Starts 16 Mar 2022 11:00
Ends 16 Mar 2022 12:00
Central European Time
via Zoom

Martina Stella


Understanding excited states and their relaxation plays a critical role in spectroscopy as well as in improving the performance of technological devices. For instance, being able to predict where excited states lie for molecules embedded in crystals can be crucial for guiding experimentalists in locating excitation sources. From a technological perspective an interesting example is thermally activated delayed fluorescence (TADF). It represents a promising mechanism for designing the next generation of OLED (Organic Light Emitting Diodes) materials being fully organic and less environmental harmful than previous generation.

TADF emission is based on inverse inter-system crossing from triplet state to singlet states. These excitations have shown to exhibit an intricate mixture of charge-transfer and local nature. Modelling TADF (e.g to identify the best performing material) as well as locating excited states, thus, requires a methodology able to provide high accuracy while explicitly including environmental effects. However, developing a versatile theoretical approach for the characterisation of excitations can be challenging due to the complexity of the methods available and the variety of sources of error associated with them.

We are developing a multi-scale approach within the BigDFT code where we combine the needed accuracy with the ability of treating big systems, which would allow one to go beyond implicit models. BigDFT is designed to run on parallel architectures and can treat large systems while ensuring high, controllable precision. 

As a first step towards a robust methodology, we assess the performance of a novel promising constrained-DFT (T-CDFT) approach we recently developed while I was at Imperial College London and compare the results with standard methods (e.g. TDDFT) and simulation conditions. Such investigation is conducted on a diverse set of molecules (e.g. TADFs, acenes) in order to cover various classes of excitations. This phase is carried out by also developing portable jupyter-notebooks for the analysis of excitations. 

1) Daubechies wavelets for linear scaling density functional theory,S Mohr, LE Ratcliff, P Boulanger, L Genovese - The Journal of chemical physics, 2014, 2)Fragment approach to constrained density functional theory calculations using Daubechies wavelets, LE Ratcliff, L Genovese, S Mohr, T Deutsch - The Journal of chemical physics, 2015,  3)Transition-based Constrained DFT for the robust and reliable treatment of excitations in molecular systems, M Stell, K Thapa, L Genovese and LE Ratcliff, JCTC, submitted , 2021.