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High School Student Uses FAST Data to Program Diffraction Spot Characterization

Connor has also been co-mentored by Dr. Eric Miller at Tufts University, who connected him with CHESS for a one-of-a-kind, machine-learning and data science project opportunity. Shanks and Miller have worked together for 2 years on a project funded by the Office of Naval Research, focused on augmenting CHESS capabilities via machine learning and data science tools.

Using data collected at FAST, Connor has been developing a diffraction-spot characterization code, for which he has received a number of accolades at science and math fairs including:

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Researchers control metal microstructure for better 3D printing

Cornell researchers have uncovered a way to control these transformations in metal solidification by adjusting alloy composition, ultimately leading to stronger, more reliable metal parts.

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Timing is everything: Time-resolved experiments add niche offering at CHESS

CHESS has integrated a new operating mode that empowers researchers to capture processes on the nanosecond to microsecond timescale using 100 picosecond pulses of X-rays. At this scale, researchers can investigate swift processes in their experiments, such as crack formations racing across a material or proteins folding and unfolding – minute actions occurring in the blink of an eye.

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X-rays reveal microstructural fingerprints of 3D-printed alloy

The group’s paper, “Dendritic Deformation Modes in Additive Manufacturing Revealed by Operando X-Ray Diffraction,” published Oct. 10 in Nature Communications Materials. The lead author is doctoral student Adrita Dass, M.S. ’20.

Doctoral students Adrita Dass (left) and Chenxi Tian, and Atieh Moridi, assistant professor in the Sibley School of Mechanical and Aerospace Engineering, created a portable twin of their 3D-printing setup.

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Using real-time data analysis to conduct next-generation synchrotron fatigue studies

What is the discovery?

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The influence of Alloying on slip intermittency and the implications for dwell fatigue in titanium

The high precision of HEDM measurements at FAST offer new insight into the microscopic processes that cause dwell fatigue, pointing toward new alloying strategies for mitigation.
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Turning Heroic Efforts Into Everyday Experiments

The challenge now is to efficiently use these expensive techniques - and the enormous datasets they produce - to better understand existing problems and gain insight into new phenomena that have been previously unreachable.

CHESS has been at the heart of this explosive growth, and will now develop new, efficient experimental and data processing protocols for using these techniques. 

"Drowning in Data"

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Analysis of a three-dimensional slip field in a hexagonal Ti alloy from in-situ high-energy X-ray diffraction microscopy data

What is the discovery?

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Grain-scale deformation of a high entropy alloy using synchrotron high energy diffraction microscopy

What is the discovery?

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