Search results for "Gibbs"

showing 10 items of 164 documents

Calculation of organic solvent–water partition coefficients of iron–sulfur protein models

2002

Abstract A method is presented that permits semiquantitative estimation of the partitioning of many solutes between many pairs of media. As an example, the organic solvent–water partition coefficients P are calculated. The only needed parameters are the dielectric constant and molecular volume of the organic solvent. Fe 4 S 4 Cys n models of high-potential FeS proteins are studied. The Gibbs free energies of solvation and partition coefficients for Fe 4 S 4 Cys n are calculated. The organic solvent–water partition coefficients for 1-octanol P o , cyclohexane P ch and chloroform P cf decrease 4.41, 6.22 and 4.60 log units per cysteine (Cys) ligand, respectively. P o results are compared with…

ChloroformbiologyCyclohexaneLigandStereochemistryOrganic solventAnalytical chemistrySolvationGibbs free energyInorganic ChemistryPartition coefficientchemistry.chemical_compoundsymbols.namesakeIron-sulfur proteinchemistryMaterials Chemistrybiology.proteinsymbolsPhysical and Theoretical ChemistryPolyhedron
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Universal model for the calculation of all organic solvent–water partition coefficients

1998

Abstract We present the basis for building a universal organic solvation model to calculate solubility in any organic solvent and in water, as well as the organic solvent–water partition coefficient ( P ). Log P values are of the same order of magnitude as reference calculations but for a few cases which are discussed. Normalized log P contributions are sensitive to the rest of the atoms. When comparing porphin with phthalocyanine, the latter results in an amphipathic molecule. For C 70 , the contribution of a–e carbons to log P correlates with the distances from the nearest pentagon. The method has been also applied to benzobisthiazole oligomers and phenyl alcohols.

ChromatographyOrganic ChemistrySolvationThermodynamicsGeneral MedicineBiochemistryAnalytical ChemistryGibbs free energyPartition coefficientsymbols.namesakechemistry.chemical_compoundchemistrysymbolsPhthalocyanineMoleculeOrganic chemistrySolubilityOrder of magnitudePorphinJournal of Chromatography A
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Nickel(II), copper(II) and zinc(II) metallo-intercalators: structural details of the DNA-binding by a combined experimental and computational investi…

2014

We present a thorough characterization of the interaction of novel nickel(II) (1), copper(II) (2) and zinc(II) (3) Schiff base complexes with native calf thymus DNA (ct-DNA), in buffered aqueous solution at pH 7.5. UV-vis absorption, circular dichroism (CD) and viscometry titrations provided clear evidence of the intercalative mechanism of the three square-planar metal complexes, allowing us to determine the intrinsic DNA-binding constants (K(b)), equal to 1.3 × 10(7), 2.9 × 10(6), and 6.2 × 10(5) M(-1) for 1, 2 and 3, respectively. Preferential affinity, of one order of magnitude, toward AT compared to GC base pair sequences was detected by UV-vis absorption titrations of 1 with [poly(dG-d…

Circular dichroismXASIntercalation (chemistry)Inorganic chemistryMolecular Dynamics SimulationInorganic ChemistryMetalbioinorganic chemistrychemistry.chemical_compoundsymbols.namesakeCoordination ComplexesNickelSchiff BasesX-ray absorption spectroscopySchiff baseAqueous solutionExtended X-ray absorption fine structureCircular DichroismDNAcomputational chemistrySettore CHIM/08 - Chimica FarmaceuticaIntercalating AgentsGibbs free energyZincCrystallographyX-Ray Absorption SpectroscopychemistrySettore CHIM/03 - Chimica Generale E Inorganicavisual_artsymbolsvisual_art.visual_art_mediumSpectrophotometry UltravioletCopper
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Complex miscibility behaviour for polymer blends in flow

1995

Abstract Experimental observations of the effect of shear flow on the miscibility of binary polymer blends are compared to calculations based on a generalized Gibbs energy of mixing Gγ˙. This mixing free energy characterizes the steady state established at shear rateγ˙, as the sum of G z , the equilibrium Gibbs energy and E s , the energy the system stores while flowing.

Cloud pointMaterials sciencePolymers and PlasticsOrganic ChemistryBinary numberThermodynamicsMiscibilityGibbs free energyCondensed Matter::Soft Condensed MatterPhysics::Fluid Dynamicssymbols.namesakeShear (geology)Materials ChemistrysymbolsPolymer blendComposite materialShear flowPolymer
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Phase diagrams of the system tetrahydrofuran/γ-butyrolactone/poly(ether imide) and determination of interaction parameters

1998

Abstract The thermodynamic interactions in the ternary mixture tetrahydrofuran/γ-butyrolactone/poly(ether imide) (THF/γ-BL/PEI) are investigated from 30 to 50°C. This is a membrane-forming system with a high He-selectivity. Cloud point measurements show that the two binary polymer solutions THF/PEI and γ-BL/PEI exhibit miscibility gaps which close towards the centre of the ternary phase diagram where the mixtures become homogeneous (cosolvency). Vapour pressures were determined for the subsystem THF/γ-BL. For the theoretical calculations the Gibbs energy of mixing is formulated according to the Flory-Huggins theory and the interaction parameter χ THF γ-BL calculated from the vapour pressure…

