Design of random copolymers with statistically controlled monomer sequence distributions via Monte Carlo simulations

2006 ◽  
Vol 125 (1) ◽  
pp. 014902 ◽  
Author(s):  
James J. Semler ◽  
Jan Genzer
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Random Copolymers ◽  
Monomer Sequence ◽  
Sequence Distributions

One-dimensional nanofiller induced crystallization in random copolymers studied by dynamic Monte Carlo simulations

2018 ◽  
Vol 46 (9) ◽  
pp. 669-677 ◽  
Author(s):  
Rongjuan Liu ◽  
Luyao Yang ◽  
Xiaoyan Qiu ◽  
Haitao Wu ◽  
Yongqiang Zhang ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Random Copolymers ◽  
One Dimensional ◽  
Dynamic Monte Carlo ◽  
Induced Crystallization

Facile Method of Controlling Monomer Sequence Distributions in Random Copolymers

2007 ◽  
Vol 19 (19) ◽  
pp. 2877-2883 ◽  
Author(s):  
J. J. Semler ◽  
Y. K. Jhon ◽  
A. Tonelli ◽  
M. Beevers ◽  
R. Krishnamoorti ◽  
...  
Keyword(s):  
Random Copolymers ◽  
Monomer Sequence ◽  
Sequence Distributions

Monte Carlo simulations of adsorbed random copolymers

1990 ◽  
Vol 23 (13) ◽  
pp. 3353-3357 ◽  
Author(s):  
Terence Cosgrove ◽  
Nigel A. Finch ◽  
John R. P. Webster
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Random Copolymers

scholarly journals Monte Carlo simulations of random copolymers at a selective interface

1996 ◽  
Vol 53 (5) ◽  
pp. 5509-5512 ◽  
Author(s):  
Gongwen Peng ◽  
Jens-Uwe Sommer ◽  
Alexander Blumen
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Random Copolymers

Monte Carlo Simulations of Strong Memory Effect of Crystallization in Random Copolymers

2013 ◽  
Vol 46 (16) ◽  
pp. 6498-6506 ◽  
Author(s):  
Huanhuan Gao ◽  
Madhavi Vadlamudi ◽  
Rufina G. Alamo ◽  
Wenbing Hu
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Memory Effect ◽  
Random Copolymers

Discriminating Among Co-monomer Sequence Distributions in Random Copolymers Using Interaction Chromatography

2009 ◽  
Vol 30 (18) ◽  
pp. 1543-1548 ◽  
Author(s):  
Junwon Han ◽  
Byung Ho Jeon ◽  
Chang Y. Ryu ◽  
James J. Semler ◽  
Young K. Jhon ◽  
...  
Keyword(s):  
Random Copolymers ◽  
Monomer Sequence ◽  
Sequence Distributions

Low-voltage EDS of magnesium ferrite Dendrites in a FEG-SEM

1996 ◽  
Vol 54 ◽  
pp. 478-479
Author(s):  
Matthew T. Johnson ◽  
Ian M. Anderson ◽  
Jim Bentley ◽  
C. Barry Carter
Keyword(s):  
Monte Carlo ◽  
Quantitative Analysis ◽  
Monte Carlo Simulations ◽  
Cross Section ◽  
Spatial Resolution ◽  
Low Voltage ◽  
Magnesium Ferrite ◽  
X Ray ◽  
Interaction Volume ◽  
Ferrite Spinel

Energy-dispersive X-ray spectrometry (EDS) performed at low (≤ 5 kV) accelerating voltages in the SEM has the potential for providing quantitative microanalytical information with a spatial resolution of ∼100 nm. In the present work, EDS analyses were performed on magnesium ferrite spinel [(MgxFe1−x)Fe2O4] dendrites embedded in a MgO matrix, as shown in Fig. 1. spatial resolution of X-ray microanalysis at conventional accelerating voltages is insufficient for the quantitative analysis of these dendrites, which have widths of the order of a few hundred nanometers, without deconvolution of contributions from the MgO matrix. However, Monte Carlo simulations indicate that the interaction volume for MgFe2O4 is ∼150 nm at 3 kV accelerating voltage and therefore sufficient to analyze the dendrites without matrix contributions.Single-crystal {001}-oriented MgO was reacted with hematite (Fe2O3) powder for 6 h at 1450°C in air and furnace cooled. The specimen was then cleaved to expose a clean cross-section suitable for microanalysis.

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