Tag: nuclear
Oil rally, gold resilient, bitcoin unloved
North Korean hackers walk away with nearly $400 million in crypto
North Korean Hackers Stole $400M Worth Crypto in 2021
North Korean Hackers Embezzled $400 Million In Cryptocurrency Last Year – Report
Cyberattacks from North Korea have increased substantially from 2020 to 2021, according to a report on Moneycontrol.com, The number of hacks originating from North Korea surged from four to seven, constituting an increase of 40%, says a report released on Thursday. 40% surge in the hacking incidents in one year The report revealed that the much-sanctioned
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Jack Dorsey’s Block To Democratize Bitcoin Mining With Open Source Mining System
How Bitcoin Will Transform Society’s Understanding Of Energy
Evergy Files Missouri Rate Review to Recover Costs to Modernize Grid, Improve Reliability and Enhance Customer Service
Ongoing savings from 2018 merger exceed projections, reduce the rate increase request by more than half. KANSAS CITY, Mo.–(BUSINESS WIRE)–Today Evergy submitted a detailed rate review to the Missouri Public Service Commission (MPSC). The requested rate adjustment reflects investments to improve reliability, enhance customer service and enable the company’s transition to cleaner energy resources. Missouri […]
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“This is How They Tell Me the World Ends”
The pace of fintech and Covid-fueled digitalization make Nicole Perlroth's tale of cyberattacks a vital read.
The post “This is How They Tell Me the World Ends” appeared first on Digital Finance.
Meet New AREA Member ASME
AREA: For our readers who aren’t familiar with ASME, could you tell us about its mission? Reilley: ASME is both a professional development society and a standards development organization. As a professional development society, we encourage and nurture engineering from K through 12, up through university and throughout engineers’ careers. We operate education programs, learning...
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Bringing The Power Of Cryptocurrency And Tokenization To Loans With Aaron Tilton, CEO Of SmartFi – The New Trust Economy
AR system shows nuclear reactor damage in real time
The system uses microscopy data to detect and quantify radiation-induced problems such as defects and swelling. The researchers hope the system could speed up the development of components for advanced nuclear reactors, which may play a critical role in reducing greenhouse gas emissions.
“We believe we are the first research team to ever demonstrate real-time image-based detection and quantification of radiation damage on the nanometre length scale in the world,” said Professor Kevin Field, a Michigan nuclear engineer and VP of machine vision start-up Theia Scientific.
The new technology was tested at the Michigan Ion Beam Laboratory. By directing beams of ions at material samples, the lab can quickly emulate the damage sustained after years or decades of use in a nuclear reactor. The team used an ion beam of the noble gas krypton to test a radiation-tolerant sample of iron, chromium, and aluminium of interest for use in fission and fusion reactors.
“If radiation exposure makes your metal like Swiss cheese instead of a good Wisconsin cheddar, you would know it’s not going to have structural integrity,” said Field.
The krypton ions create radiation defects in the sample; in this case, a plane of missing or extra atoms sandwiched between two ordinary crystal lattice planes. They appear as black dots in the electron microscope images. The lab is able to observe the development of these defects with an electron microscope, which runs during the irradiation process, producing a video.
“Previously, we would record the whole video for the irradiation experiments and then characterise just a few frames," said Dr Priyam Patki, who ran the experiment with Christopher Field, president of Theia Scientific. "But now, with the help of this technique, we are able to do it for each and every frame, giving us an insight into the dynamic behaviour of the defects in real time."
To assess radiation-induced defects, researchers would typically download the video and count every defect in selected frames. With the hundreds, or even thousands, of images or video frames created by modern microscopes, much of the detailed information would be lost, as counting the defects manually in every frame is so laborious.
Instead, the team used Theia Scientific's software to detect and quantify the radiation-induced defects instantaneously during the experiment. The software displays the results in graphics overlaid on the electron microscope imagery, which label the defects (giving size, number, location and density) and summarise this information as a measure of structural integrity.
“The real-time assessment of structural integrity allows us to stop early if a material is performing badly and cuts out any extensive human-based quantification,” said Field. “We believe that our process reduces the time from idea to conclusion by nearly 80 times.”
Theia’s software uses a convolutional neural network, a type of artificial neural network often used for interpreting images, to analyse the video frames. The neural network achieved high speed and robust interpretation across samples of varying quality, and this in turn enabled the leap from manual interpretation to real-time machine vision.
It is hoped that the interpretation technique could be adapted for other types of image-based microscopy. Field commented: “We see clear pathways to accelerate discoveries in the energy, transportation and biomedical sectors.”