 ◽  
Author(s):  
Gustavo Fernández ◽  
Fátima García ◽  
Fátima Aparicio ◽  
Emilio Matesanz ◽  
Luis Sánchez

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