Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport-Reference-Cited by-同舟云学术

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Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport

Published:2024-04 Issue: Volume:503 Page:112844
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Baptista Ricardo,Cao Lianghao^ORCID,Chen Joshua,Ghattas Omar,Li Fengyi,Marzouk Youssef M.,Oden J. Tinsley

Funder

Office of Science

U.S. Department of Energy

Advanced Scientific Computing Research

Publisher

Elsevier BV

Reference132 articles.

1. Block copolymers—designer soft materials;Bates;Phys. Today,1999

2. Graphoepitaxy of spherical domain block copolymer films;Segalman;Adv. Mater.,2001

3. Epitaxial self-assembly of block copolymers on lithographically defined nanopatterned substrates;Kim;Nature,2003

4. Graphoepitaxy of self-assembled block copolymers on two-dimensional periodic patterned templates;Bita;Science,2008

5. Pathways toward electric field induced alignment of block copolymers;Thurn-Albrecht;Macromolecules,2002

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