Literature DB >> 29892480

Optimizing self-consistent field theory block copolymer models with X-ray metrology.

Adam F Hannon1, Daniel F Sunday1, Alec Bowen2, Gurdaman Khaira3, Jiaxing Ren2, Paul F Nealey2,4, Juan J de Pablo2,4, R Joseph Kline1.   

Abstract

A block copolymer self-consistent field theory (SCFT) model is used for direct analysis of experimental X-ray scattering data obtained from thin films of polystyrene-b-poly(methyl methacrylate) (PS-b-PMMA) made from directed self-assembly. In a departure from traditional approaches, which reconstruct the real space structure using simple geometric shapes, we build on recent work that has relied on physics-based models to determine shape profiles and extract thermodynamic processing information from the scattering data. More specifically, an SCFT model, coupled to a covariance matrix adaptation evolutionary strategy (CMAES), is used to find the set of simulation parameters for the model that best reproduces the scattering data. The SCFT model is detailed enough to capture the essential physics of the copolymer self-assembly, but sufficiently simple to rapidly produce structure profiles needed for interpreting the scattering data. The ability of the model to produce a matching scattering profile is assessed, and several improvements are proposed in order to more accurately recreate the experimental observations. The predicted parameters are compared to those extracted from model fits via additional experimental methods and with predicted parameters from direct particle-based simulations of the same model, which incorporate the effects of fluctuations. The Flory-Huggins interaction parameter for PS-b-PMMA is found to be in agreement with reported ranges for this material. These results serve to strengthen the case for relying on physics-based models for direct analysis of scattering and light signal based experiments.

Entities:  

Year:  2018        PMID: 29892480      PMCID: PMC5992623          DOI: 10.1039/C7ME00098G

Source DB:  PubMed          Journal:  Mol Syst Des Eng


  35 in total

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Authors:  Mark P Stoykovich; Marcus Müller; Sang Ouk Kim; Harun H Solak; Erik W Edwards; Juan J de Pablo; Paul F Nealey
Journal:  Science       Date:  2005-06-03       Impact factor: 47.728

6.  Characterizing Patterned Block Copolymer Thin Films with Soft X-rays.

Authors:  Daniel F Sunday; Jiaxing Ren; Christopher D Liman; Lance D Williamson; Roel Gronheid; Paul F Nealey; R Joseph Kline
Journal:  ACS Appl Mater Interfaces       Date:  2017-06-06       Impact factor: 9.229

7.  Aligned sub-10-nm block copolymer patterns templated by post arrays.

Authors:  Jae-Byum Chang; Jeong Gon Son; Adam F Hannon; Alfredo Alexander-Katz; Caroline A Ross; Karl K Berggren
Journal:  ACS Nano       Date:  2012-02-28       Impact factor: 15.881

8.  Three-Tone Chemical Patterns for Block Copolymer Directed Self-Assembly.

Authors:  Lance D Williamson; Robert N Seidel; Xuanxuan Chen; Hyo Seon Suh; Paulina Rincon Delgadillo; Roel Gronheid; Paul F Nealey
Journal:  ACS Appl Mater Interfaces       Date:  2016-01-20       Impact factor: 9.229

9.  Density multiplication and improved lithography by directed block copolymer assembly.

Authors:  Ricardo Ruiz; Huiman Kang; François A Detcheverry; Elizabeth Dobisz; Dan S Kercher; Thomas R Albrecht; Juan J de Pablo; Paul F Nealey
Journal:  Science       Date:  2008-08-15       Impact factor: 47.728

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Authors:  Amir Tavakkoli K G; Samuel M Nicaise; Karim R Gadelrab; Alfredo Alexander-Katz; Caroline A Ross; Karl K Berggren
Journal:  Nat Commun       Date:  2016-01-22       Impact factor: 14.919

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  2 in total

1.  Multicore Assemblies from Three-Component Linear Homo-Copolymer Systems: A Coarse-Grained Modeling Study.

Authors:  Sousa Javan Nikkhah; Elsi Turunen; Anneli Lepo; Tapio Ala-Nissila; Maria Sammalkorpi
Journal:  Polymers (Basel)       Date:  2021-06-30       Impact factor: 4.329

2.  Characterisation of the PS-PMMA Interfaces in Microphase Separated Block Copolymer Thin Films by Analytical (S)TEM.

Authors:  Julius Bürger; Vinay S Kunnathully; Daniel Kool; Jörg K N Lindner; Katharina Brassat
Journal:  Nanomaterials (Basel)       Date:  2020-01-13       Impact factor: 5.076

  2 in total

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