单重态
芯(光纤)
化学
材料科学
物理
量子力学
复合材料
激发态
作者
Leandro Benatto,Marlus Koehler,Rodrigo B. Capaz,Graziâni Candiotto
摘要
Recent advances in data-driven machine learning have highlighted the critical importance of the singlet-triplet gap (ΔE ST =E S1 -E T1 ) in non-fullerene acceptors (NFAs) molecules as an useful figure of merit to predict the...
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