Pillaring Behavior of Organic Molecules on MXene: Insights from Molecular Dynamics Simulations-Reference-Cited by-同舟云学术

Pillaring Behavior of Organic Molecules on MXene: Insights from Molecular Dynamics Simulations

Published:2023-10-09 Issue:42 Volume:39 Page:14912-14921
ISSN:0743-7463
Container-title:Langmuir
language:en
Short-container-title:Langmuir

Author:

Qiu Xiangcui¹,Dai Li¹,Li Haibo¹^ORCID,Qu Konggang¹,Li Rui¹^ORCID

Affiliation:

1. Shandong Provincial Key Laboratory/Collaborative Innovation Center of Chemical Energy Storage & Novel Cell Technology, School of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252000, China

Funder

Natural Science Foundation of Shandong Province

Development Project of Youth Innovation Team in Shandong Colleges and Universities

Publisher

American Chemical Society (ACS)

Subject

Electrochemistry,Spectroscopy,Surfaces and Interfaces,Condensed Matter Physics,General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.langmuir.3c01682

Reference78 articles.

1. Two-Dimensional Nanocrystals Produced by Exfoliation of Ti3AlC2

2. Are MXenes Promising Anode Materials for Li Ion Batteries? Computational Studies on Electronic Properties and Li Storage Capability of Ti3C2 and Ti3C2X2 (X = F, OH) Monolayer

3. Pseudocapacitance of MXene nanosheets for high-power sodium-ion hybrid capacitors

4. Recent Advances in Layered Ti3C2TxMXene for Electrochemical Energy Storage

5. MXene chemistry, electrochemistry and energy storage applications

Cited by 5 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. Innovations in Battery Interfaces;Langmuir;2024-08-27

2. Unveiling cutting-edge progress in the fundamentals of MXene: Synthesis strategies, energy and bio-environmental applications;Coordination Chemistry Reviews;2024-07

3. Comparing mechanism response and thermal conductivity of Ti₃C₂ and Ti₃C₂O₂;Japanese Journal of Applied Physics;2024-04-01

4. Machine Learning‐Assisted Survey on Charge Storage of MXenes in Aqueous Electrolytes;Small Methods;2024-03-26

5. Predicting Natural Rubber Crystallinity by a Novel Machine Learning Algorithm Based on Molecular Dynamics Simulation Data;Langmuir;2023-11-20