Kasha’s rule, which claimed that all emissions of excitons are from the lowest excited state and independent of excitation energy, makes the utility of high energy excitons difficult and severely hinder the widespread application of organic photoluminescent materials in real-world. For decades, scientists try to break it to unleash the power of high energy excitons but get minimal progress, no rational guiding principles, and few applications. So far, anti-Kasha’s rule is still a purely academic concept. In this contribution, we proposed a designing principle for pure organic anti-Kasha’s rule system and synthesized a series of compounds by following this designing rule which are all display evident S 2 emission in dilute solutions as proposed. Besides, we introduced a convolutional neural network as an assistant to apply the anti-Kasha’s rule luminogens to cell differentiations with high accuracy (~98.3%), which provide a new direction of applications of anti-Kasha system.
National Natural Science Foundation 51903052
Shanghai Pujiang Project 19PJ1400700
Zhejiang Provincial Natural Science Foundation of China LR17F050001
the National Science Foundation of China 21788102, 21805002, 61735016, 61975172
Research Grants Council of Hong Kong 16305518, N-HKUST609/19, A-HKUST605/16, C6009-17G
Innovation and Technology Commission, ITC-CNERC14SC01, ITCPD/17-9
Science and Technology Plan of Shenzhen, JCY20180507183832744
InstitutionHong Kong University of Science and Technology
ORCID For Submitting Author0000-0001-7592-7132
Declaration of Conflict of InterestThere's no conflict of interests to be declare.
Version NotesFirst commit.