ArticleScience advances2023
Autonomous discovery of emergent morphologies in directed self-assembly of block copolymer blends.
Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
The trial behind it
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Who cites it
10 citing papers in PubMed.
- Cooperative Solvent-Thermal Interactions Enable Multi-Material Nanotransfer Printing for Multi-Dimensional Molecular Profiling.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Toward Unified Autonomous Scattering Experiments: A Cross-Facility Case Study at ALS and PETRA III.Photon science · 2026Article
- Automated Photothermal Control of Block Copolymer Self‑Assembly and Metal Oxide Nanostructures Sintering.Macromolecular rapid communications · 2026Article
- Machine Learning Framework for Characterizing Processing-Structure Relationship in Block Copolymer Thin Films.Macromolecules · 2026Article
- Article
- Revealing the Kinetic Phase Behavior of Block Copolymer Complexes Using Solvent Vapor Absorption-Desorption Isotherms.ACS applied materials & interfaces · 2024Article
- Direct Printing of Ultrathin Block Copolymer Film with Nano-in-Micro Pattern Structures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Article
- Formation of Multiscale Pattern Structures by Combined Patterning of Nanotransfer Printing and Laser Micromachining.Nanomaterials (Basel, Switzerland) · 2023Article
- X-ray Scattering for Soft Matter Research at NSLS-II.Synchrotron radiation news · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The directed self-assembly (DSA) of block copolymers (BCPs) is a powerful approach to fabricate complex nanostructure arrays, but finding morphologies that emerge with changes in polymer architecture, composition, or assembly constraints remains daunting because of the increased dimensionality of the DSA design space. Here, we demonstrate machine-guided discovery of emergent morphologies from a cylinder/lamellae BCP blend directed by a chemical grating template, conducted without direct human intervention on a synchrotron x-ray scattering beamline. This approach maps the morphology-template phase space in a fraction of the time required by manual characterization and highlights regions deserving more detailed investigation. These studies reveal localized, template-directed partitioning of coexisting lamella- and cylinder-like subdomains at the template period length scale, manifesting as previously unknown morphologies such as aligned alternating subdomains, bilayers, or a "ladder" morphology. This work underscores the pivotal role that autonomous characterization can play in advancing the paradigm of DSA.
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Registered trials
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.