4.7 Article

Cyclic Solvent Annealing Improves Feature Orientation in Block Copolymer Thin Films

期刊

MACROMOLECULES
卷 49, 期 5, 页码 1743-1751

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.macromol.5b02107

关键词

-

资金

  1. CMMT Program of the National Science Foundation [DMR-CMMT 1506008]
  2. National Science Foundation [ACT-1053575]
  3. California Nanosystems Institute (CNSI)
  4. Materials Research Laboratory (MRL) at the University of California, Santa Barbara
  5. MRSEC Program of the NSF [DMR 1121053]
  6. NSF [DMR-1035480, DMS-1317684]
  7. Direct For Mathematical & Physical Scien
  8. Division Of Mathematical Sciences [1317684] Funding Source: National Science Foundation
  9. Division Of Materials Research
  10. Direct For Mathematical & Physical Scien [1506008] Funding Source: National Science Foundation

向作者/读者索取更多资源

Solvent vapor annealing is a promising, flexible platform for controlling the self-assembly of block copolymer thin films. However, the ability for static solvent annealing alone to provide sufficient bias to generate vertically oriented features is limited. Here, we use dynamical field theory simulations to investigate the morphology dynamics and capacity for pattern selection of a cyclic solvent annealing process. We find that the swell step selectively strains features oriented parallel to the substrate, reducing their stability with respect to disorder, while vertically oriented domains remain stable through the full cycle. This memory effect may be exploited to systematically improve feature orientation with wide operating margins and favorable kinetics compared to static solvent or cyclic thermal annealing. In aggregate, these results suggest a simple, robust method for orienting features in solvent annealed block copolymer films, potentially obviating the need for external fields while minimizing the total annealing time.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Multidisciplinary

The Role of Backbone Polarity on Aggregation and Conduction of Ions in Polymer Electrolytes

Nicole S. Schauser, Douglas J. Grzetic, Tarnuma Tabassum, Gabrielle A. Kliegle, My Linh Le, Ethan M. Susca, Segolene Antoine, Timothy J. Keller, Kris T. Delaney, Songi Han, Ram Seshadri, Glenn H. Fredrickson, Rachel A. Segalman

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2020)

Article Chemistry, Multidisciplinary

Rapid Generation of Block Copolymer Libraries Using Automated Chromatographic Separation

Cheng Zhang, Morgan W. Bates, Zhishuai Geng, Adam E. Levi, Daniel Vigil, Stephanie M. Barbon, Tessa Loman, Kris T. Delaney, Glenn H. Fredrickson, Christopher M. Bates, Andrew K. Whittaker, Craig J. Hawker

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY (2020)

Article Polymer Science

Connecting Solute Diffusion to Morphology in Triblock Copolymer Membranes

Michael P. Howard, Joshua Lequieu, Kris T. Delaney, Venkat Ganesan, Glenn H. Fredrickson, Thomas M. Truskett

MACROMOLECULES (2020)

Article Chemistry, Physical

Effect of an electric field on the stability of binary dielectric fluid mixtures

Jonathan M. Martin, Kris T. Delaney, Glenn H. Fredrickson

JOURNAL OF CHEMICAL PHYSICS (2020)

Article Polymer Science

Electrostatic Manipulation of Phase Behavior in Immiscible Charged Polymer Blends

Douglas J. Grzetic, Kris T. Delaney, Glenn H. Fredrickson

Summary: Microphase separation in a binary blend of oppositely charged polymers can be stabilized electrostatically, providing a route to control microstructure. The phase behavior is affected by differences in charge density and dielectric constant of the polymers, and specific ordered phases can be stabilized when the minority component has a higher dielectric constant. This system suggests a possible route to large-unit-cell complex-sphere phases.

MACROMOLECULES (2021)

Article Biochemistry & Molecular Biology

Liquid-liquid phase separation of Tau by self and complex coacervation

Saeed Najafi, Yanxian Lin, Andrew P. Longhini, Xuemei Zhang, Kris T. Delaney, Kenneth S. Kosik, Glenn H. Fredrickson, Joan-Emma Shea, Songi Han

Summary: The driving force for both Tau complex coacervation and self-coacervation is electrostatic interactions between Tau-RNA or Tau-Tau macromolecules. Liquid condensates formed by complex coacervation show higher micro-viscosity and thermal stability compared to those formed by self-coacervation. Different types of Tau condensates with distinct micro-viscosity can coexist as persistent and immiscible entities in solution under various solution conditions.

PROTEIN SCIENCE (2021)

Article Polymer Science

Molecularly Informed Field Theories from Bottom-up Coarse-Graining

Nicholas Sherck, Kevin Shen, My Nguyen, Brian Yoo, Stephan Kohler, Joshua C. Speros, Kris T. Delaney, M. Scott Shell, Glenn H. Fredrickson

Summary: This method leverages all-atom molecular dynamics to inform coarser field-theoretic models, successfully predicting experimental PEO cloud-point curves without fitting parameters to experimental data. This multiscale simulation approach opens up new avenues for studying phase behavior across different polymer solutions and melt formulations.

