Towards the Computational Design of Highly Emissive Organic-Single Crystals
Lead Research Organisation:
Queen Mary University of London
Department Name: Sch of Biological and Chemical Sciences
Abstract
Summary
Light emitting materials find applications in display technologies, optical communication, data storage, biological sensing and solid-state lasing. Organic conjugate molecular systems represent versatile blocks for the development of cheap and flexible functional materials. In particular, their single crystals (OSCs) can exhibit favourable properties with respect to their amorphous counterparts such as better thermal and photochemical stabilities, large refractive indexes, highly polarised emission, and enhanced charge-carrier mobility. However, their emissive properties are severely affected by nonradiative mechanisms facilitating a fast conversion to the ground state. These mechanisms include aggregation-induced quenching, intersystem crossing and internal conversion. New strategies for the design of highly emissive OSCs should provide routes to minimise deactivation through these pathways.
The development of fluorophores with an enhanced emissive response in the solid state has become a very active area of research. Fluorophores displaying excited state intramolecular proton transfer have shown promising properties as solid-state lasers (ESIPT-OCSs). But in order to achieve a rational design of these materials, a fundamental understanding of the underlying phenomena at the molecular and crystal levels is required. Computational modelling can aid materials design proposing candidate structures with tailored properties.
Predictive models for emissive materials should include the effect of nonadiabatic and excitonic effects. Despite their potential applications, there is a lack of general computational tools to study phenomena at the interface between molecular photochemistry and material sciences. The primary goal of this research programme is to develop computational chemistry strategies towards the design of efficient emissive OCSs. We will achieve this by developing a systematic investigation of nonradiative mechanisms in model ESIPT-OCSs materials and producing new software for the exploration of excited states and nonadiabatic phenomena in the crystal environment considering electrostatic embedding techniques. The codes will be made freely available to the community through open access repositories.
Mechanisms for aggregation induced phenomena in the solid-state will be investigated with a focus on establishing structural features enhancing the emissive response. The role of intramolecular (substituents, geometry) and intermolecular (weak interactions and crystal packing) factors affecting the nonradiative deactivation pathways will be considered. Based on this new knowledge and assisted by the computational tools, candidates for highly emissive materials will be proposed and tested by our experimental collaborators, providing feedback to examine our predictions. In the longer term, all these strategies will open up new possibilities in the design of OCSs materials with tailored properties.
Light emitting materials find applications in display technologies, optical communication, data storage, biological sensing and solid-state lasing. Organic conjugate molecular systems represent versatile blocks for the development of cheap and flexible functional materials. In particular, their single crystals (OSCs) can exhibit favourable properties with respect to their amorphous counterparts such as better thermal and photochemical stabilities, large refractive indexes, highly polarised emission, and enhanced charge-carrier mobility. However, their emissive properties are severely affected by nonradiative mechanisms facilitating a fast conversion to the ground state. These mechanisms include aggregation-induced quenching, intersystem crossing and internal conversion. New strategies for the design of highly emissive OSCs should provide routes to minimise deactivation through these pathways.
The development of fluorophores with an enhanced emissive response in the solid state has become a very active area of research. Fluorophores displaying excited state intramolecular proton transfer have shown promising properties as solid-state lasers (ESIPT-OCSs). But in order to achieve a rational design of these materials, a fundamental understanding of the underlying phenomena at the molecular and crystal levels is required. Computational modelling can aid materials design proposing candidate structures with tailored properties.
Predictive models for emissive materials should include the effect of nonadiabatic and excitonic effects. Despite their potential applications, there is a lack of general computational tools to study phenomena at the interface between molecular photochemistry and material sciences. The primary goal of this research programme is to develop computational chemistry strategies towards the design of efficient emissive OCSs. We will achieve this by developing a systematic investigation of nonradiative mechanisms in model ESIPT-OCSs materials and producing new software for the exploration of excited states and nonadiabatic phenomena in the crystal environment considering electrostatic embedding techniques. The codes will be made freely available to the community through open access repositories.
Mechanisms for aggregation induced phenomena in the solid-state will be investigated with a focus on establishing structural features enhancing the emissive response. The role of intramolecular (substituents, geometry) and intermolecular (weak interactions and crystal packing) factors affecting the nonradiative deactivation pathways will be considered. Based on this new knowledge and assisted by the computational tools, candidates for highly emissive materials will be proposed and tested by our experimental collaborators, providing feedback to examine our predictions. In the longer term, all these strategies will open up new possibilities in the design of OCSs materials with tailored properties.
