نتایج جستجو برای: molecular graphs

تعداد نتایج: 731290  

N-Cyclohexyl-2,4,4-trimethyl-2,3,4,5-tetrahydro-1H-benzo[b][1,5]diazepine-2-carboxamide (5) was synthesized using an efficient, highly recyclable and eco-friendly catalyst heteropolyacid/triethoxysilyl)propyl]isonicotinamide (HPA/TPI-Fe3O4 nanoparticles) in one-pot. The compound 5 was characterized by FT-IR,1H NMR, 13C NMR, mass spectra, and elemental analysis. The theoretical calculations on 5...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت دبیر شهید رجایی - پژوهشکده علوم 1393

در این پایان نامه دو مقاله زیر بررسی شده اند، که اولی در مورد رنگ آمیزی موقعیت یاب و عدد رنگی موقعیت یاب گراف ها است و دیگری همه ی درخت های با عدد رنگی موقعیت یابی 3 را مشخص می کند. همچنین در این پایان نامه عدد رنگی موقعیت یاب گراف های مسیر، دور، کامل، دوبخشی، ستاره ها، درخت های دو ستاره و کاترپیلارها را مشخص می کند.

Journal: :journal of linear and topological algebra (jlta) 0
f ramezani department of basic science , imam khomeini international university, qazvin, iran. e vatandoost department of basic science , imam khomeini international university, qazvin, iran.

‎‎let r be a non-commutative ring with unity‎. ‎the commuting graph‎ ‎of $r$ denoted by $gamma(r)$‎, ‎is a graph with a vertex set‎ ‎$rsetminus z(r)$ and two vertices $a$ and $b$ are adjacent if and only if‎ ‎$ab=ba$‎. ‎in this paper‎, ‎we investigate non-commutative rings with unity of order $p^n$ where $p$ is prime and $n in lbrace 4,5 rbrace$‎. it is shown that‎, ‎$gamma(r)$ is the disjoint ...

Journal: :International Journal of Chemical and Process Engineering Research 2014

2011
Laurin AJ Mueller Matthias Dehmer

The characterization of chemical compounds based on their molecular graphs is an important task for identifying properties such as toxicity or mutagenicity. We used different groups of topological descriptors using the AMES mutagenicity data. Instead of optimizing the classification performance, the aim of this study is to perform a structural analysis of the underlying set of molecular graphs ...

Journal: :CoRR 2018
Wengong Jin Regina Barzilay Tommi S. Jaakkola

We seek to automate the design of molecules based on specific chemical properties. In computational terms, this task involves continuous embedding and generation of molecular graphs. Our primary contribution is the direct realization of molecular graphs, a task previously approached by generating linear SMILES strings instead of graphs. Our junction tree variational autoencoder generates molecu...

Journal: :Match 2023

The aim of this paper is to investigate resonance graphs 2- connected outerplane bipartite graphs, which include various families molecular graphs. Firstly, we present an algorithm for a binary coding perfect matchings these Further, with isomorphic are considered. In particular, it shown that if two evenly homeomorphic, then its isomorphic. Moreover, prove any 2-connected graph G there exists ...

P. JOHN P. KHADIKAR S. AZIZ

Structural codes vis-a-vis structural counts, like polynomials of a molecular graph, are important in computing graph-theoretical descriptors which are commonly known as topological indices. These indices are most important for characterizing carbon nanotubes (CNTs). In this paper we have computed Sadhana index (Sd) for phenylenes and their hexagonal squeezes using structural codes (counts). Sa...

2012
Kexiang Xu

The Hosoya index of a (molecular) graph is defined as the total number of the matchings, including the empty edge set, of this graph. Let Un,d be the set of connected unicyclic (molecular) graphs of order n with diameter d. In this paper we completely characterize the graphs from Un,d minimizing the Hosoya index and determine the values of corresponding indices. Moreover, the third smallest Hos...

2015
David K. Duvenaud Dougal Maclaurin Jorge Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy Hirzel Alán Aspuru-Guzik Ryan P. Adams

Predicting properties of molecules requires functions that take graphs as inputs. Molecular graphs are usually preprocessed using hash-based functions to produce fixed-size fingerprint vectors, which are used as features for making predictions. We introduce a convolutional neural network that operates directly on graphs, allowing end-to-end learning of the feature pipeline. This architecture ge...

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