Predictions of some solid-state properties, such as charge mobility, require multiscale simulations. A multiscale simulation involves several different levels of theory with different accuracies and achievable simulation timescales, including:
Quantum mechanical approaches
Classical molecular dynamics
Kinetic Monte Carlo simulations
We aim at developing reliable multiscale computational protocols for solid-state properties predictions.
Predictions of glass transition temperature
Glass transition temperature prediction of disordered molecular solids
Kun-Han Lin*, Leanne Paterson, Falk May, Denis Andrienko*
npj Computational Materials 2021, 7, 1-7
Predictions of charge mobility and solid-state IE and EA
Molecular library of OLED host materials—Evaluating the multiscale simulation workflow
Anirban Mondal, Leanne Paterson, Jaeyoung Cho, Kun-Han Lin, Bas van der Zee, Gert-Jan AH Wetzelaer, Andrei Stankevych, Alexander Vakhnin, Jang-Joo Kim, Andrey Kadashchuk, Paul WM Blom, Falk May, Denis Andrienko
Chemical Physics Reviews 2021, 2, 031304
The understanding of structure-packing-property relations (SPPR) provides us insights into material/molecular design and film-processing control. In many cases, these relations are sophisticated and not accessible via experimental approaches. In this context, computations can be extremely useful for revealing the SPPR of the target system.
Multiarm and substituent effects on hole mobility
Multiarm and Substituent Effects on Charge Transport of Organic Hole Transport Materials
Kun-Han Lin, Antonio Prlj, Liang Yao, Nikita Drigo, Han-Hee Cho, Mohammad Khaja Nazeeruddin, Kevin Sivula, Clémence Corminboeuf
Chemistry of Materials 2019, 31, 6605-6614
Alkyl chain length effect on hole mobility
How does alkyl chain length modify the properties of triphenylamine-based hole transport materials?
Kun-Han Lin, Antonio Prlj, Clémence Corminboeuf
Journal of Materials Chemistry C 2018, 6, 960-965
Hexyl chain and heteroatoms effects on hole mobility
A Rising Star: Truxene as a Promising Hole Transport Material in Perovskite Solar Cells
Kun-Han Lin, Antonio Prlj, Clémence Corminboeuf
The Journal of Physical Chemistry C 2017, 121, 21729-21739
Tailoring molecules for target applications is similar to combining the "just right" molecular LEGO bricks using the "just right" way. In fact, the popular donor-acceptor (D-A) approach, mainly used for tuning frontier orbitals and optical properties, is one successful example demonstrating the usefulness of this concept. We would like to generalize this concept and use it for properties other than optical gaps. Recently, we developed FB-REDA and FB-ECDA for evaluating contributions from molecular building blocks to reorganization energy and electronic coupling, respectively.
Evaluation of fragment-contributions to electronic coupling
FB-ECDA: Fragment-based Electronic Coupling Decomposition Analysis for Organic Amorphous Semiconductors
Kun-Han Lin, Clémence Corminboeuf
The Journal of Physical Chemistry A 2020, 124, 10624-10634
Evaluation of fragment-contributions to reorganization energy
FB-REDA: fragment-based decomposition analysis of the reorganization energy for organic semiconductors
Kun-Han Lin, Clémence Corminboeuf
Physical Chemistry Chemical Physics 2020, 22, 11881-11890
Computational screening is probably the best way to fully exploit the power of versatile organic synthesis. By filtering out compounds that are far from the "sweet spot" in the target-properties space, we can put the organic synthesis efforts on a small number of promising candidates. Therefore, developing automatic and efficient computational workflows can definitely accelerate the discovery of novel compounds. We developed workflows for the screening of TADF emitters for single-layer OLEDs and NFA for organic solar cells.
TADF emitters for single-layer OLEDs
Virtual Screening of TADF Emitters for Single-Layer OLEDs
Kun-Han Lin*, Gert-Jan A. H. Wetzelaer, Paul W. M. Blom and Denis Andrienko*
Frontier in Chemistry 2021, 9, 1080