Credit: FLEET
Just as James Cameron s Terminator-800 was able to discriminate between clothes, boots, and a motorcycle , machine-learning could identify different areas of interest on 2D materials.
The simple, automated optical identification of fundamentally different physical areas on these materials (eg, areas displaying doping, strain, and electronic disorder) could significantly accelerate the science of atomically-thin materials.
Atomically-thin (or 2D) layers of matter are a new, emerging class of materials that will serve as the basis for next-generation energy-efficient computing, optoelectronics and future smart-phones. Without any supervision, machine-learning algorithms were able to discriminate between differently perturbed areas on a 2D semiconducting material, explains lead author Dr Pavel Kolesnichenko. This can lead to fast, machine-aided characterization of 2D materials in the future, accelerating application of these materials in next-generation low-energy
Sloshing Quantum Fluids Of Light And Matter To Probe Superfluidity photonicsonline.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from photonicsonline.com Daily Mail and Mail on Sunday newspapers.
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While we have become used to seeing stripes and spots in nature, it still seems amazing to see similarily distinct Turing patterns form on non-biological surfaces. Now, an international research collaboration has uncovered the magic of metallography - observing the formation of these highly ordered patterns and using super computers to simulate the process of accumulation as they form at the surface of solidified metal alloys.
Image: Conceptual illustration of the study (Image by sciencebrush.design)
“Stripy zebra, spotty leopard, …”. Kids never become bored pinpointing animals based on their unique body patterns. While it is fascinating that living creatures develop distinct patterns on their skin, what may be even more mysterious is their striking similarity to the skin of frozen liquid metals.
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IMAGE: The new material could be used to develop devices that convert blood pressure into a power source for pacemakers. view more
Credit: Image of pacemaker by Lucien Monfils, licensed under the Creative Commons Attribution-Share Alike 3.0 Unported, 2.5 Generic, 2.0 Generic and 1.0 Generic license.
A new type of ultra-efficient, nano-thin material could advance self-powered electronics, wearable technologies and even deliver pacemakers powered by heart beats.
The flexible and printable piezoelectric material, which can convert mechanical pressure into electrical energy, has been developed by an Australian research team led by RMIT University.
It is 100,000 times thinner than a human hair and 800% more efficient than other piezoelectrics based on similar non-toxic materials.
Seeking Answers in Ferroelectric Patterning
Why do some ferroelectric materials display bubble-shaped patterning, while others display complex, labyrinthine patterns?
Thin-film ferroelectric materials display characteristic, evolving patterns
A FLEET study finds the answer to the changing patterns in ferroelectric films lies in non-equilibrium dynamics, with topological defects driving subsequent evolution.
Ferroelectric materials can be considered an electrical analogy to ferromagnetic materials, with their permanent electric polarisation resembling the north and south poles of a magnet.
Understanding the physics behind their domain-pattern changes is crucial for designing advanced low-energy ferroelectric electronics, or brain-inspired neuromorphic computing.
LABYRINTHINE VS BUBBLES: WHAT PATTERNS REVEAL
The characteristic domain patterns of thin-film ferroelectric materials are strongly influenced by the type of materials, and by the film configuration (substrate, electrod