Relevant bibliographies by topics / Molecular weight distribution

Academic literature on the topic 'Molecular weight distribution'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Molecular weight distribution"

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Tobita, Hidetaka, Yoshiyasu Yamamoto, and Kenji Ito. "Molecular weight distribution in random crosslinking of polymers: Modality of the molecular weight distribution." Macromolecular Theory and Simulations 3, no. 6 (November 1994): 1033–49. http://dx.doi.org/10.1002/mats.1994.040030607.

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Mahabadi, H. Kh, and L. Alexandru. "Molecular weight – viscosity relationships for a broad molecular weight distribution polymer." Canadian Journal of Chemistry 63, no. 1 (January 1, 1985): 221–22. http://dx.doi.org/10.1139/v85-035.

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A novel and simple method is described for evaluation of molecular weight – viscosity relationships for a polymer where only broad molecular weight distribution samples are available. The method demands measurement of the intrinsic viscosity and GPC chromatograms of several samples. Results of applying the procedure to bisphenol A – Diethyleneglycol (50:50) copolycarbonate are presented.
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Ansari, Mahmoud, Yong W. Inn, Ashish M. Sukhadia, Paul J. DesLauriers, and Savvas G. Hatzikiriakos. "Wall slip of HDPEs: Molecular weight and molecular weight distribution effects." Journal of Rheology 57, no. 3 (May 2013): 927–48. http://dx.doi.org/10.1122/1.4801758.

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Göbelt, Bernd. "Molecular weight distribution in living polymerization." Progress in Organic Coatings 55, no. 2 (February 2006): 189–93. http://dx.doi.org/10.1016/j.porgcoat.2005.07.012.

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Siochi, E. J., and T. C. Ward. "ABSOLUTE MOLECULAR WEIGHT DISTRIBUTION OF NITROCELLULOSE." Journal of Macromolecular Science, Part C: Polymer Reviews 29, no. 4 (November 1989): 561–657. http://dx.doi.org/10.1080/07366578908050890.

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Ewart, John A. D. "Calculated molecular weight distribution for glutenin." Journal of the Science of Food and Agriculture 38, no. 3 (1987): 277–89. http://dx.doi.org/10.1002/jsfa.2740380312.

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Ouano, Augustus C., and Philip L. Mercier. "The molecular weight distribution of polypropylene." Journal of Polymer Science Part C: Polymer Symposia 21, no. 1 (March 8, 2007): 309–15. http://dx.doi.org/10.1002/polc.5070210127.

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Pepperl, G. "Molecular weight distribution of commercial PVC." Journal of Vinyl and Additive Technology 6, no. 2 (June 2000): 88–92. http://dx.doi.org/10.1002/vnl.10229.

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Tobita, Hidetaka, Yuko Takada, and Mamoru Nomura. "Molecular Weight Distribution in Emulsion Polymerization." Macromolecules 27, no. 14 (July 1994): 3804–11. http://dx.doi.org/10.1021/ma00092a020.

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Southan, M., and F. MacRitchie. "Molecular Weight Distribution of Wheat Proteins." Cereal Chemistry Journal 76, no. 6 (November 1999): 827–36. http://dx.doi.org/10.1094/cchem.1999.76.6.827.

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Dissertations / Theses on the topic "Molecular weight distribution"

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Adebekun, Aderinola Kolawole. "On-line control of molecular weight distribution." Thesis, Georgia Institute of Technology, 1986. http://hdl.handle.net/1853/12039.

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Liu, Nannan 1973. "Molecular weight distribution of long chain branched polyethylene." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79248.

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To fully understand the properties of Long Chain Branched Metallocene Polyethylene (LCB mPE), we need to understand its molecular structure and Molecular Weight Distribution (MWD). Gel Permeation Chromatography (GPC) is the most important and widely applied technique to measure the MWD. In this analytical technique, polymer molecules are fractionated by their hydrodynamic volume (i.e. the sizes of polymer molecules in dilute solution). This work is focused on the simulation of GPC for the MWD of LCB mPE.
The polymerization reaction mechanism of LCB mPE provides a method to simulate the generation of LCB mPE molecules thus allowing the development of a statistical model of the structure and molecular weight distribution of LCB mPE by previous researchers. This statistical model gives a theoretical MWD. In this work after simulating the generation of one million LCB mPE molecules, we calculate the sizes (i.e. radii of gyration) of molecules at both theta and good solvent conditions to obtain the molecular size distributions. Then we simulate the fractionation in GPC and the different GPC detector responses to obtain simulated GPC MWDs. The simulated MWDs are compared to real GPC results provided by the Dow Chemical Company. We analyze the performance of GPC for long chain branched polyethylene and relate the results to the theoretical MWD.
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Wood-Adams, Paula. "Determination of molecular weight distribution from rheological measurements." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22683.

