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Graphene productivity doubles by removing silicon contamination

Researchers have registered the largest electrical charge capacity for graphene, removing silicon pollution, opening up the potential of supermatter.

The team at RMIT in Melbourne demonstrated the effectiveness of using pure graphene over contaminated graphene to build a supercapitator, double the material's performance and get close to its predicted theoretical capacity.

Dr. Dorna Esrafilzadeh at RMIT: “We believe that this pollution underlies many seemingly inconsistent messages about the properties of graphene and, possibly, many other atomically thin two-dimensional materials.

“This level of inconsistency may have cluttered the emergence of large industry applications for graphene-based systems. But it also impedes the development of a regulatory framework governing the introduction of such multilayer nanomaterials, which are destined to become the basis of next-generation devices. ”

A team led by Dr. Efrafilzade and Dr. Ruhollah Ali Jalili checked commercially available samples of graphene, an atom by an atom, using a scanning transitional electron microscope.

Tests showed a high level of contamination, while the silicon present in natural graphite was not completely removed during processing. Contaminated material made 50% worse when tested as electrodes.

The two-dimensional property of graphene sheet material, which has only one atom, makes it ideal for storing electricity and new sensor technology that relies on high surface areas.

Graphene conducts heat and electricity 10 times better than copper, and was perceived as a conversion material for flexible electronics, computer chips, solar panels, water filters and biosensors. Productivity was ambiguous, and the introduction of industry was slow, and silicon pollution was detected in a university study.

With the RMIT Center for Advanced Materials and Industrial Chemistry, the team also used pure graphene to create a universal humidity sensor with the highest sensitivity and lowest detection limit ever reported.

The RMIT study was published in Natural communication.

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