Nathan J. Szymanski

According to our database1, Nathan J. Szymanski authored at least 2 papers between 2021 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
A universal synthetic dataset for machine learning on spectroscopic data.
CoRR, 2022

2021
A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra.
CoRR, 2021


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