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An important characteristic of a polymer is its molecular weight distribution (MWD). The MWD affects both the processing and solid state performance properties of polymeric materials. Currently the analytical method for evaluating MWD involves the use of gel permeation chromatography (GPC). This is a labor and time intensive procedure, with the accuracy of the results depending strongly on the skill and experience of the equipment operator. Furthermore, GPC is not sensitive to small amounts of high molecular weight material that can have an important effect on processing and product properties. Thus GPC is far from ideal as a tool for industrial quality control. It is known that the rheological properties depend on the MWD, and it has been proposed that complex viscosity data be used to infer the MWD for commercial polymers. There has been some degree of controversy as to whether this is feasible, but recent results of Shaw, Tuminello and their coworkers indicate that for linear polymers this is, in theory, possible. However limitations in the accessible range of frequency, as well as inevitable experimental errors pose serious barriers to the use of such a procedure. We have investigated the severity of these baniers and have shown that within certain, reasonable constraints complex viscosity data can be used to infer a realistic MWD and that this procedure could be used for routine quality control in a production facility.
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Adebekun, Aderinola Kolawole. "On-line estimation and control of molecular weight distribution." Diss., Georgia Institute of Technology, 1990. http://hdl.handle.net/1853/11765.

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Kuo, Betsy P. "Narrowing the molecular weight distribution of linear alcohol ethoxylates." Thesis, Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/11773.

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Ghielmi, Alessandro. "Molecular weight distribution and gel formation in emulsion polymerization /." [S.l.] : [s.n.], 1999. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=13436.

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Crewe, Robert John. "Modelling Plastics Pyrolysis by Thermogravimetry and Measurements of Molecular Weight Distribution." Thesis, University of Leeds, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485181.

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This thesis concerns the investigation of polymer pyrolysis by a combined approach of ' . , mathematical modelling and experimentation. This 'is done as a contribution towards better understanding how' materials behave in fire' situations. Thermogravimetric analysis has been investigated with regard to the accurate determination of kinetic parameters from thermogravimetric traces. This investigation has focused on various numerical methods that can determine the kinetic parameters from the curves and on correcting the buoyancy effect of the gas flowing through the analyser~ These mathematical techniques have then been applied to the thermogravimetric analysis of real plastics. The plastics investigated are; polystyrene, polymethyl methacrylate, polyvinyl chloride and flame retarded high impact polystyrene. Variations in kinetic parameters with heating rate are investigated in order to determine the ooent to which thermogravimetric analysis can shed light on fundamental chemical processes' occurring during pyrolysis. It is found that thermogravimetric analysis by itself is not realistically capable of shedding much' light on the chemistry occurring dl:lring pyrolysis. An alternative approach. that is subsequently considered is' to investigate polymer decomposition through variations in molecular weight distribution. This has allowed the description of polymer decomposition to be undertaken in terms of scission processes. In the cases of polystyrene and polymethyl methacrylate, it has been found (in agreement with the general literature) that the variations of molecular weight distribution are reminiscent of end-chain scission processes with small contributions of random scission. That said, it is also clear that there are features in both materials' decomposition profiles that requires further modelling. In the case of multi-component mixtures such as the flame retardant HIPS this modelling approach is unable to cope with the experimental observation in its current form.
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Tanner, Beverly. "Optimal control of the molecular weight distribution in a continuous polymerization reactor." Thesis, Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/19430.

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Sánchez, Valencia Andrea. "Polystyrene blends : a rheological and solid-state study of the role of molecular weight distribution." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/51309/.