Planned Impact
Impact Summary
The proposed research develops strategies for the computational design of organic materials with a high emissive response. We will create fundamental knowledge of the phenomena associated with their light response. This research will benefit scientists working in several areas such as computational chemistry, organic chemistry, functional and photonic materials.
Economic Impact
While this programme will create fundamental understanding, computational design of materials with tailored properties can have a major impact on technological applications such as display technologies, optical communication, data storage, biological sensing and solid-state lasing. Our collaborations with two experimental groups will allow testing our computational principles and engaging with industry. A broad strategy of publishing and dissemination will be implemented to enhance the visibility of our research.
It has been recognised by the EPSRC that computational modelling plays an increasingly important role in the development of the Physical sciences. The UK's prosperity depends on not only applying computational techniques but also on the development of new computational methods. Through this research program, we will implement software to investigate complex phenomena in the crystal environment with applications in the computational design of organic materials from first principles. These codes will be freely distributed among the scientific community which will maximise their usability and impact.
Societal Impact
Research and training in the area of computational chemistry can impact in several areas of Physical sciences and Engineering. The immediate social impact of the proposed research is the training of a highly skilled researcher (PRDA), who will benefit from the rich multidisciplinary environment at QMUL and all the available facilities. The PDRA will acquire a unique set of skills that will improve their employability. Programming skills and expertise in the high-performance computing are greatly valued in the work market within and beyond academic professions. The PDRA will also contribute to the supervision of postgraduate and undergraduate students working in the research group. Thus, the PhD and master students will also receive training and contribute to the knowledge creation. The PI, who is an early career researcher, will also take advantages of the leadership opportunities generated from the proposed grant.
We will engage with the general public promoting public discussions on the role of modelling in technology and daily life through forums and seminars facilitated by the Centre for Public Engagement at QMUL. Videos and simplified models will be used to explain the principles underlying material discovery in plain language. Social media platforms will be exploited to broadcast our findings and reach the general public.
The proposed research develops strategies for the computational design of organic materials with a high emissive response. We will create fundamental knowledge of the phenomena associated with their light response. This research will benefit scientists working in several areas such as computational chemistry, organic chemistry, functional and photonic materials.
Economic Impact
While this programme will create fundamental understanding, computational design of materials with tailored properties can have a major impact on technological applications such as display technologies, optical communication, data storage, biological sensing and solid-state lasing. Our collaborations with two experimental groups will allow testing our computational principles and engaging with industry. A broad strategy of publishing and dissemination will be implemented to enhance the visibility of our research.
It has been recognised by the EPSRC that computational modelling plays an increasingly important role in the development of the Physical sciences. The UK's prosperity depends on not only applying computational techniques but also on the development of new computational methods. Through this research program, we will implement software to investigate complex phenomena in the crystal environment with applications in the computational design of organic materials from first principles. These codes will be freely distributed among the scientific community which will maximise their usability and impact.
Societal Impact
Research and training in the area of computational chemistry can impact in several areas of Physical sciences and Engineering. The immediate social impact of the proposed research is the training of a highly skilled researcher (PRDA), who will benefit from the rich multidisciplinary environment at QMUL and all the available facilities. The PDRA will acquire a unique set of skills that will improve their employability. Programming skills and expertise in the high-performance computing are greatly valued in the work market within and beyond academic professions. The PDRA will also contribute to the supervision of postgraduate and undergraduate students working in the research group. Thus, the PhD and master students will also receive training and contribute to the knowledge creation. The PI, who is an early career researcher, will also take advantages of the leadership opportunities generated from the proposed grant.
We will engage with the general public promoting public discussions on the role of modelling in technology and daily life through forums and seminars facilitated by the Centre for Public Engagement at QMUL. Videos and simplified models will be used to explain the principles underlying material discovery in plain language. Social media platforms will be exploited to broadcast our findings and reach the general public.
Publications

