Rydberg Fingerprint Spectroscopy of Hot Molecules:  Structural Dispersion in Flexible Hydrocarbons

2006 ◽  
Vol 110 (34) ◽  
pp. 10212-10218 ◽  
Author(s):  
Michael P. Minitti ◽  
Job D. Cardoza ◽  
Peter M. Weber
2019 ◽  
Vol 7 (10) ◽  
pp. 1900118 ◽  
Author(s):  
Zhuo Li ◽  
Liangliang Liu ◽  
Antonio I. Fernández‐Domínguez ◽  
Jianfeng Shi ◽  
Changqing Gu ◽  
...  

1966 ◽  
Vol 1 (2) ◽  
pp. 150-152
Author(s):  
Yu. A. Shul'te ◽  
V. V. Lunev ◽  
M. N. Berkun ◽  
I. P. Volchok ◽  
S. I. Gladkin

2016 ◽  
Vol 2 (6) ◽  
pp. e1501790 ◽  
Author(s):  
Yue Li ◽  
Iñigo Liberal ◽  
Cristian Della Giovampaola ◽  
Nader Engheta

Engineering optical nanocircuits by exploiting modularization concepts and methods inherited from electronics may lead to multiple innovations in optical information processing at the nanoscale. We introduce the concept of “waveguide metatronics,” an advanced form of optical metatronics that uses structural dispersion in waveguides to obtain the materials and structures required to construct this class of circuitry. Using numerical simulations, we demonstrate that the design of a metatronic circuit can be carried out by using a waveguide filled with materials with positive permittivity. This includes the implementation of all “lumped” circuit elements and their assembly in a single circuit board. In doing so, we extend the concepts of optical metatronics to frequency ranges where there are no natural plasmonic materials available. The proposed methodology could be exploited as a platform to experimentally validate optical metatronic circuits in other frequency regimes, such as microwave frequency setups, and/or to provide a new route to design optical nanocircuitry.


2012 ◽  
Vol 51 (1-2) ◽  
pp. 56-63 ◽  
Author(s):  
Yu. N. Podrezov ◽  
V. A. Nazarenko ◽  
A. V. Laptev ◽  
A. I. Tolochin ◽  
Ya. I. Evich ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Z. R. Ismagilov ◽  
N. V. Shikina ◽  
N. A. Mazurkova ◽  
L. T. Tsikoza ◽  
F. V. Tuzikov ◽  
...  

To study the effect of nanoscale titanium dioxide (TiO2) on cell responses, we synthesized four modifications of the TiO2(amorphous, anatase, brookite, and rutile) capable of keeping their physicochemical characteristics in a cell culture medium. The modifications of nanoscale TiO2were obtained by hydrolysis of TiCl4and Ti(i-OC3H7)4(TIP) upon variation of the synthesis conditions; their textural, morphological, structural, and dispersion characteristics were examined by a set of physicochemical methods: XRD, BET, SAXS, DLS, AFM, SEM, and HR-TEM. The effect of synthesis conditions (nature of precursor, pH, temperature, and addition of a complexing agent) on the structural-dispersion properties of TiO2nanoparticles was studied. The hydrolysis methods providing the preparation of amorphous, anatase, brookite, and rutile modifications of TiO2nanoparticles 3–5 nm in size were selected. Examination of different forms of TiO2nanoparticles interaction with MDCK cells by transmission electron microscopy of ultrathin sections revealed different cell responses after treatment with different crystalline modifications and amorphous form of TiO2. The obtained results allowed us to conclude that direct contact of the nanoparticles with cell plasma membrane is the primary and critical step of their interaction and defines a subsequent response of the cell.


Nanophotonics ◽  
2020 ◽  
Vol 9 (15) ◽  
pp. 4609-4618
Author(s):  
Xinxiang Niu ◽  
Xiaoyong Hu ◽  
Cuicui Lu ◽  
Yan Sheng ◽  
Hong Yang ◽  
...  

AbstractBroadband dispersion free, large and ultrafast nonlinear material platforms comprise the essential foundation for the study of nonlinear optics, integrated optics, intense field optical physics, and quantum optics. Despite substantial research efforts, such material platforms have not been established up to now because of intrinsic contradictions between large nonlinear optical coefficient, broad operating bandwidth, and ultrafast response time. In this work, a broadband dispersion free, large and ultrafast nonlinear material platform based on broadband epsilon-near-zero (ENZ) material is experimentally demonstrated, which is designed through a novel physical mechanism of combining structural dispersion and material dispersion. The broadband ENZ material is constructed of periodically nanostructured indium tin oxide (ITO) films, and the structure is designed with the help of theoretical predictions combined with algorithm optimization. Within the whole broad ENZ wavelength range (from 1300 to 1500 nm), a wavelength-independent and large average nonlinear refractive index of −4.85 × 10−11 cm2/W, which is enlarged by around 20 times than that of an unstructured ITO film at its single ENZ wavelength, and an ultrafast response speed at the scale of Tbit/s are experimentally reached simultaneously. This work not only provides a new approach for constructing nonlinear optical materials but also lays the material foundation for the application of nanophotonics.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0244905
Author(s):  
Galkande Iresha Premarathna ◽  
Leif Ellingson

Many researchers have studied the relationship between the biological functions of proteins and the structures of both their overall backbones of amino acids and their binding sites. A large amount of the work has focused on summarizing structural features of binding sites as scalar quantities, which can result in a great deal of information loss since the structures are three-dimensional. Additionally, a common way of comparing binding sites is via aligning their atoms, which is a computationally intensive procedure that substantially limits the types of analysis and modeling that can be done. In this work, we develop a novel encoding of binding sites as covariance matrices of the distances of atoms to the principal axes of the structures. This representation is invariant to the chosen coordinate system for the atoms in the binding sites, which removes the need to align the sites to a common coordinate system, is computationally efficient, and permits the development of probability models. These can then be used to both better understand groups of binding sites that bind to the same ligand and perform classification for these ligand groups. We demonstrate the utility of our method for discrimination of binding ligand through classification studies with two benchmark datasets using nearest mean and polytomous logistic regression classifiers.


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