Sequence-Engineering Polyethylene–Polypropylene Copolymers with High Thermal Conductivity Using a Molecular-Dynamics-Based Genetic Algorithm-Reference-Cited by-同舟云学术

Sequence-Engineering Polyethylene–Polypropylene Copolymers with High Thermal Conductivity Using a Molecular-Dynamics-Based Genetic Algorithm

Published:2021-05-05 Issue:6 Volume:17 Page:3772-3782
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Zhou Tianhang¹,Wu Zhenghao¹^ORCID,Chilukoti Hari Krishna¹²^ORCID,Müller-Plathe Florian¹^ORCID

Affiliation:

1. Eduard-Zintl-Institut für Anorganische und Physikalische Chemie, Technische Universität Darmstadt, Alarich-Weiss-Street 8, 64287 Darmstadt, Germany

2. Department of Mechanical Engineering, National Institute of Technology Warangal, Warangal, 506004 Telangana, India

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.1c00134

Reference58 articles.

1. Anisotropic Ionic Conductivity in Block Copolymer Membranes by Magnetic Field Alignment

2. Effect of Nanoscale Morphology on the Conductivity of Polymerized Ionic Liquid Block Copolymers

3. Ionic Conductivity, Capacitance, and Viscoelastic Properties of Block Copolymer-Based Ion Gels

4. Star Brush Block Copolymer Electrolytes with High Ambient-Temperature Ionic Conductivity for Quasi-Solid-State Lithium Batteries

5. Enhanced Conductivity via Homopolymer-Rich Pathways in Block Polymer-Blended Electrolytes

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