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Structural disorder key to high-capacitance carbon electrodes – Chemistry World

Structural disorder increases the capacitance of carbon supercapacitor electrodes, according to new findings from a team of UK-based researchers. The discovery could lead to the development of supercapacitors that can store more charge.

Supercapacitors generally comprise porous electrodes soaked in an electrolyte. The most common and cheapest electrodes are made of activated carbon, which is itself composed of graphene-like sheets that form a porous network containing a range of pore sizes. When the electrode is charged, ions of opposite charge from the electrolyte are reversibly adsorbed into the pores and ions of like charge are expelled.

However, the factors governing the capacitance of a carbon supercapacitor electrode have remained unclear. Some research has suggested it increases as pore size shrinks, but more recent research has contradicted this. ‘These porous carbon electrodes are really hard to characterise because they have inherently non-crystalline structures,’ says materials chemist Alexander Forse from the University of Cambridge.

In 2013, as part of his PhD in Clare Grey’s group at Cambridge, Forse performed solid-state NMR on electrodes soaked with electrolytes. When the electrodes were prepared at lower temperatures, the adsorbed species showed lower chemical shifts. This showed that their nanoporous structures were chemically more disordered. ‘In this more recent study, Clare and I teamed up again to see “Is there a connection between this more disordered structure and the amount of energy you can store?”’ says Forse, now an assistant professor himself.

Pore size vs disorder

Researchers in Forse’s group led by his PhD student Xinyu Liu tested ten commercial nanoporous carbon electrodes from different suppliers in the standard commercial electrolyte tetraethylammonium tetrafluoroborate in acetonitrile. Five had very similar distributions of pore sizes, but their capacitance varied dramatically. When the researchers looked at the solid-state NMR spectra, they found that, when the chemical shift of the adsorbed species went down, the capacitance of the electrode went up. This was true irrespective of the adsorbed species, suggesting it was a property of the electrodes.

Structural disorder

The researchers then annealed their most disordered carbon sample at a range of temperatures. They found that, the higher the annealing temperature, the higher the final chemical shifts and the lower the capacitance. The researchers are now working to understand the physical origin of the phenomenon. ‘We have evidence for the correlation but we can’t really say why a more disordered electrode is actually better,’ says Forse. They suspect it may be because increased localisation of charge at defects increases a surface’s local interaction with ions. The researchers then hope to use their discovery to design even higher-capacity electrodes.

Materials chemist Yury Gogotsi from Drexel University in Pennsylvania, US, says that researchers in his lab recognised an influence of disorder ‘over a dozen years ago’ when they were disappointed to find that high-temperature experiments that increased the specific surface area of carbide-derived carbon electrodes reduced their capacitance. However, he notes that until now there has been no real way to correlate disorder to capacitance and that the link with chemical shift shown in the NMR experiments is ‘a really important finding and the key to evaluating materials quantitatively’.

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Artificial Intelligence Convolutional Neural Network for Efficient and Accurate CT-based Stone Volume Determination “Presentation” – UroToday

Andrei Cumpanas presented a study on using an AI convolutional neural network to accurately determine CT-based stone volume, showing that the AI algorithm outperformed traditional ellipsoid formulas in accuracy and precision, especially for larger stones with irregular shapes.

Biographies:

Andrei D. Cumpanas, MD, Researcher, Department of Urology, The University of California, Irvine, CA

Read the Full Video Transcript

Andrei D. Cumpanas: Dear viewers, my name is Andrei Cumpanas. I’m a lead research scholar here at University of California, Irvine’s Department of Urology. And today, I’ll be presenting the results of our study, Artificial Intelligence Convolutional Neural Network for Efficient and Accurate CT-Based Stone Volume Determination.

Given the irregular shape of most renal stones, linear measurements, alone, or as part of an ellipsoid formula, fail to accurately depict the true stone burden. As such, we sought to train an AI algorithm to assess CT-based stone volume and compare its accuracy to the three best-fit ellipsoid formula estimations.

CT scan volume was determined by the UCI AI algorithm as well as by using the three best-fit ellipsoid formulas. These values were compared to the ground truth 3D stone volume as determined by using 3D Slicer.

The UCI AI algorithm was accurate and precise for determining stone volume. Moreover, the AI outperformed the three ellipsoid formulas. Also, the algorithm’s accuracy and precision improved when measuring the larger stones, as larger stones tended to have more irregular shapes.

In conclusion, the UCI Urology AI algorithm determined the renal stone volumes in an accurate and precise way. It outperformed all three ellipsoid formulas. Thank you.

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Boeing’s Starliner finally ready for first crewed mission – DAWN.com

CAPE CANAVERAL: Launch day is finally here: Boeing’s Starliner capsule blasts off on Monday to the International Space Station on its first crewed mission — several years after SpaceX first achieved the same milestone.

The flight, a final test before Starliner takes up regular service for Nasa, is critical for the US aerospace giant, whose reputation has suffered of late due to safety issues with some of its passenger jets.

Starliner, which was first ordered a decade ago by the US space agency, has had a bumpy ride to the finish line, with surprise setbacks and multiple delays — a saga Boeing is eager to complete.

Astronauts Butch Wilmore and Suni Williams are set to leave Cape Canaveral at 10:34pm on Monday aboard the capsule. Starliner will be propelled into orbit by an Atlas V rocket made by United Launch Alliance, a Boeing-Lockheed Martin joint venture. Wilmore and Williams, Navy-trained space programme veterans, have each been to the ISS twice, traveling once on a shuttle and then aboard a Russian Soyuz vessel.

“It’s going to be like going back home,” Williams said. As for the Boeing spacecraft, Wilmore said: “Everything is new. Everything’s unique.” “I don’t think either one of us ever dreamed that we’d be associated with the first flight of a brand new spacecraft.”

For Nasa, the stakes are also high: Having a second option for human space flight in addition to SpaceX’s Dragon vehicles is “really important,” said Dana Weigel, manager of the agency’s Internatio­nal Space Station programme.

Published in Dawn, May 5th, 2024

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Two Cases of Distant Metastasis After Mastectomy for Breast Ductal Carcinoma In Situ – Cureus

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