A two-dimensional molecular network structure of trimesic acid prepared by adsorption-induced self-organizationElectronic supplementary information (ESI) available: materials and methods. See http://www.rsc.org/suppdata/cc/b2/b207556c/

2002 ◽  
pp. 2652-2653 ◽  
Author(s):  
Yudai Ishikawa ◽  
Akihiro Ohira ◽  
Masayo Sakata ◽  
Chuichi Hirayama ◽  
Masashi Kunitake
Keyword(s):  
Network Structure ◽  
Molecular Network ◽  
Supplementary Information ◽  
Two Dimensional ◽  
Trimesic Acid

scholarly journals Dynamic Reliability Modeling of Three-State Networks

2014 ◽  
Vol 51 (4) ◽  
pp. 999-1020 ◽  
Author(s):  
S. Ashrafi ◽  
M. Asadi
Keyword(s):  
Network Structure ◽  
Single Step ◽  
Two Dimensional ◽  
Reliability Modeling ◽  
Stochastic Orderings ◽  
Dynamic Reliability ◽  
Network States ◽  
Dynamic Signature ◽  
Stochastic Properties ◽  
Residual Lifetimes

This paper is an investigation into the reliability and stochastic properties of three-state networks. We consider a single-step network consisting of n links and we assume that the links are subject to failure. We assume that the network can be in three states, up (K = 2), partial performance (K = 1), and down (K = 0). Using the concept of the two-dimensional signature, we study the residual lifetimes of the networks under different scenarios on the states and the number of failed links of the network. In the process of doing so, we define variants of the concept of the dynamic signature in a bivariate setting. Then, we obtain signature based mixture representations of the reliability of the residual lifetimes of the network states under the condition that the network is in state K = 2 (or K = 1) and exactly k links in the network have failed. We prove preservation theorems showing that stochastic orderings and dependence between the elements of the dynamic signatures (which relies on the network structure) are preserved by the residual lifetimes of the states of the network (which relies on the network ageing). Various illustrative examples are also provided.

scholarly journals Covalent assembly of a two-dimensional molecular “sponge” on a Cu(111) surface: confined electronic surface states in open and closed pores

2014 ◽  
Vol 50 (57) ◽  
pp. 7628-7631 ◽  
Author(s):  
Aneliia Shchyrba ◽  
Susanne C. Martens ◽  
Christian Wäckerlin ◽  
Manfred Matena ◽  
Toni Ivas ◽  
...  
Keyword(s):  
Surface States ◽  
Two Dimensional ◽  
New Class ◽  
Trimesic Acid ◽  
Electronic Surface

We present a new class of on-surface covalent reactions, formed between diborylene-3,4,9,10-tetraaminoperylene and trimesic acid on Cu(111), which gives rise to a porous 2D-‘sponge’.

scholarly journals Tris(1,10-phenanthroline-κ2 N,N′)cobalt(II) bis(2,4,5-tricarboxybenzoate) monohydrate

IUCrData ◽  
2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Kai-Long Zhong ◽  
Guo-Qing Cao ◽  
Wei Song ◽  
Chao Ni
Keyword(s):  
Hydrogen Bonds ◽  
Network Structure ◽  
Rotation Axis ◽  
Complex Cation ◽  
Three Dimensional ◽  
Two Dimensional ◽  
Dimensional Network ◽  
Distorted Octahedral

In the complex cation of the title salt, [Co(C12H8N2)3](C10H5O8)2·H2O, the CoII cation is situated on a twofold rotation axis and is coordinated in a distorted octahedral manner by six N atoms from three chelating 1,10-phenanthroline (phen) ligands. In the crystal, the non-coordinating 2,4,5-tricarboxybenzoate anions interact with each other via O—H...O hydrogen bonds, generating a two-dimensional network parallel to (100). Adjacent sheets are connected by waterO—H...Ocarboxylate hydrogen bonds, resulting in a three-dimensional network structure that surrounds the complex cations.

Poly[deca-μ2-cyanido-dicyanidobis(μ2-ethylenediamine)bis(ethylenediamine)tricadmium(II)dicobalt(III)]: a two-dimensional coordination polymer

2009 ◽  
Vol 65 (3) ◽  
pp. m118-m120
Author(s):  
Olha Sereda ◽  
Helen Stoeckli-Evans
Keyword(s):  
Coordination Polymer ◽  
Network Structure ◽  
General Position ◽  
Rotation Axis ◽  
Three Dimensional ◽  
The Other ◽  
Dimensional Structure ◽  
Two Dimensional ◽  
Asymmetric Unit ◽  
Dimensional Network