Cloud pointPolymers and PlasticsOrganic ChemistryEtherFlory–Huggins solution theoryMiscibilityGibbs free energychemistry.chemical_compoundsymbols.namesakechemistryMaterials ChemistrysymbolsPhysical chemistryOrganic chemistryTernary operationTetrahydrofuranPhase diagramPolymer
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Shear influence on the phase separation of oligomer blends

1994

Shear influences on the phase separation behaviour of four different blends of ethylene glycol/propylene glycol oligomers, exhibiting upper critical solution temperatures, were investigated. Cloud point curves at rest (turbidity measurements) are reported for all systems, spinodal conditions (light scattering) and tie-lines (analysis of the coexisting phases) are given for some examples. Phase diagrams under shear were obtained from rheological data. They demonstrate that the demixing temperatures of systems where both glycols bear OH end-groups are lowered up to ca. 1°C by shear rates of 1000s−1; the critical composition, generalized to the non-equilibrium conditions of flow, is markedly s…

Cloud pointSpinodalPolymers and PlasticsOrganic Chemistrytechnology industry and agricultureThermodynamicsCondensed Matter PhysicsLight scatteringGibbs free energyCondensed Matter::Soft Condensed Mattersymbols.namesakechemistry.chemical_compoundchemistryShear (geology)Polymer chemistryMaterials ChemistrysymbolsOrganic chemistryPhysics::Chemical PhysicsPhysical and Theoretical ChemistryShear flowEthylene glycolPhase diagramMacromolecular Chemistry and Physics
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Fake Nodes approximation for Magnetic Particle Imaging

2020

Accurately reconstructing functions with discontinuities is the key tool in many bio-imaging applications as, for instance, in Magnetic Particle Imaging (MPI). In this paper, we apply a method for scattered data interpolation, named mapped bases or Fake Nodes approach, which incorporates discontinuities via a suitable mapping function. This technique naturally mitigates the Gibbs phenomenon, as numerical evidence for reconstructing MPI images confirms.

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONradial basis functionsFunction (mathematics)Magnetic Particle ImagingClassification of discontinuitieskernelsinterpolationGibbs phenomenonSettore MAT/08 - Analisi Numericasymbols.namesakeMagnetic particle imagingsymbolsKey (cryptography)Radial basis functioninterpolation; kernels; Magnetic Particle Imaging; radial basis functionsGFadial basis functionAlgorithmComputingMethodologies_COMPUTERGRAPHICSInterpolation2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON)
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Recycling Gibbs sampling

2017

Gibbs sampling is a well-known Markov chain Monte Carlo (MCMC) algorithm, extensively used in signal processing, machine learning and statistics. The key point for the successful application of the Gibbs sampler is the ability to draw samples from the full-conditional probability density functions efficiently. In the general case this is not possible, so in order to speed up the convergence of the chain, it is required to generate auxiliary samples. However, such intermediate information is finally disregarded. In this work, we show that these auxiliary samples can be recycled within the Gibbs estimators, improving their efficiency with no extra cost. Theoretical and exhaustive numerical co…

Computer scienceMonte Carlo methodSlice samplingMarkov processProbability density function02 engineering and technologyMachine learningcomputer.software_genre01 natural sciencesHybrid Monte Carlo010104 statistics & probabilitysymbols.namesake[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineering0101 mathematicsComputingMilieux_MISCELLANEOUSbusiness.industryRejection samplingEstimator020206 networking & telecommunicationsMarkov chain Monte CarlosymbolsArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingcomputerAlgorithmGibbs sampling2017 25th European Signal Processing Conference (EUSIPCO)
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Efficient anomaly detection on sampled data streams with contaminated phase I data

2020

International audience; Control chart algorithms aim to monitor a process over time. This process consists of two phases. Phase I, also called the learning phase, estimates the normal process parameters, then in Phase II, anomalies are detected. However, the learning phase itself can contain contaminated data such as outliers. If left undetected, they can jeopardize the accuracy of the whole chart by affecting the computed parameters, which leads to faulty classifications and defective data analysis results. This problem becomes more severe when the analysis is done on a sample of the data rather than the whole data. To avoid such a situation, Phase I quality must be guaranteed. The purpose…

Computer scienceSample (material)0211 other engineering and technologies02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]01 natural sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing010104 statistics & probabilitysymbols.namesake[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]ChartControl chartEWMA chart0101 mathematics021103 operations researchData stream miningbusiness.industryPattern recognition[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]OutliersymbolsAnomaly detection[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Artificial intelligence[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessGibbs sampling
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Structure and Thermodynamics of Binary Mixtures (Solutions)

2014

The concepts of chapter 2 are generalized to binary liquid mixtures (solutions). With the help of the concept of number and concentration fluctuations contact to the thermodynamics of solutions and physical chemistry of solutions is made. The perturbative RPA is shown to be equivalent to Flory’s theory of regular solutions. The phase diagrams of regular solutions and metal-salt solutions are discussed and explained in terms of the theories.

Condensed Matter::Soft Condensed MatterPhysicssymbols.namesakesymbolsRegular solutionStructure (category theory)Binary numberThermodynamicsGibbs free energyPhase diagram
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