EDS/EBSD Workshop with Gatan/EDAX-Apr. 11

EDS/EBSD Workshop with Gatan/EDAX

Date: Thursday, April 11, 2024
Time: 10:30 a.m. – 4:30 p.m. ET
Location: 12-0168 (MIT.nano basement)
Lunch will be provided to registered participants, sponsored by Gatan/EDAX

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10:30 AM – 11:30 AM: Quantifying lithium in the SEM using Cipher (EDS/qBSE)
Shangshang Mu, Application Scientist
In recent years, Lithium- (Li-) based products have gained significant market acceptance in a diverse range of energy storage applications, owing to their superior capacity and lighter mass. However, there remains considerable potential for enhancing the capacity and efficiency of these energy storage materials by optimizing the elemental composition and structural properties. Specifically, due to the lack of suitable characterization techniques at the micro and nano scales, the degradation mechanisms and structural evolution have not yet been sufficiently studied. 
The in-person workshop will introduce the EDS and quantitative backscattered imaging. New technology with the potential to revolutionize research on Li-ion batteries and Li alloys, Cipher, will be presented, demonstrating the ability to quantitatively map the distribution of Li at the microscopic level across a diverse variety of materials. The advent of this innovative characterization method is expected to play a crucial role in advancing Li materials research.

11:30 AM – 12:15 PM: The Future of EBSD Indexing Methods: Spherical Indexing and its Applications
Shawn Wallace, Application Scientist
Traditional EBSD indexing methods use the Hough transform, which has been used since essentially the beginning of the automation of EBSD. The Hough Transform was originally used due to its scalability (up and down) computationally to allow for live indexing of patterns. This scalability was due to how the Hough Transform reduces the data used down to levels the CPU could run in a reasonable time. This method ignored a lot of potentially useful information in the patterns. New forward model indexing techniques have recently become available, allowing for improved EBSD indexing performance by comparing experimental EBSD patterns with simulated patterns to find the best match.  One implementation of this approach is termed spherical indexing, which can use modern GPU to provide an improved index at rates over 10,000 points per second. This talk with discuss how SI works and how it opens up the application space to address questions researchers could previously not.
12:15PM-1:00PM: Lunch (sponsored by Gatan/EDAX)
1-4:30 pm: EBSD data indexing demonstration and Q/A

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