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Commercial polymers are typically classified according to their melt flow indices, measures of their viscosities. These properties are known to depend on a material’s molar mass distribution, on its averages and its degree of polydispersity. In determining a polymer’s performance, both the molar mass distribution and the process employed to produce the part are highly relevant, since the balance in the mass fractions from its distribution will determine the flow characteristics in the mould, and influence the material’s performance. The compromise polymer manufacturers have to make is to maintain the mechanical properties known to improve with increased molar mass at the same time as a sufficiently low viscosity, known to reduce with decreasing molar mass, to enable part production. This is often achieved by judicious blending of homopolymers. This thesis examines how varying molar mass and distribution in blends leads to changes in the thermal, rheological, and mechanical properties in polystyrene, and discusses and develops physical models to capturing the observed experimental responses. Chromatographic and calorimetric studies were carried out on monodisperse, bimodal blends of monodisperse, polydisperse, and blends of polydisperse polystyrenes. They revealed that changes in molar mass distributions and glass transition temperatures, Tg, could be directly attributed to the blending procedure of choice. In polydisperse blends, higher contents of low molar mass fractions, and corresponding lower Tgs were observed in the blends produced using a melt mixing method compared with solution-blended equivalents. Thermal degradation, accelerated by the large number of chain ends, was suggested as the cause for the increase in low molar mass fractions in the melt-mixed blends. The filtration and precipitation stages characteristic of solution blending instead promoted oligomer loss and evaporation, resulting in reductions in the low molar mass tails of the distributions. Craze initiation stress was measured in 3-point bending isochronal creep tests on the same polymers and blends, and was found to in-crease rapidly with additions of a higher molar mass component, reaching a plateau at 20 wt%. A simple model based on a weighted addition of the crazing stress contributions of individual weight fractions was developed from an established piecewise linear crazing law in order to enable predictions of the crazing stress in the blends, using a power law exponent of 2.59 (90% CI [1.75 17.34]). In highly poly-disperse systems, where short unentangled chains dilute the polymer, it was necessary to include dynamic tube dilution theory. Dilution leads to a change in the entanglement length and hence in the molar mass at which transitions in the crazing mechanisms (disentanglement and chain scission) occur. With the improved model, crazing stress could be predicted even for highly polydisperse blends with wide and bimodal distributions. Linear and non-linear rheological measurements were carried out in shear and extensions on the same materials. Existing rheological models for linear viscoelasticity including Likhtman-McLeish (L-M), Rubinstein-Colby (R-C) and polydisperse double reptation (pDR) theory were applied to the linear experimental data, exposing some of the fundamental difficulties of modelling the structure of systems where multiple chain-lengths interact. R-C was found applicable to bi-modal blends of monodisperse, whereas pDR was better able to model broad polydisperse blends. New non-linear shear and extensional rheology was recorded experimentally on all polymers and blends, and should enable future non-linear theories to be compared to experiment.
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BREESE, DAVID RYAN. "MODELING THE EFFECTS OF SOLID STATE ORIENTATION ON BLOWN HIGH MOLECULAR WEIGHT HIGH DENSITY POLYETHYLENE FILMS: A COMPOSITE THEORY APPROACH." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1107958634.

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Books on the topic "Molecular weight distribution"

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R, Cooper Anthony, ed. Determination of molecular weight. New York: J. Wiley, 1989.

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Test No. 118: Determination of the Number-Average Molecular Weight and the Molecular Weight Distribution of Polymers using Gel Permeation Chromatography. OECD, 1996. http://dx.doi.org/10.1787/9789264069848-en.

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Silva, Arlene Avenido. Molecular weight distribution analysis of wood pulp cellulose by size exclusion chromatography. 1995.

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Determinations of molecular weight and molecular weight distribution of high polymers by the rheological properties: Progress report for the period ended June 30, 1989. Norfolk, Va: Dept. of Mechanical Engineering and Mechanics, College of Engineering and Technology, Old Dominion University, 1989.

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H, Hou T., Tiwari S. N, Old Dominion University. Dept. of Mechanical Engineering and Mechanics., and Langley Research Center, eds. Determinations of molecular weight and molecular weight distribution of high polymers by the rheological properties: Progress report for the period ended June 30, 1989. Norfolk, Va: Dept. of Mechanical Engineering and Mechanics, College of Engineering and Technology, Old Dominion University, 1989.

