# Data from: "Autonomous synthesis of metastable materials"



To extract the file, untar with tar -zxvf *.tar.gz





## Microscopy Images



The subdirectory `Bi2O3/Images` contains the microscopy images of 617 lg-LSA processed stripes in a bmp format.

The filenames b+X_Y_+D_+T.bmp reflect the

X = x-coordinates in mm on the substrate

Y = y-coordinates in mm on the substrate

D = dwell time in mus

T = peak temperature in C





## Reflectance spectroscopy



The subdirectory `Bi2O3/Reflectance` contains the reflectance data of 617 lg-LSA processed stripes in a csv format. Each file contains a header with the relevant meta data.

The filenames s+X_Y_+D_+T.csv reflect the

X = x-coordinates in mm on the substrate

Y = y-coordinates in mm on the substrate

D = dwell time in mus

T = peak temperature in C



Filenames mirror_*.csv and blank_*.csv correspond to reflectance data collected from a perfectly reflecting mirror and without illumination, respectively.





## References



Data collected by:

Michael Thompson

Dwight C. Baum Professor in Engineering

Materials Science and Engineering

Bard Hall, Room 328

607/255-4714

College of Engineering

mot1@cornell.edu



Corresponding authors:

Maximilian Amsler

Materials Science and Engineering

amsler.max@gmail.com

Michael Thompson
Materials Science and Engineering
mot1@cornell.edu




Released on:

7/24/2021



Collected at:

Cornell University, Ithaca NY



Keywords:

Laser spike annealing, Bi2O3



Language:

English



If using this work for a publication, please cite:

"Autonomous synthesis of metastable materials", Sebastian Ament, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover, arXiv:2101.07385

AND

Ament, Sebastian, Maximilian Amsler, Duncan R. Sutherland, Ming-Chiang Chang, Dan Guevarra, Aine B. Connolly, John M. Gregoire, Michael O. Thompson, Carla P. Gomes, R. Bruce van Dover (2021). Data from: "Autonomous synthesis of metastable materials" [Dataset] Cornell University eCommons Repository. https://doi.org/10.7298/h63q-9r54





## License

Data distributed under the Open Data Commons Attribution License (ODC-By; https://opendatacommons.org/licenses/by/1-0/). Users may share, use, or modify this data, but attribution to the original authors is required.



## Acknowledgements
The authors acknowledge the Air Force Office of Scientific Research for support under award FA9550-18-1-0136. This work is based upon research conducted at the Materials Solutions Network at CHESS (MSN-C) which is supported by the Air Force Research Laboratory under award FA8650-19-2-5220, and the National Science Foundation Expeditions under award CCF-1522054. This work was also performed in part at the Cornell NanoScale Facility, a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the National Science Foundation (Grant NNCI-2025233). MA acknowledges support from the Swiss National Science Foundation (project P4P4P2-180669). This research was conducted with support from the Cornell University Center for Advanced Computing.


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