Predicting the Probability of Observation of Arbitrary Graphene Oxide Nanoflakes Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Predicting the Probability of Observation of Arbitrary Graphene Oxide Nanoflakes Using Artificial Neural Networks

Published:2022-02-20 Issue:5 Volume:5 Page:2200013
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Advcd Theory and Sims

Author:

Motevalli Benyamin¹,Hyde Lachlan²,Fox Bronwyn L.³,Barnard Amanda S.⁴^ORCID

Affiliation:

1. CSIRO Data61 Docklands VIC 3008 Australia

2. Manufacturing Futures Research Institute Swinburne University of Technology Hawthorn VIC 3122 Australia

3. CSIRO Clayton VIC 3168 Australia

4. School of Computing Australian National University Acton ACT 2601 Australia

Funder

National Computational Infrastructure

Publisher

Wiley

Subject

Multidisciplinary,Modeling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.202200013

Reference72 articles.

1. Harvesting graphene oxide – years 1859 to 2019: a review of its structure, synthesis, properties and exfoliation

2. Synthesis of graphene-based nanosheets via chemical reduction of exfoliated graphite oxide

3. Graphene and Graphene Oxide: Synthesis, Properties, and Applications

4. Graphene oxide: from fundamentals to applications

5. Graphene oxide incorporated functional materials: A review

Cited by 4 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. Ultra Sensitive Rapid Electrochemical Detection of Lead Based on Laser Reduced Graphene Oxide Sensor in Biological Object;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29

2. Simultaneous Prediction and Optimization of Charge Transfer Properties of Graphene and Graphene Oxide Nanoflakes from Multitarget Machine Learning;The Journal of Physical Chemistry C;2023-10-18

3. Importance of Structural Features and the Influence of Individual Structures of Graphene Oxide Using Shapley Value Analysis;Chemistry of Materials;2023-08-25

4. Charge-dependent Fermi level of graphene oxide nanoflakes from machine learning;Computational Materials Science;2022-08

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