Solventless Conducting Paste Based on Graphene Nanoplatelets for Printing of Flexible, Standalone Routes in Room Temperature

Pepłowski, Andrzej; Walter, Piotr; Janczak, Daniel; Górecka, Żaneta; Święszkowski, Wojciech; Jakubowska, М.

doi:10.3390/nano8100829

Cited by 6 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Graphene, due to its one-atom-thick 2D structure and excellent performance, has attracted extensive interest in recent years [ 1 , 2 , 3 ]. Composite materials based on graphene have excellent thermal and electrical conductivity [ 4 , 5 ], thermal stability [ 6 ], mechanical properties [ 7 , 8 ], optical characteristics [ 9 , 10 ], and polymer flexibility [ 11 ]. Therefore, graphene-based composites are becoming important parts of the field of graphene application.…”

Section: Introductionmentioning

confidence: 99%

Calculating the Electrical Conductivity of Graphene Nanoplatelet Polymer Composites by a Monte Carlo Method

et al. 2020

View full text Add to dashboard Cite

Electrical conductivity is one of several outstanding features of graphene–polymer nanocomposites, but calculations of this property require the intricate features of the underlying conduction processes to be accounted for. To this end, a novel Monte Carlo method was developed. We first established a randomly distributed graphene nanoplatelet (GNP) network. Then, based on the tunneling effect, the contact conductance between the GNPs was calculated. Coated surfaces (CSs) were next set up to calculate the current flow from the GNPs to the polymer. Using the equipotential approximation, the potentials of the GNPs and CSs met Kirchhoff’s current law, and, based on Laplace equation, the potential of the CSs was obtained from the potential of the GNP by the walk-on-spheres (WoS) method. As such, the potentials of all GNPs were obtained, and the electrical conductivity of the GNP polymer composites was calculated. The barrier heights, polymer conductivity, diameter and thickness of the GNP determining the electrical conductivity of composites were studied in this model. The calculated conductivity and percolation threshold were shown to agree with experimental data.

show abstract

Section: Introductionmentioning

confidence: 99%

Calculating the Electrical Conductivity of Graphene Nanoplatelet Polymer Composites by a Monte Carlo Method

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The graphene nanoplatelets manufactured by XG Science (XG Science, Inc.; Lansing, MI, USA) (GNP M25) with average particle dimensions of 20-25 µm and a thickness of 19 sheets of graphene were used as the material of the functional phase [26]. The material was also used and characterised in our previous studies [27,28] 3 below. The AKM-0531 surfactant MALIALIM series from the NOF company (NOF America Corporation; White Plains, NY, USA) was used in the studies.…”

Section: Methodsmentioning

confidence: 99%

Printed Graphene Layer as a Base for Cell Electrostimulation—Preliminary Results

Dybowska-Sarapuk

Sosnowicz

Krzemiński

et al. 2020

IJMS

View full text Add to dashboard Cite

Nerve regeneration through cell electrostimulation will become a key finding in regenerative medicine. The procedure will provide a wide range of applications, especially in body reconstruction, artificial organs or nerve prostheses. Other than in the case of the conventional polystyrene substrates, the application of the current flow in the cell substrate stimulates the cell growth and mobility, supports the synaptogenesis, and increases the average length of neuron nerve fibres. The indirect electrical cell stimulation requires a non-toxic, highly electrically conductive substrate material enabling a precise and effective cell electrostimulation. The process can be successfully performed with the use of the graphene nanoplatelets (GNPs)—the structures of high conductivity and biocompatible with mammalian NE-4C neural stem cells used in the study. One of the complications with the production of inks using GNPs is their agglomeration, which significantly hampers the quality of the produced coatings. Therefore, the selection of the proper amount of the surfactant is paramount to achieve a high-quality substrate. The article presents the results of the research into the material manufacturing used in the cell electrostimulation. The outcomes allow for the establishment of the proper amount of the surfactant to achieve both high conductivity and quality of the coating, which could be used not only in electronics, but also—due to its biocompatibility—fruitfully applied to the cell electrostimulation.

show abstract

“…The conductivity of graphene can be as high as 10 2 –10 4 S/cm, and the large specific surface area makes it easier to construct long-range, through-conducting network structures in polymer matrices, so graphene has been widely used to prepare CPCs [ 100 , 101 , 102 , 103 , 104 ]. Limited by the inability to obtain microstructural information within CPCs by experimental means [ 105 , 106 ], a series of studies on the Monte Carlo modeling of graphene-filled CPCs has been carried out in recent years, which is systematically summarized in this section.…”

Section: Monte Carlo Models For the Electrical Percolation Behavior O...mentioning

confidence: 99%

Advances in Monte Carlo Method for Simulating the Electrical Percolation Behavior of Conductive Polymer Composites with a Carbon-Based Filling

Zhang,

Hu,

Wang

et al. 2024

Polymers

View full text Add to dashboard Cite

Conductive polymer composites (CPCs) filled with carbon-based materials are widely used in the fields of antistatic, electromagnetic interference shielding, and wearable electronic devices. The conductivity of CPCs with a carbon-based filling is reflected by their electrical percolation behavior and is the focus of research in this field. Compared to experimental methods, Monte Carlo simulations can predict the conductivity and analyze the factors affecting the conductivity from a microscopic perspective, which greatly reduces the number of experiments and provides a basis for structural design of conductive polymers. This review focuses on Monte Carlo models of CPCs with a carbon-based filling. First, the theoretical basis of the model’s construction is introduced, and a Monte Carlo simulation of the electrical percolation behaviors of spherical-, rod-, disk-, and hybridfilled polymers and the analysis of the factors influencing the electrical percolation behavior from a microscopic point of view are summarized. In addition, the paper summarizes the progress of polymer piezoresistive models and polymer foaming structure models that are more relevant to practical applications; finally, we discuss the shortcomings and future research trends of existing Monte Carlo models of CPCs with carbon-based fillings.

show abstract

Solventless Conducting Paste Based on Graphene Nanoplatelets for Printing of Flexible, Standalone Routes in Room Temperature

Cited by 6 publications

References 36 publications

Calculating the Electrical Conductivity of Graphene Nanoplatelet Polymer Composites by a Monte Carlo Method

Calculating the Electrical Conductivity of Graphene Nanoplatelet Polymer Composites by a Monte Carlo Method

Printed Graphene Layer as a Base for Cell Electrostimulation—Preliminary Results

Advances in Monte Carlo Method for Simulating the Electrical Percolation Behavior of Conductive Polymer Composites with a Carbon-Based Filling

Contact Info

Product

Resources

About