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Henriksen, Niels Engholm, and Flemming Yssing Hansen. From Microscopic to Macroscopic Descriptions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805014.003.0002.

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This chapter discusses bimolecular reactions from both a microscopic and macroscopic point of view. The outcome of an isolated reactive scattering event can be specified in terms of an intrinsic fundamental quantity, the reaction cross-section that can be measured in a molecular beam experiment. It depends on the quantum states of the molecules as well as the relative velocity of reactants and products. The relation between the cross-section and the macroscopic rate constant is derived. The rate constant is a weighted average of the product between the relative speed of the reactants and the reaction cross-section. The chapter concludes with the special case of thermal equilibrium, where the velocity distributions for the molecules are the Maxwell–Boltzmann distribution. The expression for the rate constant at temperature T is reduced to a one-dimensional integral over the relative speed of the reactants.
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Book chapters on the topic "Molecular weight distribution"

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Gooch, Jan W. "Molecular-Weight Distribution." In Encyclopedic Dictionary of Polymers, 471. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_7648.

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Gooch, Jan W. "Molecular-Weight Distribution Poisson." In Encyclopedic Dictionary of Polymers, 471. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_7649.

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Canevarolo, Sebastião V. "Polymer Molecular Weight and Distribution." In Polymer Science, 147–77. München: Carl Hanser Verlag GmbH & Co. KG, 2019. http://dx.doi.org/10.3139/9781569907269.006.

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Mori, Sadao, and Howard G. Barth. "Molecular Weight Averages and Distribution." In Size Exclusion Chromatography, 77–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03910-6_6.

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Nguyen, T. Q., and H. H. Kausch. "Molecular Weight Distribution and Mechanical Properties." In Polymer Science and Technology Series, 143–50. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9231-4_32.

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Nguyen, T. Q., and H. H. Kausch. "Molecular Weight Distribution — Characterisation by GPC." In Polymer Science and Technology Series, 151–55. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9231-4_33.

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Dealy, John M., and Ronald G. Larson. "Determination of Molecular Weight Distribution Using Rheology." In Structure and Rheology of Molten Polymers, 259–78. München: Carl Hanser Verlag GmbH & Co. KG, 2006. http://dx.doi.org/10.3139/9783446412811.008.

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Kumar, Anil, and Rakesh K. Gupta. "Measurement of Molecular Weight and Its Distribution." In Fundamentals of Polymer Engineering, 301–27. Third edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. | Earlier edition by Anil Kumar, Rakesh K. Gupta. | “Includes bibliographical references and index.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429398506-8.

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Dealy, John M., Daniel J. Read, and Ronald G. Larson. "Determination of Molecular Weight Distribution Using Rheology." In Structure and Rheology of Molten Polymers, 291–306. München: Carl Hanser Verlag GmbH & Co. KG, 2018. http://dx.doi.org/10.3139/9781569906125.008.

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Guo, Qingbin, Lianzhong Ai, and Steve W. Cui. "Molecular Weight Distribution and Conformational Properties of Polysaccharides." In SpringerBriefs in Molecular Science, 19–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96370-9_3.

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Conference papers on the topic "Molecular weight distribution"

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Zampini, Anthony, Pamela Turci, George J. Cernigliaro, Harold F. Sandford, Gary J. Swanson, Catherine C. Meister, and Roger F. Sinta. "High-resolution positive photoresists: novolac molecular weight and molecular weight distribution effects." In Microlithography '90, 4-9 Mar, San Jose, edited by Michael P. C. Watts. SPIE, 1990. http://dx.doi.org/10.1117/12.20105.

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Shirai, M., M. Manabe, S. Tsuji, and T. Itani. "Epoxy-containing ArF resists with narrow molecular weight distribution." In Digest of Papers Microprocesses and Nanotechnology 2005. 2005 International Microprocesses and Nanotechnology Conference. IEEE, 2005. http://dx.doi.org/10.1109/imnc.2005.203740.

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Wu, Haiyan, Yu Chen, and Jing Wang. "Model-free output feedback control of molecular weight distribution." In 2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2017. http://dx.doi.org/10.1109/ddcls.2017.8068118.

