A quantum computer may have solved a problem in minutes that would take the fastest conventional supercomputer more than 10,000 years. A draft of a paper by Google researchers laying out the achievement leaked in recent days, ...
Quantum Physics
Sep 26, 2019
0
303
aluminum alloys have unique material properties and are indispensable materials in aircraft manufacturing and space technology. With the help of high-resolution electron tomography, researchers at TU Graz have for the first ...
Nanomaterials
Nov 14, 2018
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16
Solving a complex problem quickly requires careful tradeoffs – and simulating the behavior of materials is no exception. To get answers that predict molecular workings feasibly, scientists must swap in mathematical approximations ...
Quantum Physics
Nov 2, 2018
0
17
One enigma that has perplexed scientists is how new particles form in the atmosphere. They know how aerosols can grow into sizes large enough to seed cloud droplets, but those same theories fail to explain how the initial ...
Materials Science
Aug 9, 2018
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4
Chiral molecules are mirror images of one another. They are non-superimposable and play a crucial role in advanced materials and technologies. However, there had been no reliable theoretical systems for the design and synthesis ...
Materials Science
Jul 6, 2018
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8
With the help of ultrafast spectroscopy and quantum mechanical calculations, Ludwig-Maximilians-Universitaet (LMU) in Munich researchers have characterized the complete rotational cycle of the light-driven, chemical motor ...
Materials Science
Apr 20, 2018
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10
Recent work from the ARC Centre of Excellence in Exciton Science, published in Nature Communications today, bridges the cultural gap between organic chemists and theoreticians that is embodied in the "curly arrow."
Materials Science
Apr 12, 2018
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3
Solar cells can't stand the heat. Photovoltaics lose some energy as heat in converting sunlight to electricity. The reverse holds true for lights made with light-emitting diodes (LED), which convert electricity into light. ...
Materials Science
Feb 6, 2018
0
28
A team of researchers from MIPT, Skoltech, and Dukhov Research Institute of Automatics, led by Artem Oganov, used a machine learning technique to model the behavior of aluminum and uranium in the liquid and crystalline phases ...
Materials Science
Oct 3, 2017
0
12
Researchers at the Universities of Vienna and Göttingen have succeeded in developing a method for predicting molecular infrared spectra based on artificial intelligence. These chemical "fingerprints" could only be simulated ...
Materials Science
Sep 26, 2017
0
15
