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1. One-Pot Synthesis of Reduced Graphene Oxide/Metal (Oxide) Composites

   https://doi.org/10.1021/acsami.7b12539  

   Wu, Xu; Xing, Yuqian; Pierce, David; Zhao, Julia Xiaojun (October 2017, ACS Applied Materials & Interfaces)
2. Mechanical Characterization of Reduced Graphene Oxide Using AFM

   https://doi.org/10.1155/2019/8713965  

   Teklu, Alem; Barry, Canyon; Palumbo, Matthew; Weiwadel, Collin; Kuthirummal, Narayanan; Flagg, Jason (January 2019, Advances in Condensed Matter Physics)

   Nanoindentation coupled with Atomic Force Microscopy was used to study stiffness, hardness, and the reduced Young’s modulus of reduced graphene oxide. Oxygen reduction on the graphene oxide sample was performed via LightScribe DVD burner reduction, a cost-effective approach with potential for large scale graphene production. The reduction of oxygen in the graphene oxide sample was estimated to about 10 percent using FTIR spectroscopic analysis. Images of the various samples were captured after each reduction cycle using Atomic Force Microscopy. Elastic and spectroscopic analyses were performed on the samples after each oxygen reduction cycle in the LightScribe, thus allowing for a comparison of stiffness, hardness, and the reduced Young’s modulus based on the number of reduction cycles. The highest values obtained were after the fifth and final reduction cycle, yielding a stiffness of 22.4 N/m, a hardness of 0.55 GPa, and a reduced Young’s modulus of 1.62 GPa as compared to a stiffness of 22.8 N/m, a hardness of 0.58 GPa, and a reduced Young’s modulus of 1.84 GPa for a commercially purchased graphene film made by CVD. This data was then compared to the expected values of pristine single layer graphene. Furthermore, two RC circuits were built, one using a parallel plate capacitors made of light scribed graphene on a kapton substrate (LSGC) and a second one using a CVD deposited graphene on aluminum (CVDGC). Their RC time constants and surface charge densities were compared. 

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3. Zinc oxide: reduced graphene oxide nanocomposite film for heterogeneous photocatalysis

   https://doi.org/10.1007/s11082-019-2132-1  

   Toporovska, L.; Turko, B.; Savchak, M.; Seyedi, M.; Luzinov, I.; Kostruba, A.; Kapustianyk, V.; Vaskiv, A. (January 2020, Optical and Quantum Electronics)
4. Highly Conductive and Transparent Reduced Graphene Oxide Nanoscale Films via Thermal Conversion of Polymer-Encapsulated Graphene Oxide Sheets

   https://doi.org/10.1021/acsami.7b16500  

   Savchak, Mykhailo; Borodinov, Nikolay; Burtovyy, Ruslan; Anayee, Mark; Hu, Kesong; Ma, Ruilong; Grant, Anise; Li, Hongmei; Cutshall, Daniel B.; Wen, Yimei; et al (January 2018, ACS Applied Materials & Interfaces)
5. Reduced Graphene Oxide-Metalloporphyrin Sensors for Human Breath Screening

   https://doi.org/10.3390/app112311290  

   Lee, Bo Mi; Eetemadi, Ameen; Tagkopoulos, Ilias (December 2021, Applied Sciences)

   The objective of this study is to validate reduced graphene oxide (RGO)-based volatile organic compounds (VOC) sensors, assembled by simple and low-cost manufacturing, for the detection of disease-related VOCs in human breath using machine learning (ML) algorithms. RGO films were functionalized by four different metalloporphryins to assemble cross-sensitive chemiresistive sensors with different sensing properties. This work demonstrated how different ML algorithms affect the discrimination capabilities of RGO–based VOC sensors. In addition, an ML-based disease classifier was derived to discriminate healthy vs. unhealthy individuals based on breath sample data. The results show that our ML models could predict the presence of disease-related VOC compounds of interest with a minimum accuracy and F1-score of 91.7% and 83.3%, respectively, and discriminate chronic kidney disease breath with a high accuracy, 91.7%. 

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