Optimizing Sparsely Patterned Polymer Brushes for Guiding Block Copolymers to Form Large-Scale Ordered Lines

Abstract Directed self-assembly (DSA), which combines the self-assembly of block copolymers with conventional photolithography, can improve lithographic precision by achieving density multiplication, and is thus regarded as one of the promising next-generation lithography techniques. One of the most applicable patterns fabricated via DSA is the high-density vertical stripe pattern, and its core challenge lies in controlling the defect concentration to an extremely low level. In principle, a properly designed guiding pattern can direct symmetric AB diblock copolymers to form thermodynamically stable stripes without any defects. However, guiding patterns generally have multiple critical parameters that are difficult to synergistically optimize in experiments, which lowers the thermodynamic stability of perfect stripe structures and accordingly increases the probability of generating defects. In this work, large-scale simulations are performed using coarse-grained molecular dynamics simulations to investigate the self-assembly of AB diblock copolymers guided by patterned templates consisting of periodically grafted homopolymer brushes and random copolymer brushes, focusing on the influences of the chemical affinity of homopolymer brushes, the length of polymer brushes, and the composition of copolymer brushes on the directing effect. Taking two-fold density multiplication (i.e., DM = 2) as an example, we find that individually increasing the chemical affinity or the brush length can broaden the compositional window of the copolymer brushes for forming defect-free stripes, yet the broadening effect is limited. Simultaneous optimization of these two key parameters can widen the compositional window to a much larger degree. It is revealed at the molecular scale that excessively strong affinity and overly long polymer brushes disrupt the formation of vertical stripes. Furthermore, a typical set of optimized parameters obtained for DM = 2 is directly applied to the case of DM = 3, and defect-free vertical stripes are successfully obtained in a number of independent simulations within a large area of 21L0 × 21L0 (L0 denotes the stripe period).

Authors

Institutions

Publication Details

Journal
Macromolecules
Published
2026-10-05
DOI
https://doi.org/10.1021/acs.macromol.6c01537
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Sparsely Patterned Polymer Brushes for Guiding Block Copolymers to Form Large-Scale Ordered Lines

Qingliang Song, Wenjing Zheng, Weihua Li
Macromolecules
Block Copolymer Self-Assembly
article

Optimizing Sparsely Patterned Polymer Brushes for Guiding Block Copolymers to Form Large-Scale Ordered Lines

Qingliang Song, Wenjing Zheng, Weihua Li
article en

Abstract

Abstract Directed self-assembly (DSA), which combines the self-assembly of block copolymers with conventional photolithography, can improve lithographic precision by achieving density multiplication, and is thus regarded as one of the promising next-generation lithography techniques. One of the most applicable patterns fabricated via DSA is the high-density vertical stripe pattern, and its core challenge lies in controlling the defect concentration to an extremely low level. In principle, a properly designed guiding pattern can direct symmetric AB diblock copolymers to form thermodynamically stable stripes without any defects. However, guiding patterns generally have multiple critical parameters that are difficult to synergistically optimize in experiments, which lowers the thermodynamic stability of perfect stripe structures and accordingly increases the probability of generating defects. In this work, large-scale simulations are performed using coarse-grained molecular dynamics simulations to investigate the self-assembly of AB diblock copolymers guided by patterned templates consisting of periodically grafted homopolymer brushes and random copolymer brushes, focusing on the influences of the chemical affinity of homopolymer brushes, the length of polymer brushes, and the composition of copolymer brushes on the directing effect. Taking two-fold density multiplication (i.e., DM = 2) as an example, we find that individually increasing the chemical affinity or the brush length can broaden the compositional window of the copolymer brushes for forming defect-free stripes, yet the broadening effect is limited. Simultaneous optimization of these two key parameters can widen the compositional window to a much larger degree. It is revealed at the molecular scale that excessively strong affinity and overly long polymer brushes disrupt the formation of vertical stripes. Furthermore, a typical set of optimized parameters obtained for DM = 2 is directly applied to the case of DM = 3, and defect-free vertical stripes are successfully obtained in a number of independent simulations within a large area of 21L0 × 21L0 (L0 denotes the stripe period).

Macromolecules
Fudan University (CN)
Openalex Percentile: Top 26%
Block Copolymer Self-Assembly
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.