Photoluminescence Quenching Simulator (PLQ-Sim
) is a user-friendly software to study the photoexcited state dynamics at the interface between two organic semiconductors forming a blend, an electron donor (D), and an electron acceptor (A). Its main function is to provide substantial information on the photophysical processes relevant to organic photovoltaic and photothermal devices, such as charge transfer state formation and subsequent free charge generation or exciton recombination.
The PL effect corresponds to the light emission from the radiative exciton recombination after photon absorption in the material. Depending on the material combination, PL can be quenched due to interfacial charge transfer processes.
If the excitation wavelength corresponds to donor’s main absorption band, the PL quenching efficiency of the donor excitonic luminescence (
If the excitation wavelength corresponds to acceptor’s main absorption band, the PL quenching efficiency of the acceptor excitonic luminescence (
The figure below illustrates PL measurements using a fluorimeter after selective excitation of the donor or acceptor.
The measurement of PL is a powerful tool to investigate photoluminescence quenching in D/A blends. However, the application of this experimental method does not allow to study the details of the processes that contribute to the quenching. Deep knowledge of the excited state dynamics at D/A interfaces by kinetic modeling is fundamental to tailoring the properties of the blend aiming at different applications.
Our research group developed a theory to calculate
Detailed instructions for using PLQ-Sim can be consulted in our published article:
PLQ−Sim: A Computational Tool for Simulating Photoluminescence Quenching Dynamics in Organic Donor/Acceptor Blends, Computer Physics Communications, 296, 2024, 109015.
The preprint of this article is available for download: here.
Earlier articles that form the basis for the current theory used in the program:
Kinetic model for photoluminescence quenching by selective excitation of D/A blends: implications for charge separation in fullerene and non-fullerene organic solar cells, J. Mater. Chem. C, 2020, 8, 8755-8769.
Conditions for efficient charge generation preceded by energy transfer process in non-fullerene organic solar cells, J. Mater. Chem. A, 2021, 9, 27568-27585.
High photothermal conversion efficiency for semiconducting polymer/fullerene nanoparticles and its correlation with photoluminescence quenching, Mater. Adv., 2023, 4, 486-503.
To perform the simulation, basic information about the materials must be provided as input parameters (like the energy levels, dielectric constant, reorganization energy, and singlet exciton lifetime, for instance). If some information of the analyzed system is missing, default values for the class of material studied can be used. After running the simulation, the rates of the physical processes involved in the charge dynamics at the D/A interface (like the charge transfer or charge recombination rates, for instance) are provided as output. This information is crucial to characterize the photophysical process as a whole and propose solutions for system optimizations.
The software binaries can be downloaded for the following operating systems: Unix-like systems (Linux), Windows and macOS.
PLQ-Sim
can also be used online on our website nanocalc.org.
Program interface:
Input example for PBDB-TF/ITIC blend:
Demonstration of part of the generated output for PBDB-TF/ITIC blend:
Energy−level representation and transfer rates for the electron dynamics calculated by PLQ-Sim.
Find out more about our research groups: DiNE and NAMOR.
- Leandro Benattoa,b
- Graziâni Candiottoa
- Omar Mesquitaa
- Lucimara S. Romanb
- Rodrigo B. Capaza,c
- Marlus Koehlerb
aInstitute of Physics, Federal University of Rio de Janeiro, 21941-909, Rio de Janeiro-RJ, Brazil.
UFRJ
bDepartment of Physics, Federal University of Paraná, 81531-980, Curitiba-PR, Brazil.
UFPR
cBrazilian Nanotechnology National Laboratory (LNNano), Brazilian Center for Research in Energy and Materials (CNPEM), 13083-100, Campinas- SP, Brazil.
LNNano
- The
data-sample
folder contains an example of the data set needed to runPLQ-Sim
.
You can download them here
The authors acknowledge financial support from LC-Nano/SisNANO 2.0 (grant 442591/2019−5), INCT − Carbon Nanomaterials, INCT − Materials Informatics, and INCT − NanoVIDA. L.B. (grant E−26/202.091/2022 process 277806), O.M. (grant E−26/200.729/2023 process 285493) and G.C. (grant E−26/200.627/2022 and E−26/210.391/2022 process 271814) are grateful for financial support from FAPERJ. The authors also acknowledge the computational support of Núcleo Avançado de Computação de Alto Desempenho (NACAD/COPPE/UFRJ), Sistema Nacional de Processamento de Alto Desempenho (SINAPAD), Centro Nacional de Processamento de Alto Desempenho em São Paulo (CENAPAD−SP), and technical support of SMMOL−solutions in functionalyzed materials.
If you use PLQ-Sim
, please indicate in your published work by citing:
- PLQ−Sim: A Computational Tool for Simulating Photoluminescence Quenching Dynamics in Organic Donor/Acceptor Blends, Comput. Phys. Commun., 296, 2024, 109015.
Papers that recently cited PLQ-Sim
software are shown below.