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Less is more? New take on machine learning helps us

Researchers from Tokyo Metropolitan University have enhanced super-resolution machine learning techniques to study phase transitions. They identified key features of how large arrays of interacting particles behave at different temperatures by simulating tiny arrays before using a convolutional neural network to generate a good estimate of what a larger array would look like using correlation configurations. The massive saving in computational cost may realize unique ways of understanding how materials behave. ....

Hiroyuki Mori , Yutaka Okabe , Agency For Science , Scientific Research , Tokyo Metropolitan University , Bioinformatics Institute Of Singapore , Research Fellowship For Young Scientists , Research Attachment Programme Of Singapore , Japan Society For The Promotion Of Science , Shibaura Institute Of Technology , Professors Yutaka Okabe , Shibaura Institute , Bioinformatics Institute , Japan Society , Research Fellowship , Young Scientists , Research Attachment Programme , Atmospheric Science , Chemistry Physics Materials Sciences , Earth Science , Temperature Dependent Phenomena , Mathematics Statistics , Systems Chaos Pattern Formation Complexity , Technology Engineering Computer Science , ஹீரோயுக்கி மோரி , யத்க ஒக்கபே ,

It takes some heat to form ice!


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IMAGE: The study results of Anton Tamtögl et al lead to a completely new understanding of ice formation: Water molecules require additional energy before they freeze into ice.
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Credit: © Lunghammer - TU Graz
Water freezes and turns to ice when brought in contact with a cold surface - a well-known fact. However, the exact process and its microscopic details remained elusive up to know. Anton Tamtögl from the Institute of Experimental Physics at TU Graz explains: The first step in ice formation is called nucleation and happens in an incredibly short length of time, a fraction of a billionth of a second, when highly mobile individual water molecules find each other and coalesce. Conventional microscopes are far too slow to follow the motion of water molecules and so it is impossible to use them to watch how molecules combine on top of solid surfaces. ....

United Kingdom , Anton Tamt , Nature Communications , Cavendish Laboratory In Cambridge , Institute Of Experimental Physics , Experimental Physics , Helium Spin Echo , Cavendish Laboratory , Advanced Materials Science , Chemistry Physics Materials Sciences , Atomic Molecular Particle Physics , Temperature Dependent Phenomena , Research Development , Molecular Physics , ஒன்றுபட்டது கிஂக்டம் , இயற்கை தகவல்தொடர்புகள் , கேவன்டிஷ் ஆய்வகம் இல் கேம்பிரிட்ஜ் , நிறுவனம் ஆஃப் சோதனை இயற்பியல் , சோதனை இயற்பியல் , கேவன்டிஷ் ஆய்வகம் , வேதியியல் இயற்பியல் பொருட்கள் அறிவியல் ,

Dry metastable olivine and slab deformation in a wet subducting slab

Our results suggest that olivine and wadsleyite show dry transformation kinetics even in wet slabs. It is therefore possible that olivine transformation as a cause of deep-focus earthquakes and large slab deformation creating stagnant slabs could occur in the water-undersaturated wet slabs. These processes could be caused jointly by dehydration of hydrous minerals and the subsequent rapid phase transformation when the dehydration starts at lower temperatures than the phase transformation. ....

Eiji Otani , Takayuki Ishii Eiji Ohtani , Takayuki Ishii , Bavarian Institute Of Geosciences , University Of Bayreuth , High Pressure Science Technology Advanced Research , Tohoku University , High Pressure Science , Technology Advanced Research , Bavarian Institute , Eiji Ohtani , Nature Geoscience , Earth Science , Hydrology Water Resources , Plate Tectonics , Temperature Dependent Phenomena , தோஹோக்கு பல்கலைக்கழகம் , உயர் ப்ரெஶர் அறிவியல் , இயற்கை புவி அறிவியல் , பூமி அறிவியல் ,