134 citations · 574 across the 19 of their papers we have counts for
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Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
Zaixi Zhang, Qi Liu, Shengyu Zhang +3
The search for new high-performance organic semiconducting molecules is challenging due to the vastness of the chemical space, machine learning methods, particularly deep learning…
Deep Learning for Optoelectronic Properties of Organic Semiconductors
Chengqiang Lu, Qi Liu, Qiming Sun +4
Atomistic modeling of energetic disorder in organic semiconductors (OSCs) and its effects on the optoelectronic properties of OSCs requires a large number of excited-state electron…
A Model of Charge Transfer Excitons: Diffusion, Spin Dynamics, and Magnetic Field Effects
Chee Kong Lee, Liang Shi, Adam P. Willard
In this letter we explore how the microscopic dynamics of charge transfer (CT) excitons are influenced by the presence of an external magnetic field in disordered molecular semicon…
Excitonic energy transfer in light-harvesting complexes in purple bacteria
Jun Ye, Kewei Sun, Yang Zhao +3
Two distinct approaches, the Frenkel-Dirac time-dependent variation and the Haken-Strobl model, are adopted to study energy transfer dynamics in single-ring and double-ring light-h…