4.5 Article

Electrostatically Tuned Self-Assembly of Branched Amphiphilic Peptides

期刊

JOURNAL OF PHYSICAL CHEMISTRY B
卷 118, 期 29, 页码 8624-8630

出版社

AMER CHEMICAL SOC
DOI: 10.1021/jp503414p

关键词

-

资金

  1. Harry S. Truman Fellowship in National Security Science and Engineering
  2. Laboratory Directed Research and Development program
  3. U.S. Department of Energy, Office of Basic Energy Sciences, Division of Materials Sciences and Engineering [KC0203010]
  4. U.S. Department of Energy's National Nuclear Security Administration [DE-AC04-94AL85000]

向作者/读者索取更多资源

Electrostatics plays an important role in the self-assembly of amphiphilic peptides. To develop a molecular understanding of the role of the electrostatic interactions, we develop a coarse-grained model peptide and apply self-consistent field theory to investigate the peptide assembly into a variety of aggregate nanostructures. We find that the presence and distribution of charged groups on the hydrophilic branches of the peptide can modify the molecular configuration from extended to collapsed. This change in molecular configuration influences the packing into spherical micelles, cylindrical micelles (nanofibers), or planar bilayers. The effects of charge distribution therefore have important implications for the design and utility of functional materials based on peptides.

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

4.5
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, Physical

Solvation Energy of Ions in a Stockmayer Fluid

Cameron J. Shock, Mark J. Stevens, Amalie L. Frischknecht, Issei Nakamura

JOURNAL OF PHYSICAL CHEMISTRY B (2020)

Article Polymer Science

Origin of Mechanical Enhancement in Polymer Nanoparticle (NP) Composites with Ultrahigh NP Loading

Emily Y. Lin, Amalie L. Frischknecht, Robert A. Riggleman

MACROMOLECULES (2020)

Article Polymer Science

Quantifying Single-Ion Transport in Percolated Ionic Aggregates of Polymer Melts

Jonathan A. Bollinger, Mark J. Stevens, Amalie L. Frischknecht

ACS MACRO LETTERS (2020)

Editorial Material Polymer Science

A Curated Experimental Compilation Analyzed by Theory Is More than a Review

Karen I. Winey, Amalie L. Frischknecht

MACROMOLECULES (2020)

Article Chemistry, Physical

Fluorine-Free Precise Polymer Electrolyte for Efficient Proton Transport: Experiments and Simulations

Benjamin A. Paren, Bryce A. Thurston, Arjun Kanthawar, William J. Neary, Aaron Kendrick, Manuel Marechal, Justin G. Kennemur, Mark J. Stevens, Amalie L. Frischknecht, Karen Winey

Summary: Designing polymers with controlled nanoscale morphologies and scalable synthesis is important for developing fluorine-free materials for proton-exchange membranes. This study focuses on a precision polyethylene with phenylsulfonic acid branches, which demonstrates high proton conductivity and strong nanophase separation. Molecular dynamics simulations indicate the potential of such precise hydrocarbon-based polymers as processible and effective proton exchange membranes.

CHEMISTRY OF MATERIALS (2021)

Article Chemistry, Physical

Effect of surface properties and polymer chain length on polymer adsorption in solution

Emily Y. Lin, Amalie L. Frischknecht, Karen I. Winey, Robert A. Riggleman

Summary: In this study, a theoretical approach was used to investigate the behavior of polymer solutions near solid surfaces in polymer nanoparticle composites. It was found that factors such as solvent quality and surface-fluid interactions significantly affect the adsorption and wetting process of polymers.

JOURNAL OF CHEMICAL PHYSICS (2021)

Article Polymer Science

Chain and Segmental Dynamics in Polymer-Nanoparticle Composites with High Nanoparticle Loading

Emily Y. Lin, Amalie L. Frischknecht, Robert A. Riggleman

Summary: Recent studies have shown that polymer-nanoparticle composites with ultra-high NP loading exhibit remarkable mechanical properties, and molecular dynamics simulations reveal that changes in polymer dynamics depend on the number of NPs in contact with a polymer segment, demonstrating a high level of dynamic heterogeneity in PNCs with ultra-high NP loading.

