Scientists propose machine learning method for 2-D material
spectroscopy

19th November 2020by admin0

Machine learning is an important branch in the field
of artificial intelligence. Its basic idea is to build a
statistical model based on data and use the model to analyze and
predict the data. With the rapid development of big data
technology, data-driven machine learning algorithms have begun to
flourish in various fields of materials research.

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      New Fusion

      The New Fusion technology is based on a phenomenon called triplet-triplet annihilation (TTA) which is a process in which two triplet excitons annihilate and produce a higher energy singlet exciton.

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