Synthesis and functionalization of poly(ether sulfone)s based on 1,1,1‐tris(4‐hydroxyphenyl)ethane

Kricheldorf, Hans R.; Vakhtangishvili, Lali; Fritsch, Detlev

doi:10.1002/pola.10372

Cited by 64 publications

(55 citation statements)

References 26 publications

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“…In any case, these membranes are not suitable for use in fuel cells before further modification. In a related modification, Kricheldorf et al have grafted sulfopropoxy and sulfobutoxy units onto polysulfones having pendant phenol units [42]. The grafting was achieved by reaction of the phenol units with either 1,3-propane sultone or 1,4-butane sultone, respectively, using K 2 CO 3 in NMP at 100 C. No data concerning the properties of these ionomers were reported.…”

Section: Ionically Crosslinked Sulfonated Poly(arylene Ether Sulfone)mentioning

confidence: 98%

Fuel Cell Membrane Materials by Chemical Grafting of Aromatic Main‐Chain Polymers

Jannasch¹

2005

Fuel Cells

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An extensive world‐wide pursuit for new efficient fuel cell membranes materials is currently motivating research on proton‐conducting ionomers based on durable aromatic main‐chain polymers. In this context, most ionomers have been prepared either by direct sulfonation of polymers, using for example fuming sulfuric acid, or by direct polymerizations using different sulfonated monomers. Far less exploited are chemical grafting reactions carried out to introduce sulfonic acid units, or alternative acidic units, directly on the polymer main‐chain, or on side‐chains to the polymer main‐chain. This versatile method offers very interesting possibilities, not only to control the degree and the site of sulfonation, but also when it comes to manipulating the molecular mobility of the sulfonic acid units and their distance from the polymer main‐chain. The length and nature of the grafted units have shown to have a large influence on for example the water‐uptake characteristics and conductivity of ionomer membranes, especially at temperatures above 100 °C. Grafting can also be used to introduce other useful functions to the polymers, or to crosslink membranes. This paper reviews various grafting reactions carried out on aromatic main‐chain polymers, especially polybenzimidazoles and polysulfones, to prepare membrane materials, as well as the characteristics of these materials regarding their use in fuel cells.

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Section: Ionically Crosslinked Sulfonated Poly(arylene Ether Sulfone)mentioning

confidence: 98%

Fuel Cell Membrane Materials by Chemical Grafting of Aromatic Main‐Chain Polymers

Jannasch¹

2005

Fuel Cells

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“…Selfcondensation of the AB 2 monomer to form hb-PAES was explored in three different ways: First, self-condensation of the AB 2 monomer was performed in the presence of a base such as K 2 CO 3 in a DMAc/toluene solvent system. Second, the AB 2 monomer was polymerized using cesium fluoride (CsF) in DMAc as solvent by stirring the mixture at 160 C for 10 h. Third, self-condensation of the AB 2 monomer was performed by using low monomer concentration in the presence of DMAc as solvent in a highly diluted solution. The structure of the AB 2 monomer was elucidated by 1 H-NMR and 13 C-NMR spectra and the peaks confirmed the proposed structure.…”

Section: Hyperbranched Poly(aryl Ether)s With a Sulfone Moietymentioning

confidence: 99%

Aromatic Hyperbranched Polymers: Synthesis and Application

Ghosh

Banerjee

Voit

2014

Porous Carbons – Hyperbranched Polymers – Polymer Solvation

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Hyperbranched (hb) polymers have been receiving increasing attention because of their unique architecture that results in an interesting set of unusual chemical and physical properties. Over the past decade quite a number of excellent reviews on hb polymers have been published by different research groups, covering various aspects of this class of polymers. This review will highlight the work on aromatic hb polymers of the last decade, emphasizing general synthetic strategies and recent development of alternative synthetic strategies, and discussing various aspects of hb polymers to demonstrate their wide range of applications.

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“…While a low- [8]. This model includes the rates (derived from experorder state was selected in previous studies using physiiments) of over one thousand possible events taking cal arguments [9,16], the detailed structure in a molecuplace on the surface.…”

Section: Ili Conclusion and Recommendationsmentioning

confidence: 99%

“…This is because of the fact that the data from the training simEssc, = ISt. -S'p12/IS'1I2 (8) ulations were used as an input in the system identification, where as our dynamic model was not as familiar where S'. and S'P are the normalized versions of S. and with some of the surface structures produced during the Sp: test simulations, especially at high film coverage.…”

Section: Surface Coverage (Ml)mentioning

confidence: 99%

Modeling and Control of State-Affine Probabilistic Systems for Atomic-Scale Dynamics

Gallivan¹

2007

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewng instructions, searching data sources. gatherng and maintaining the data needed. and completing and reviewing the collection of information Send comments regarding this burden estimate or any other aspect of this collection of information, induding suggestiors for reducing this burden to Washington Headquarters Service, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, rlhington, VA 22202-4302 Sf. WORK UNIT NUMBER PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) 8. PERFORMING ORGANIZATION Georgia Institute of Technology REPORT NUMBERAtlanta, GA 30332 AFRL-SR-AR-R-07-0 4 2 8 SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10, SPONSORIMONITOR'S ACRONYM(S)AFOSR SUPPLEMENTARY NOTES14. ABSTRACT Under this research grant, the framework and tools were developed for model reduction of atomic-scale many body systems. The state-affine mathematical structure of the original and reduced order models enabled the implementation of control through dynamic programming and estimation through an extended Kalman filter, The state of the high-dimensional stochastic system is first quantified using a high-dimensional pair correlation function. This state is then reduced using linear and nonlinear principal component analysis and is discretized using self-organizing maps. To create the dynamic model, a cell map is constructed using short simulations to quantify input-dependent transitions between the discrete states. The error associated with the model reduction was quantified and analyzed, and a method for predicting this error was proposed. Specific applications in materials processing were considered, which motivated and guided the development of the model reduction framework and tools. An existing model of gallium arsenide deposition was used to demonstrate the model reduction framework. A second modeling study in the molecular architecture of hyperbranched polymers was performed, and enabled a comparison of common themes and system specific features between the two different applications. SUBJECT TERMSMonte Carlo simulation, model reduction, gallium arsenide, hyperbranched polymers ABSTRACTUnder this research grant, the framework and tools were developed for model reduction of atomic-scale many body systems. The state-affine mathematical structure of the original and reduced-order models enabled the implementation of control through dynamic programming and estimation through an extended Kalman filter. In the framework developed here, the state of the high-dimensional stochastic system is first quantified using a high-dimensional pair correlation function. This state is then reduced using linear and nonlinear principal component analysis and is discretized using self-organizing maps. To create the dynamic model, a cell map is constructed using short simulations to quantify input-dependent transitions between the discrete states. The error associa...

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Synthesis and functionalization of poly(ether sulfone)s based on 1,1,1‐tris(4‐hydroxyphenyl)ethane

Cited by 64 publications

References 26 publications

Fuel Cell Membrane Materials by Chemical Grafting of Aromatic Main‐Chain Polymers

Fuel Cell Membrane Materials by Chemical Grafting of Aromatic Main‐Chain Polymers

Aromatic Hyperbranched Polymers: Synthesis and Application

Modeling and Control of State-Affine Probabilistic Systems for Atomic-Scale Dynamics

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