scholarly journals Modeling of low-dimensional carbon nanostructures: an efficient approach based on chemical criteria

2010 ◽  
Vol 7 (11-12) ◽  
pp. 2632-2635 ◽  
Author(s):  
Francesco Mercuri
Keyword(s):  
Carbon Nanostructures ◽  
Efficient Approach ◽  
Low Dimensional

Towards nano-organic chemistry: perspectives for a bottom-up approach to the synthesis of low-dimensional carbon nanostructures

Nanoscale ◽  
2012 ◽  
Vol 4 (2) ◽  
pp. 369-379 ◽  
Author(s):  
Francesco Mercuri ◽  
Matteo Baldoni ◽  
Antonio Sgamellotti
Keyword(s):  
Organic Chemistry ◽  
Carbon Nanostructures ◽  
Bottom Up ◽  
Low Dimensional

The supramolecular design of low-dimensional carbon nano-hybrids encoding a polyoxometalate-bis-pyrene tweezer

2014 ◽  
Vol 50 (38) ◽  
pp. 4881-4883 ◽  
Author(s):  
Gloria Modugno ◽  
Zois Syrgiannis ◽  
Aurelio Bonasera ◽  
Mauro Carraro ◽  
Gabriele Giancane ◽  
...  
Keyword(s):  
Self Assembly ◽  
Carbon Nanostructures ◽  
Micro Scale ◽  
Scale Yielding ◽  
Low Dimensional ◽  
Guest Chemistry

The host–guest chemistry of the POM-tweezer drives self-assembly with carbon nanostructures in the nano- to micro-scale yielding 0-, 1-, and 2-D nano-hybrids.

Nanostructured surfaces from ligand-protected metal nanoparticles

2020 ◽  
Vol 49 (41) ◽  
pp. 14314-14319
Author(s):  
Xin Li ◽  
Yiming Guo ◽  
Hai Cao
Keyword(s):  
Metal Nanoparticles ◽  
Nanostructured Surfaces ◽  
Efficient Approach ◽  
Low Dimensional

Using ligand-protected nanoparticles to create low-dimensional nanostructures on the surfaces represents a facile and efficient approach to fabricate nanostructured surfaces.

scholarly journals Optimal Linear Arrangement of Turán Graphs

2020 ◽  
Vol 8 (6) ◽  
pp. 3618-3621
Keyword(s):  
Parallel Processing ◽  
Dimensional Space ◽  
Graph Embedding ◽  
Optimal Layout ◽  
Linear Arrangement ◽  
Efficient Approach ◽  
Optimal Linear ◽  
Low Dimensional ◽  
Processing Techniques ◽  
Turán Graph

Graph embedding in parallel processing techniques has acquired considerable attention and hence raised as an efficient approach for reducing overhead data into low-dimensional space. Optimal layout and congestion are powerful parameters to examine the capability of embedding. In this study, Modified Congestion and  -Partition lemmas are utilized to obtain the optimal layout of Turán graph into path and windmill graphs.

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