Catalysts are indispensable for many technologies. To further improve heterogeneous catalysts, it is required to analyze the complex processes on their surfaces, where the active sites are located. Scientists at Karlsruhe ...
General Physics
Dec 17, 2020
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3
A unique nanocluster of copper atoms created by KAUST researchers could serve as a roadmap to guide the design of new catalysts and imaging agents.
Nanomaterials
Aug 17, 2020
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6
A complex process can modify non-magnetic oxide materials in such a way to make them magnetic. The basis for this new phenomenon is controlled layer-by-layer growth of each material. An international research team with researchers ...
Nanophysics
Aug 6, 2020
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5
NUS scientists have demonstrated an interlayer-space-confined chemical design (ICCD) method for the synthesis of single-atom doped tantalum disulfide (TaS2) molecular superlattice, where ferromagnetism was successfully introduced ...
Nanomaterials
Jul 30, 2020
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5
Infrared nonlinear optical (IR–NLO) materials are crucial for a broad range of applications, such as signal communication, microscopy and data processing. Yet, the challenge is how to obtain a strictly structural non-centrosymmetric ...
Materials Science
Jul 16, 2020
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6
In solid materials, when an electron changes position without another to fill its place, a positively charged 'hole' can appear which is attracted to the original electron. In more complex situations, the process can even ...
General Physics
Jun 18, 2020
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4
A research team from Bochum has determined the size of neutrons in a more direct way than ever before, thus correcting previous assumptions.
General Physics
Feb 26, 2020
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17
Katherine Johnson, a mathematician who calculated rocket trajectories and earth orbits for NASA's early space missions and was later portrayed in the 2016 hit film "Hidden Figures," about pioneering black female aerospace ...
Space Exploration
Feb 24, 2020
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143
How an electron behaves in an atom, or how it moves in a solid, can be predicted precisely with the equations of quantum mechanics. These theoretical calculations agree fully with the results obtained from experiments. But ...
Quantum Physics
Feb 20, 2020
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361
Researchers in Japan have developed an approach that can better predict the properties of materials by combining high throughput experimental and calculation data together with machine learning. The approach could help hasten ...
Materials Science
Jan 27, 2020
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