Authors: George Rajna
In a new study from the U.S. Department of Energy's (DOE) Argonne National Laboratory, researchers used the power of artificial intelligence and high-performance supercomputers to introduce and assess the impact of different configurations of defects on the performance of a superconductor.  Using machine-learning and an integrated photonic chip, researchers from INRS (Canada) and the University of Sussex (UK) can now customize the properties of broadband light sources. 
Comments: 55 Pages.
[v1] 2019-05-24 12:57:16
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