Evidence map›Paper›PMID 40572390›Full record

ReviewMicromachines2025

Review of Directed Self-Assembly Material, Processing, and Application in Advanced Lithography and Patterning.

Xiuyan Cheng, Di Liang, Miao Jiang, Yufei Sha, Xiaonan Liu, Jinlai Liu, Qingchen Cao, Jiangliu Shi

Abstract readReview
In one paragraph

Review in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xiuyan ChengBeijing Superstring Academy of Memory Technology, Beijing 100176, China.
Di LiangBeijing Superstring Academy of Memory Technology, Beijing 100176, China.
Miao JiangBeijing Superstring Academy of Memory Technology, Beijing 100176, China.
Yufei ShaBeijing Superstring Academy of Memory Technology, Beijing 100176, China.
Xiaonan LiuBeijing Superstring Academy of Memory Technology, Beijing 100176, China.
Jinlai LiuBeijing Superstring Academy of Memory Technology, Beijing 100176, China.
Qingchen CaoBeijing Superstring Academy of Memory Technology, Beijing 100176, China.
Jiangliu ShiBeijing Superstring Academy of Memory Technology, Beijing 100176, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Directed self-assembly (DSA) lithography, a cutting-edge technology based on the self-assembly of block copolymers (BCPs), has received significant attention in recent years. Combining DSA with established lithography technologies, such as extreme ultraviolet (EUV), deep ultraviolet (DUV), electron beam lithography, and nanoimprint lithography, significantly enhances the resolution of target patterns and device density. Currently, there are two commonly used methods in DSA: graphoepitaxy, employing lithographically defined topographic templates to guide BCP assembly, and chemoepitaxy, utilizing chemically patterned surfaces with precisely controlled interfacial energies to direct nanoscale phase segregation. Through novel DSA lithography technology, nanoscale patterns with smaller feature sizes and higher densities can be obtained, realizing the miniaturization of hole and line patterns and pitch multiplication and improving the roughness and local critical dimension uniformity (LCDU). It is gradually becoming one of the most promising and advanced lithography techniques. DSA lithography technology has been applied in logic, memory, and optoelectronic device fabrications.

Indexed as

advanced lithography technologyBCPsDSA

Identifiers

PMID40572390
PMCPMC12194818

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.