Statistical Models and NMR Analysis of Polymer Microstructure

2011 ◽  
pp. 371-382 ◽  
Author(s):  
H. N. Cheng ◽  
Massoud J. Miri
Keyword(s):  
Statistical Models ◽  
Nmr Analysis ◽  
Polymer Microstructure

Synthesis and 13C-NMR analysis of an ethylene copolymer with 9-decen-1-ol

RSC Advances ◽  
2015 ◽  
Vol 5 (120) ◽  
pp. 98929-98933 ◽  
Author(s):  
Liping Hou ◽  
Wei Wang ◽  
Jianfang Sheng ◽  
Changcheng Liu
Keyword(s):  
13C Nmr ◽  
Synthesis And Characterization ◽  
Nmr Analysis ◽  
Polymer Microstructure ◽  
13C Nmr Analysis ◽  
Ethylene Copolymer ◽  
Polymerization Conditions

Synthesis and characterization of an ethylene/9-dencen-1-ol copolymer revealed the effect of polymerization conditions, catalysts and comonomer on the activity and polymer microstructure.

Isospecific Group-Transfer Polymerization of Diethyl Vinylphosphonate and Multidimensional NMR Analysis of the Polymer Microstructure

2019 ◽  
Vol 52 (18) ◽  
pp. 7073-7080 ◽  
Author(s):  
Michael Weger ◽  
Philipp Pahl ◽  
Fabian Schmidt ◽  
Benedikt S. Soller ◽  
Philipp J. Altmann ◽  
...  
Keyword(s):  
Multidimensional Nmr ◽  
Nmr Analysis ◽  
Polymer Microstructure ◽  
Group Transfer ◽  
Multidimensional Nmr Analysis ◽  
Diethyl Vinylphosphonate

Energy-filtered imaging of polymer microstructure

1996 ◽  
Vol 54 ◽  
pp. 162-163
Author(s):  
K. Siangchaew ◽  
J. Bentley ◽  
M. Libera
Keyword(s):  
Energy Loss ◽  
Heavy Element ◽  
Spectroscopic Imaging ◽  
Data Set ◽  
Polymer Microstructure ◽  
Entire Energy ◽  
Staining Methods ◽  
Spectrum Imaging ◽  
Resolution Data

Energy-filtered electron-spectroscopic TEM imaging provides a new way to study the microstructure of polymers without heavy-element stains. Since spectroscopic imaging exploits the signal generated directly by the electron-specimen interaction, it can produce richer and higher resolution data than possible with most staining methods. There are basically two ways to collect filtered images (fig. 1). Spectrum imaging uses a focused probe that is digitally rastered across a specimen with an entire energy-loss spectrum collected at each x-y pixel to produce a 3-D data set. Alternatively, filtering schemes such as the Zeiss Omega filter and the Gatan Imaging Filter (GIF) acquire individual 2-D images with electrons of a defined range of energy loss (δE) that typically is 5-20 eV.

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