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Researchers have used machine learning to crack the code governing charge transfer and color emission in chains of molecules, with applications in data storage, security inks, organic light-emitting diodes (OLEDs), and solar energy.
Researchers have used machine learning to crack the code governing charge transfer and color emission in chains of molecules, with applications in data storage, security inks, organic light-emitting diodes (OLEDs), and solar energy.