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105 Current news about the topic 2d materials

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Single atom-thin platinum makes a great chemical sensor

Atomically thin platinum could be useful for ultra-sensitive and fast electrical detection of chemicals

16-Sep-2020

Researchers at Chalmers University of Technology, Sweden, together with colleagues from other universities, have discovered the possibility to prepare one-atom thin platinum for use as a chemical sensor. The results were recently published in the scientific journal Advanced Material ...

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A highly light-absorbent and tunable material

New approach to developing optoelectronic devices

13-Aug-2020

By layering different two-dimensional materials, physicists at the University of Basel have created a novel structure with the ability to absorb almost all light of a selected wavelength. The achievement relies on a double layer of molybdenum disulfide. The new structure’s particular properties ...

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"Simulation microscope" examines transistors of the future

"We have created one of the largest databases of transistor materials"

12-Aug-2020

Since the discovery of graphene, two-​dimensional materials have been the focus of materials research. Among other things, they could be used to build tiny, high-​performance transistors. Researchers at ETH Zurich and EPF Lausanne have now simulated and evaluated one hundred possible materials ...

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New material can generate hydrogen from salt and polluted water

2D material efficiently generates hydrogen molecules from fresh, salt, and polluted water by exposure to sunlight

23-Jul-2020

Scientists of Tomsk Polytechnic University jointly with teams from the University of Chemistry and Technology, Prague and Jan Evangelista Purkyne University in Ústí nad Labem have developed a new 2D material to produce hydrogen, which is the basis of alternative energy.The material efficiently ...

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A touch of gold and silver

For the first time, it is possible to produce crystalline layers of precious metals that consist of a single atomic layer and which are semiconducting

05-Jun-2020

Metals are usually characterized by good electrical conductivity. This applies in particular to gold and silver. However, researchers from the Max Planck Institute for Solid State Research in Stuttgart, together with partners in Pisa and Lund, have now discovered that some precious metals lose ...

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Worth their salt: Researchers report first case of hexagonal NaCl

28-May-2020

Skoltech and MIPT scientists have predicted and then experimentally confirmed the existence of exotic hexagonal thin films of NaCl on a diamond surface. These films may be useful as gate dielectrics for field effect transistors in electric vehicles and telecommunication equipment. As graphene, ...

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When predictions of theoretical chemists become reality

Making 2D Topological Polymers a reality

26-May-2020

Thomas Heine, Professor of Theoretical Chemistry at TU Dresden, together with his team, first predicted a topological 2D polymer in 2019. Only one year later, an international team led by Italian researchers was able to synthesize these materials and experimentally prove their topological ...

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A material with a particular twist

Surprising discoveries regarding the behaviour of electrons

28-Apr-2020

In a material made of two thin crystal layers that are slightly twisted with respect to each other, researchers at ETH have studied the behaviour of strongly interacting electrons. Doing so, they found a number of surprising properties. Many modern technologies are based on special materials, ...

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Light from stretchable sheets of atoms for quantum technologies

Largest spectral, color-tuning range from an atomically thin quantum system demonstrated

20-Apr-2020

The researchers say their results, using an atomically thin material, hexagonal boron nitride, constitute a significant step forward in understanding light-matter interactions of quantum systems in 2D materials, and the journey towards scalable on-chip devices for quantum technologies. The study ...

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Neural Hardware for Image Recognition in Nanoseconds

Ultra-fast image sensor with a built-in neural network can be trained to recognize certain objects

06-Mar-2020

Automatic image recognition is widely used today: There are computer programs that can reliably diagnose skin cancer, navigate self-driving cars, or control robots. Up to now, all this has been based on the evaluation of image data as delivered by normal cameras - and that is time-consuming. ...

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