The title coordination polymer, [Cd3Co2(CN)12(C2H8N2)4]n, has an infinite two-dimensional network structure. The asymmetric unit is composed of two crystallographically independent CdIIatoms, one of which is located on a twofold rotation axis. There are two independent ethylenediamine (en) ligands, one of which bis-chelates to the Cd atom that sits in a general position, while the other bridges this Cd atom to that sitting on the twofold axis. The Cd atom located on the twofold rotation axis is linked to four equivalent CoIIIatomsviacyanide bridges, while the Cd atom that sits in a general position is connected to three equivalent CoIIIatomsviacyanide bridges. In this way, a series of trinuclear, tetranuclear and pentanuclear macrocycles are linked to form a two-dimensional network structure lying parallel to thebcplane. In the crystal structure, these two-dimensional networks are linkedviaN—H...N hydrogen bonds involving an en NH2H atom and a cyanide N atom, leading to the formation of a three-dimensional structure. This coordination polymer is only the second example involving a cyanometallate where the en ligand is present in both chelating and bridging coordination modes.

Di-μ-2-sulfonatobenzoato-bis[aqua(1,10-phenanthroline)copper(II)] trihydrate

2006 ◽  
Vol 62 (4) ◽  
pp. m875-m877
Author(s):  
Wei-Bing Zhang ◽  
Shuang-Di Ruan ◽  
Shu-Juan Zhu ◽  
Hong-Ping Xiao ◽  
Sai-Ya Ye
Keyword(s):  
Hydrogen Bond ◽  
Network Structure ◽  
Title Compound ◽  
Intermolecular Hydrogen Bond ◽  
Two Dimensional ◽  
Bridging Ligands ◽  
Pyramidal Geometry ◽  
Hydrogen Bond Interactions ◽  
Dimensional Network ◽  
Square Pyramidal Geometry

In the title compound, [Cu2(C7H4O5S)2(C12H8N2)2(H2O)2]·3H2O, each copper(II) atom is coordinated by two N atoms from one 1,10-phenanthroline molecule, two carboxylate O atoms from two 2-sulfonatobenzoato dianions and one aqua O atom in a distorted square pyramidal geometry. The 2-sulfonatobenzoato dianions function as μ2-bridging ligands in the formation of a dinuclear complex. Intermolecular hydrogen-bond interactions link the dinuclear units into a two-dimensional network structure.

scholarly journals GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks

2020 ◽  
Vol 36 (Supplement_1) ◽  
pp. i464-i473
Author(s):  
Kapil Devkota ◽  
James M Murphy ◽  
Lenore J Cowen
Keyword(s):  
Network Structure ◽  
Biological Networks ◽  
Link Prediction ◽  
Prediction Method ◽  
Global Network ◽  
Local Network ◽  
Supplementary Information ◽  
Network Data ◽  
Ppi Network ◽  
Diffusion State

Abstract Motivation One of the core problems in the analysis of biological networks is the link prediction problem. In particular, existing interactions networks are noisy and incomplete snapshots of the true network, with many true links missing because those interactions have not yet been experimentally observed. Methods to predict missing links have been more extensively studied for social than for biological networks; it was recently argued that there is some special structure in protein–protein interaction (PPI) network data that might mean that alternate methods may outperform the best methods for social networks. Based on a generalization of the diffusion state distance, we design a new embedding-based link prediction method called global and local integrated diffusion embedding (GLIDE). GLIDE is designed to effectively capture global network structure, combined with alternative network type-specific customized measures that capture local network structure. We test GLIDE on a collection of three recently curated human biological networks derived from the 2016 DREAM disease module identification challenge as well as a classical version of the yeast PPI network in rigorous cross validation experiments. Results We indeed find that different local network structure is dominant in different types of biological networks. We find that the simple local network measures are dominant in the highly connected network core between hub genes, but that GLIDE’s global embedding measure adds value in the rest of the network. For example, we make GLIDE-based link predictions from genes known to be involved in Crohn’s disease, to genes that are not known to have an association, and make some new predictions, finding support in other network data and the literature. Availability and implementation GLIDE can be downloaded at https://bitbucket.org/kap_devkota/glide. Supplementary information Supplementary data are available at Bioinformatics online.

Two-dimensional rigid molecular network with elastic boundaries for constructing hybrid molecular assemblies

2009 ◽  
Vol 19 (10) ◽  
pp. 1490 ◽  
Author(s):  
Xiaojing Ma ◽  
Yibao Li ◽  
Xiaohui Qiu ◽  
Keqing Zhao ◽  
Yanlian Yang ◽  
...  
Keyword(s):  
Molecular Network ◽  
Two Dimensional ◽  
Molecular Assemblies
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