MACROMOLECULES (2021)

Article Polymer Science

Self-Assembled Vesicles from Mixed Brush Nanoparticles in Solution

Jason P. Koski, Amalie L. Frischknecht

Summary: Coarse-grained simulations reveal that binary polymer-grafted nanoparticles can form various structures, including double-walled vesicles, in a selective solvent. Whether randomly grafted or Janus-grafted, the polymers phase-separate on the surface of the NP to form distinct structures.

MACROMOLECULES (2021)

Article Chemistry, Physical

High-pressure hydrogen decompression in sulfur crosslinked elastomers

Mark A. Wilson, Amalie L. Frischknecht

Summary: High-pressure storage and cyclic (de)pressurization of hydrogen can cause damage to gas canisters and materials, but adjusting the crosslink density can reduce the risk of damage.

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2022)

Article Polymer Science

Subdiffusive High-Pressure Hydrogen Gas Dynamics in Elastomers

Matthew Brownell, Amalie L. Frischknecht, Mark A. Wilson

Summary: This study investigates the diffusion behavior of hydrogen gas in EPDM using molecular dynamics simulations, revealing anomalous subdiffusive motion at high pressure and intermediate times. Increasing cross-link density at lower temperatures reduces hydrogen gas localization and cavitation precursors.

MACROMOLECULES (2022)

Article Materials Science, Multidisciplinary

Morphology and Dynamics in Hydroxide-Conducting Polysulfones

Amalie L. Frischknecht, Pieter J. in 't Veld, Igor Kolesnichenko, David J. Arnot, Timothy N. Lambert

Summary: This study compares two cationic polysulfones for their potential application in alkaline zinc-manganese dioxide batteries. Atomistic molecular dynamics simulations reveal well phase separated nanoscale water domains in both polymers, leading to a reduction in hydroxide and water diffusion constants compared to bulk water, explaining the strong exclusion of zincate from the polysulfone membranes observed experimentally.

ACS APPLIED POLYMER MATERIALS (2022)

Article Polymer Science

Explicit Polarization in Coarse-Grained Simulations of Ionomer Melts

Christopher Balzer, Amalie L. Frischknecht

Summary: The structure and morphology of ionic aggregates in ionomer melts significantly affect their ion transport properties. By incorporating polarization in ionomer melts, this study examines the role of polarization in the structure and dynamics of pendant ionomers and compares it to non-polarizable systems. The results show that polarization leads to smaller ionic aggregates and less overall ion structuring. Additionally, the time scale for free counterion diffusion is found to be independent of the morphology under certain conditions.

MACROMOLECULES (2022)

Article Polymer Science

Phase Behavior of Polymer-Grafted Nanoparticles in Homopolymer Blends from Simulations

A. P. Santos, Amalie L. Frischknecht

Summary: The phase behavior of polymer-grafted nanoparticles (gNPs) in homopolymer matrices has been investigated using coarse-grained simulations. The results show that the phase diagram for gNPs densely grafted with short A chains and blended with long B homopolymer chains is significantly shifted, due to a loss of chain configurational entropy for the long B matrix chains to penetrate the polymer brushes around the gNPs. Adding additional A homopolymer to the polymer matrix increases the miscibility of the gNPs on the gNP-rich side of the phase diagram.

MACROMOLECULES (2022)

Article Materials Science, Multidisciplinary

Surrogate molecular dynamics simulation model for dielectric constants with ensemble neural networks

Tong Gao, Cameron J. Shock, Mark J. Stevens, Amalie L. Frischknecht, Issei Nakamura

Summary: This study develops ensemble neural networks (ENN) as computationally fast surrogate models for Stockmayer fluid molecular dynamics (MD) simulations to determine the dielectric constants of polar solvents and NaCl solutions. The ENNs are trained using only 50-times less data compared to MD simulations, yet their predictions using batch normalization or bagging are in good agreement with the full MD results. The ENN methods are capable of extracting reliable values from statistically noisy data.

MRS COMMUNICATIONS (2022)

暂无数据