CMSP Seminar (Atomistic Simulation Webinar Series): 16 March at 11:00, Dr Martina Stella
CMSP Seminars Secretariat
OnlineCMSP at ictp.it
Mon Mar 14 10:03:20 CET 2022
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Atomistic Simulation Webinar Series
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WEBINAR_
via Zoom
** * * Wednesday, 16 March 2022 at 11:00*** * **
Speaker:*Dr. Martina Stella *(ICTP )
Title:***Towards a systematic multi-scale method for excitations in
molecular materials in the BigDFT code
*
Register in advance at:
https://zoom.us/meeting/register/tJYsc-6vqjIvE93WmBUS1eReomlWFjskhyvv
After registering, you will receive a confirmation email containing
information about joining the seminar.
_Abstract_:
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.
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CMSP Seminars support:OnlineCMSP at ictp.it
CMSP, Condensed Matter & Statistical Physics Section
http://www.ictp.it/research/cmsp.aspx
The Abdus Salam International Centre for Theoretical Physics
https://www.ictp.it/
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