ACS MACRO LETTERS (2021)

Article Chemistry, Physical

Open-source platform for block polymer formulation design using particle swarm optimization

Logan J. Case, Kris T. Delaney, Glenn H. Fredrickson, Frank S. Bates, Kevin D. Dorfman

Summary: Efficient exploration of large design spaces is crucial for the development of new functional materials, including self-assembling block polymers. This open-source software package combines particle swarm optimization with self-consistent field theory for inverse design of block polymers, using algorithmically generated initial fields for computation. The software's robustness is demonstrated through searches for various phases in diblock systems.

EUROPEAN PHYSICAL JOURNAL E (2021)

Article Chemistry, Physical

Self-consistent field theory study of polymer-mediated colloidal interactions in solution: Depletion effects and induced forces

Wei Li, Kris T. Delaney, Glenn H. Fredrickson

Summary: The study developed a SCFT method to investigate polymer-mediated colloidal interactions, focusing on depletion effects and exploring mean-field interactions under different physical conditions. The results demonstrated good agreement with previous studies and experiments, extending the work to new regimes and discussing the mechanisms of attraction and repulsion along with the influence of individual factors.

JOURNAL OF CHEMICAL PHYSICS (2021)

Article Computer Science, Interdisciplinary Applications

Deep learning and self-consistent field theory: A path towards accelerating polymer phase discovery

Yao Xuan, Kris T. Delaney, Hector D. Ceniceros, Glenn H. Fredrickson

Summary: A new framework using data obtained from SCFT simulations and deep learning is introduced to accelerate the exploration of parameter space for block copolymers. The method focuses on learning an approximation to the effective Hamiltonian and predicting saddle density fields, while ensuring invariance under shifts and rotations. Data-enhancing techniques and appropriate regularization are used to achieve this invariance.

JOURNAL OF COMPUTATIONAL PHYSICS (2021)

Article Polymer Science

Quantitative Comparison of Field-Update Algorithms for Polymer SCFT and FTS

Daniel L. Vigil, Kris T. Delaney, Glenn H. Fredrickson

Summary: A variety of field-update algorithms for polymer SCFT and FTS were examined, with a comparison showing comparable performance between Anderson mixing and fictitious relaxational dynamics in SCFT. Predictor-corrector algorithms were found to be the most efficient among fictitious dynamics approaches. Adaptive time stepping significantly improved algorithm stability for inhomogeneous systems in FTS simulations.

MACROMOLECULES (2021)

Article Chemistry, Physical

A phase field model for dynamic simulations of reactive blending of polymers

Mukul D. Tikekar, Kris T. Delaney, Michael C. Villet, Douglas R. Tree, Glenn H. Fredrickson

Summary: A phase-field framework is used to model the dynamics of reaction kinetics, diffusion, and thermodynamics in reactive blending of polymers. The microstructure and reaction rate of the blend are found to be affected by the immiscibility, transport, and compatibility of the polymers. The study shows that for irreversibly reacting blends, the microstructure evolves through various morphologies depending on the Flory chi parameter, while for reversible reactions, the equilibrium composition depends on the equilibrium constant and chi parameter. The phase-field models provide a useful tool to understand the complex interplay of thermodynamic and kinetic effects in polymer blending.

SOFT MATTER (2022)

Article Polymer Science

Self-Consistent Field Theory Predicts Universal Phase Behavior for Linear, Comb, and Bottlebrush Diblock Copolymers

Daniel L. Vigil, Timothy Quah, Dan Sun, Kris T. Delaney, Glenn H. Fredrickson

Summary: Using self-consistent field theory, the phase boundaries between periodic microphases for linear, comb-like, and bottlebrush diblock copolymers were mapped, revealing a universal phase diagram for sphere phases including A15 and sigma phases. However, a transition from comb-like to bottlebrush scaling with architectural parameter variation was not observed.

MACROMOLECULES (2022)

Article Chemistry, Physical

Machine learning and polymer self-consistent field theory in two spatial dimensions

Yao Xuan, Kris T. Delaney, Hector D. Ceniceros, Glenn H. Fredrickson

Summary: This study presents a computational framework that combines deep learning with self-consistent field theory simulations to accelerate the exploration of parameter space for block copolymers. Several innovations and improvements are proposed, including the use of a Sobolev space-trained convolutional neural network to handle the dimension increase of monomer density fields and the introduction of a generative adversarial network (GAN) to predict saddle point density fields. The framework demonstrates its potential in accelerating the discovery of polymer nanostructures through the successful application to 2D cell size optimization.

JOURNAL OF CHEMICAL PHYSICS (2023)

Article Chemistry, Physical

Interfacial reaction-induced roughening in polymer thin films

Rajarshi Sengupta, Mukul D. Tikekar, Kris T. Delaney, Michael C. Villet, Glenn H. Fredrickson

Summary: This study investigates the reactive blending process in layered films of immiscible polymers using a phase field model, and reveals that interface roughening leads to spontaneous emulsification. The reaction rate, film thickness, and interaction parameter all influence the system dynamics and interface morphology evolution.

SOFT MATTER (2022)

暂无数据