A method for continuously mass-manufacturing graphene using thermal plasma, the method for continuously mass-manufacturing graphene includes the steps of: (a) injecting an inert gas into a plasma device to generate plasma; (b) injecting expandable graphite and graphite intercalation compounds (GIC) into the plasma device in constant amounts; and (c) allowing the expandable graphite and GIC to be expanded by thermal plasma treatment so that graphene is exfoliated.

A method for continuously mass-manufacturing graphene using thermal plasma, the method for continuously mass-manufacturing graphene includes the steps of: (a) injecting an inert gas into a plasma device to generate plasma; (b) injecting expandable graphite and graphite intercalation compounds (GIC) into the plasma device in constant amounts; and (c) allowing the expandable graphite and GIC to be expanded by thermal plasma treatment so that graphene is exfoliated.

The present embodiments relate to a method for manufacturing a two-dimensional material using a top-down method, the method includes the steps of preparing a bulk crystal, forming a metal layer on the bulk crystal, and then attaching a thermal release tape on the metal layer, exfoliating a two-dimensional material to which the metal layer and the thermal release tape have been attached from the bulk crystal, transferring the two-dimensional material to which the metal layer and the thermal release tape have been attached onto a substrate, and removing the thermal release tape and the metal layer from the substrate onto which the two-dimensional material has been transferred.

The present embodiments relate to a method for manufacturing a two-dimensional material using a top-down method, the method includes the steps of preparing a bulk crystal, forming a metal layer on the bulk crystal, and then attaching a thermal release tape on the metal layer, exfoliating a two-dimensional material to which the metal layer and the thermal release tape have been attached from the bulk crystal, transferring the two-dimensional material to which the metal layer and the thermal release tape have been attached onto a substrate, and removing the thermal release tape and the metal layer from the substrate onto which the two-dimensional material has been transferred.

A composite with high energy storage capacity for use in energy storage devices includes graphene and mesoporous graphitic carbon nitride (mc@g-C.sub.3N.sub.4). The graphitic carbon nitride is coated on mesoporous carbon (mc@g-C3N4) at a concentration ranging from 3% to 33%. The graphitic carbon nitride is obtained from condensation of mesoporous carbon and urea or a precursor thereof. Electrodes may be prepared from the composite. High energy high power storage devices such as the Electric Double Layer Capacitor (EDLC) may be fabricated with these electrodes.

A composite with high energy storage capacity for use in energy storage devices includes graphene and mesoporous graphitic carbon nitride (mc@g-C.sub.3N.sub.4). The graphitic carbon nitride is coated on mesoporous carbon (mc@g-C3N4) at a concentration ranging from 3% to 33%. The graphitic carbon nitride is obtained from condensation of mesoporous carbon and urea or a precursor thereof. Electrodes may be prepared from the composite. High energy high power storage devices such as the Electric Double Layer Capacitor (EDLC) may be fabricated with these electrodes.

A method for the manufacture of pristine graphite from Kish graphite including three different steps A, B and C; the pristine obtained with among others a high amount of carbon atoms, i.e. a pristine graphene having a high purity; and the use of this pristine graphene.

A method for the manufacture of pristine graphite from Kish graphite including three different steps A, B and C; the pristine obtained with among others a high amount of carbon atoms, i.e. a pristine graphene having a high purity; and the use of this pristine graphene.

A method for classifying images of oligolayer exfoliation attempts. In some embodiments, the method includes forming a micrograph of a surface, and classifying the micrograph into one of a plurality of categories. The categories may include a first category, consisting of micrographs including at least one oligolayer flake, and a second category, consisting of micrographs including no oligolayer flakes, the classifying comprising classifying the micrograph with a neural network.

A method for classifying images of oligolayer exfoliation attempts. In some embodiments, the method includes forming a micrograph of a surface, and classifying the micrograph into one of a plurality of categories. The categories may include a first category, consisting of micrographs including at least one oligolayer flake, and a second category, consisting of micrographs including no oligolayer flakes, the classifying comprising classifying the micrograph with a neural network.