Predictive Molecular Models for Charged Materials Systems: From Energy Materials to Biomacromolecules-Reference-Cited by-同舟云学术

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Predictive Molecular Models for Charged Materials Systems: From Energy Materials to Biomacromolecules

Published:2022-11-14 Issue:4 Volume:35 Page:2204272
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Advanced Materials

Author:

Jeong Kyeong‐jun¹^ORCID,Jeong Seungwon¹^ORCID,Lee Sangmin¹^ORCID,Son Chang Yun¹^ORCID

Affiliation:

1. Department of Chemistry Pohang University of Science and Technology (POSTECH) Pohang 790‐784 South Korea

Funder

Ministry of Science and ICT, South Korea

Samsung

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.202204272

Reference298 articles.

1. Efficient storage mechanisms for building better supercapacitors

2. Microscopic Simulations of Electrochemical Double-Layer Capacitors

3. Electrostatic control of block copolymer morphology

4. Diffusion in Lamellae, Cylinders, and Double Gyroid Block Copolymer Nanostructures

5. Kinetic Charging Inversion in Ionic Liquid Electric Double Layers

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Accounting for the Quantum Capacitance of Graphite in Constant Potential Molecular Dynamics Simulations;Advanced Materials;2024-08-03

2. Aquatic Functional Liquid Crystals: Design, Functionalization, and Molecular Simulation;Advanced Science;2023-12-21

3. Regulating the electrical double layer to prevent water electrolysis for wet ionic liquids with cheap salts;Nanoscale;2023

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