Autonomous materials development using in situ laser annealing and scan-probe, grazing incident x-ray microdiffraction.

The experiment employed an AI-driven, fully autonomous infrastructure controlled  across campus from CHESS to direct the synthesis and characterization in combinatorial thin-film material processing. Using high-throughput, closed-loop robotics, new materials were synthesized through laser-annealing, analyzed with x-ray diffraction, and the resulting data was fed into a machine-learning model to propose the next best experiment.  

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MSN-C

Asking Good Questions - Outreach workshop leads to Critical Thinking

The Graduate Student School Outreach Program, GRASSHOPR, pairs Cornell graduate students with teachers across neighboring counties.  The students visit the schools and teach courses on topics related to their fields of interest.  The K-12 students are able to experience new mentors that are eager to share their knowledge, while the graduate students and teachers benefit from exchanging ideas as they dev

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outreach
CHEXS

Beamlines in Focus: FMB

Functional materials, like semiconductors, polymers, and nanoparticles, are materials that have interesting non-mechanical properties. The definition of a functional material is usually used as a distinction from a structural material, which refers to load-bearing materials.

Beamlines in Focus - FAST

The FAST beamline focuses on high energy monochromatic techniques in diffraction and imaging. These techniques are applied to in situ sample environments in order to investigate the microstructure of materials while they are being mechanically loaded, thermally cycled, and/or being processed or built up (as in 3D printing).

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