AI finds 2D materials in the blink of an eye
by Staff Writers
Tokyo, Japan (SPX) Apr 06, 2020
Researchers at the Institute of Industrial Science, a part of The University of Tokyo, demonstrated a novel artificial intelligence system that can find and label 2D materials in microscope images in the blink of an eye. This work can help shorten the time required for 2D material-based electronics to be ready for consumer devices.
Two-dimensional materials offer an exciting new platform for the creation of electronic devices, such as transistors and light-emitting diodes. The family of crystals that can be made just one atom thick include metals, semiconductors, and insulators. Many of these are stable under ambient conditions, and their properties often different significantly from those of their 3D counterparts.
Even stacking a few layers together can alter the electronic characteristics to make them suitable for next-generation batteries, smartphone screens, detectors, and solar cells. And perhaps even more amazing: you can make some yourself using office supplies. The 2010 Nobel Prize in Physics was awarded for the realization that atomically thin "graphene" can be obtained by exfoliating piece of pencil lead, graphite, with a piece of sticky scotch tape.
So, what keeps you from making your own electronic devices at work between meetings? Unfortunately, the atomically thin 2D crystals have low fabrication yields and their optical contrasts comprise a very broad range, and finding them under a microscope is a tedious job.
Now, a team led by The University of Tokyo has succeeded in automating this task using machine learning. The used many labeled examples with various lighting to train the computer to detect the outline and thickness of the flakes without having to fine tune the microscope parameters. "By using machine learning instead of conventional rule-based detection algorithms, our system was robust to changing conditions," says first author Satoru Masubuchi.
The method is generalizable to many other 2D materials, sometimes without needing any addition data. In fact, the algorithm was able to detect tungsten diselenide and molybdenum diselenide flakes just by being trained with tungsten ditelluride examples. With the ability to determine, in less than 200 milliseconds, the location and thickness of the exfoliated samples, the system can be integrated with a motorized optical microscope.
"The automated searching and cataloging of 2D materials will allow researchers to test a large number of samples simply by exfoliating and running the automated algorithm," senior author Tomoki Machida says. "This will greatly speed the development cycle of new electronic devices based on 2D materials, as well as advance the study of superconductivity and ferromagnetism in 2D, where there is no long-range order."
World Centric announces new World Centric leaf fiber lids
Rohnert Park, CA (SPX) Mar 30, 2020
World Centric told Terra Daily that it has launched its new World Centric Leaf fiber lid collection for hot and cold cups & bowls. Made from unbleached plant fiber, the new collection replaces the use of conventional, petroleum-based plastic lids to provide a truly 100% compostable solution for foodservice operators. World Centric is introducing the World Centric Leaf fiber lids at the 2020 International Restaurant & Foodservice Show of New York, with availability nationwide starting in March 2020 ... read more
|The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us.