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Ali, Emad M., and Mohammad Al-haj Ali. "Controlling the Polyethylene Molecular Weight Distribution Using Hydrogen Influent." In ASME 2010 Dynamic Systems and Control Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/dscc2010-4000.

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This paper addresses the feasibility of controlling the entire molecular weight distribution of the produced polymer in gas-phase ethylene polymerization reactors. Nonlinear model predictive controller is used to attain the control objective by utilizing the hydrogen feed rate as the only manipulated variable. The use of other manipulated variables is limited to avoid disturbing the process when influential inputs such catalyst and/or monomer inflows are used. The simulation results indicated successful implementation of the control algorithm to achieve the desired molecular weight distribution. The success depends on the improved hydrogen activities inside the reactor through a modified catalyst that is responsive to hydrogen variation and a wider admissible range of hydrogen feed rates.
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Clarke-Pringle, T. L., and J. F. MacGregor. "Optimization of molecular weight distribution using batch-to-batch adjustments." In Proceedings of the 1998 American Control Conference (ACC). IEEE, 1998. http://dx.doi.org/10.1109/acc.1998.703202.

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Bantchev, Grigor, Steven Cermak, Amber Durham, and Neil Price. "Determination of Estolide Molecular Weight Distribution via Gel Permeation Chromatography." In Virtual 2021 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2021. http://dx.doi.org/10.21748/am21.233.

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Guo, Zhidong, Zhengshun Xu, Hongguang Huang, Jinghua Guan, and Guofeng Huang. "The Measurement of the Molecular Weight (MW) and Molecular Weight Distribution (MWD) of the High MW Partial Hydrolyzed Polyacrylamide (HPAM)." In SPE International Symposium on Oilfield Chemistry. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/65372-ms.

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Borg, Tommi, Esko J. Pääkkönen, Albert Co, Gary L. Leal, Ralph H. Colby, and A. Jeffrey Giacomin. "Start-Up and Transient Flow Effects From the Molecular Weight Distribution." In THE XV INTERNATIONAL CONGRESS ON RHEOLOGY: The Society of Rheology 80th Annual Meeting. AIP, 2008. http://dx.doi.org/10.1063/1.2964724.

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Tsiartas, Pavlos C., Logan L. Simpson, Anwei Qin, C. Grant Willson, Robert D. Allen, Val J. Krukonis, and Paula M. Gallagher-Wetmore. "Effect of molecular weight distribution on the dissolution properties of novolac blends." In SPIE's 1995 Symposium on Microlithography, edited by Robert D. Allen. SPIE, 1995. http://dx.doi.org/10.1117/12.210347.

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Sabzevari, Seyed Mostafa, Satu Strandman, and Paula Marie Wood-Adams. "Slip of polydisperse polymers: Molecular weight distribution above and below the plane of slip." In NOVEL TRENDS IN RHEOLOGY VI. AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4918878.

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Reports on the topic "Molecular weight distribution"

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Coulombe, S. Determination of molecular weight distribution of crude oils and their fractions. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/304453.

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Ternan, M., P. Rahimi, D. Liu, H. D. Dettman, and D M Clugston. Coprocessing consortium - year 3 progress report: project F7 elemental/molecular weight distribution of unconverted vacuum residues. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1992. http://dx.doi.org/10.4095/304546.

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Ternan, M., P. Rahimi, D. Liu, and D. M. Clugston. Coprocessing: elemental and molecular weight distributions in unconverted vacuum residues. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/304596.

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Ternan, M., and P. Rahimi. Molecular weight distributions of residuum products remaining after hydrocracking 1-525 °c athabasca bitumen. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/304468.

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Winans, R. E. ,., Y. Kim, J. E. Hunt, and R. L. McBeth. Structural elucidation of Argonne premium coals: Molecular weights, heteroatom distributions and linkages between clusters. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/206361.

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McCoy, B. J., and G. Madras. Degradation kinetics of polymers in solution: Time-dependence of molecular weight distributions. [Quarterly report, January--March 1996]. Office of Scientific and Technical Information (OSTI), February 1996. http://dx.doi.org/10.2172/382447.

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