Conformational analysis of phosphorus polymers with flame retardant property

The phosphorous, halogen and nitrogen-containing polymers have excellent thermal stability and good flame retardant properties. In this paper the monomer structure of 4-(l, 1,1,3,3,3- hexafluoro-2 -phenylpropan-2 -yl)phenyl diphenyl phosphate was simulated by molecular mechanics calculations using the MMFF94s force field included in the Omega software. The conformations thus obtained were further minimized by the semiempirical RM1 method included in the MOP AC 2009 software The Omega conformation of minimum energy was energy optimized by the Hartree-Fock Self-Consistend Field (RHF) method, in order to obtain a stable structure. Structural compound features which characterize the most stable energetically conformations obtained by molecular mechanics and quantum chemical methods were compared with experimental data, yielding a unified structure

Half and Half nails in a healthy person

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Thermal behavior of the copolymers based on styrylphosphonic acid

The main property of copolymers containing phosphonic acid group at side chain is the proton conductivity, therefore there copolymers have strong metal complexation properties, due to the presence of phosphonic group. The copolymers of styrylphosphonic acid and acrylic monomer at different molar ratios were synthesized by thermal polymerization and charcterized by FTIR, thermal analysis and ionexchange capacity. The copolymers present good ion-exchange capacity and can be used as potential ion exchangers

Synthesis and characterization of a new metal organic framework

The synthesis of a new metal-phosphonate is described in this paper. Mg2+ vinylphosphonate has been synthesized by using an equimolecular ratio of reagents in hydrothermal conditions. The compound has been characterized by X-Ray and IR spectroscopy, scanning electron microscopy (SEM), atomic force microscopy (AFM), thermo gravimetry (TG) and quantum chemical calculations. Last method have been used to establish supramolecular pores size and to predict synthesized compound ability to filter hydrogen, methane, carbon dioxide, carbon monoxide, sulphur dioxide and benzene gases

Mass-spectrometry used in characterization of pigments

Naphthol AS pigmens synthesised by RPTC were characterized by M2 mass spectrometry. The rezults show that this technique is not very a reliable method for characterization of such compounds

Evolutionary Computation Paradigm to Determine Deep Neural Networks Architectures

Image classification is usually done using deep learning algorithms. Deep learning architectures are set deterministically. The aim of this paper is to propose an evolutionary computation paradigm that optimises a deep learning neural network’s architecture. A set of chromosomes are randomly generated, after which selection, recombination, and mutation are applied. At each generation the fittest chromosomes are kept. The best chromosome from the last generation determines the deep learning architecture. We have tested our method on a second trimester fetal morphology database. The proposed model is statistically compared with DenseNet201 and ResNet50, proving its competitiveness

Adsorption of phenolic compounds from water on polymeric adsorbents with olefin groups

Removal and recovery of aromatic pollutants from water by solid adsorbents have been of considerable concern recently. In this paper, adsorption of phenolic compounds from aqueous solution onto a polymeric adsorbent with olefin groups at temperatures from 297 K was studied

Porphyrin based-systems for the detection of recoverable metals from Li-Ion batteries : mini-review

The collection and recycling of metals, especially heavy metals, from all types of batteries is a major requirement of European Countries. Market studies highlighted that in the rechargeable battery field, lithium batteries are environmental friendly alternatives to the more polluting Ni-Cd batteries. Although lithium is not expected to bioaccumulate and its human and environmental toxicity are low, one source of lithium with impact to the environment is spent lithium batteries, due to the large variety of Li salts incorporated in polymer electrolyte membranes. Concerning to cathode, new trends are based on nanostructured lithium iron and manganese phosphate. Whatever are the metals involved in the cathode of batteries (Co-NiMn-Fe) the problem of controlling the efficiency of metals recovery is implying the use of sensor devices. In this paper we are concerned on porphyrin -based sensor devices for the rapid and accurate detection of Li, Ni, Mn