A Robotic High-Throughput Grid-Search Platform for Mapping Phase Behavior in Triblock Copolymer–Homopolymer Blends

-PS) and polystyrene (PS) homopolymer blends as a function of homopolymer molecular weight (MW) and blend ratio. Using a robotic thin-film processing platform (NOVA) integrated with Grazing Incidence Small-Angle X-ray Scattering (GISAXS) and Atomic Force Microscopy (AFM), we systematically mapped the order-disorder transition (ODT) boundaries and domain spacing evolution across a broad MW range (4.0-101.3 kDa) with varying homopolymer loadings (10% to 90%). The results reveal three distinct regimes: low-MW homopolymers, corresponding to the wet-brush regime produced only gradual domain swelling before disordering at high blend ratios (weight fraction); medium-MW homopolymers, corresponding to thedry-brush regime induced significant domain spacing increase up to 80% followed by earlier disordering, while high-MW homopolymers led to macrophase separation with minimal changes in domain spacing. Additionally, coarse-grained molecular dynamics simulations confirmed our experimental finding that in the low-MW region, the PS homopolymer uniformly distributed in the PS domain. These findings demonstrate that homopolymer molecular weight critically governs both the extent of domain swelling and the onset of disorder in triblock copolymer systems. This high-throughput platform enables the rapid mapping of composition-morphology relationships and can be integrated with AI/ML tools for designing next-generation nanostructured polymers.

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Publication Details

Journal
ACS Nano
Published
2026-06-09
DOI
https://doi.org/10.1021/acsnano.6c01299
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.00

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article

A Robotic High-Throughput Grid-Search Platform for Mapping Phase Behavior in Triblock Copolymer–Homopolymer Blends

Chenhui Zhu, Boran Ma, Yunfei Wang, Md. Moniruzzaman et al.
ACS Nano
Block Copolymer Self-Assembly
article

A Robotic High-Throughput Grid-Search Platform for Mapping Phase Behavior in Triblock Copolymer–Homopolymer Blends

Chenhui Zhu, Boran Ma, Yunfei Wang, Md. Moniruzzaman, Saroj Upreti, Lan Xu, Derek Patton, Sabin Baral, Kailash Adhikari, Ruipeng Li, Wenjie Xia, Jie Xu, Xiaodan Gu
article en

Abstract

-PS) and polystyrene (PS) homopolymer blends as a function of homopolymer molecular weight (MW) and blend ratio. Using a robotic thin-film processing platform (NOVA) integrated with Grazing Incidence Small-Angle X-ray Scattering (GISAXS) and Atomic Force Microscopy (AFM), we systematically mapped the order-disorder transition (ODT) boundaries and domain spacing evolution across a broad MW range (4.0-101.3 kDa) with varying homopolymer loadings (10% to 90%). The results reveal three distinct regimes: low-MW homopolymers, corresponding to the wet-brush regime produced only gradual domain swelling before disordering at high blend ratios (weight fraction); medium-MW homopolymers, corresponding to thedry-brush regime induced significant domain spacing increase up to 80% followed by earlier disordering, while high-MW homopolymers led to macrophase separation with minimal changes in domain spacing. Additionally, coarse-grained molecular dynamics simulations confirmed our experimental finding that in the low-MW region, the PS homopolymer uniformly distributed in the PS domain. These findings demonstrate that homopolymer molecular weight critically governs both the extent of domain swelling and the onset of disorder in triblock copolymer systems. This high-throughput platform enables the rapid mapping of composition-morphology relationships and can be integrated with AI/ML tools for designing next-generation nanostructured polymers.

ACS Nano
Argonne National Laboratory (US), Lawrence Berkeley National Laboratory (US), Iowa State University (US), Brookhaven National Laboratory (US), Center for NanoScience (DE), University of Chicago (US), Advanced Light Source, University of Southern Mississippi (US)
National Science Foundation, Basic Energy Sciences
Openalex Percentile: Top 14%
Block Copolymer Self-Assembly
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