Aziz A
(2022)
Understanding the solid state luminescence and piezochromic properties in polymorphs of an anthracene derivative.
in Physical chemistry chemical physics : PCCP


Barbatti M
(2022)
Newton-X Platform: New Software Developments for Surface Hopping and Nuclear Ensembles.
in Journal of chemical theory and computation

Cirulli M
(2021)
Rotaxane Co II Complexes as Field-Induced Single-Ion Magnets
in Angewandte Chemie

Cirulli M
(2021)
Rotaxane CoII Complexes as Field-Induced Single-Ion Magnets

Cirulli M
(2021)
Rotaxane Co II Complexes as Field-Induced Single-Ion Magnets
in Angewandte Chemie International Edition



Description | As a result of the work, we have achieved a better understanding of Aggregation Induced Emission in the solid state. A new code was implemented to be used to understand excited states in molecular crystals, this code is open source and available on github (https://github.com/Crespo-Otero-group/fromage). |
Exploitation Route | Fromage is open source available on github (https://github.com/Crespo-Otero-group/fromage). |
Sectors | Chemicals Digital/Communication/Information Technologies (including Software) Education Electronics Energy |
URL | https://crespootero.wordpress.com/ |
Description | We are collaborating with several experimental groups to validate and apply our findings. We have co-authored several papers with our experimental colleagues, exploring the excited state mechanisms discovered within our group and the applications of the corresponding organic materials. |
First Year Of Impact | 2020 |
Sector | Chemicals,Electronics,Energy |
Impact Types | Societal |
Description | Understanding the effect of aggregation in light-emitting organic crystals |
Amount | £230,791 (GBP) |
Funding ID | RPG-2019-122 |
Organisation | The Leverhulme Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2020 |
End | 10/2023 |
Title | Fromage: FRamewOrk for Molecular AGgregate Excitations |
Description | Fromage is a Python framework designed to facilitate the study of molecular aggregates in the excited state. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | These two publications report the methods and the implementation: - https://pubs.acs.org/doi/10.1021/acs.jctc.8b01180 - https://onlinelibrary.wiley.com/doi/10.1002/jcc.26144 These tools have been additionally used in the following publications: -https://onlinelibrary.wiley.com/doi/full/10.1002/cptc.201900075 - https://pubs.rsc.org/en/content/articlelanding/2020/tc/c9tc05717j/unauth#!divAbstract |
URL | https://github.com/Crespo-Otero-group/fromage |
Title | CCDC 1949875: Experimental Crystal Structure Determination |
Description | Related Article: Jiawang Zhou, Ljiljana Stojanovic, Andrey A. Berezin, Tommaso Battisti, Abigail Gill, Benson M. Kariuki, Davide Bonifazi, Rachel Crespo-Otero, Michael R. Wasielewski, Yi-Lin Wu|2021|Chemical Science|12|767|doi:10.1039/D0SC04646A |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc23g06t&sid=DataCite |
Title | CCDC 1949880: Experimental Crystal Structure Determination |
Description | Related Article: Jiawang Zhou, Ljiljana Stojanovic, Andrey A. Berezin, Tommaso Battisti, Abigail Gill, Benson M. Kariuki, Davide Bonifazi, Rachel Crespo-Otero, Michael R. Wasielewski, Yi-Lin Wu|2021|Chemical Science|12|767|doi:10.1039/D0SC04646A |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc23g0cz&sid=DataCite |
Title | CCDC 1949883: Experimental Crystal Structure Determination |
Description | Related Article: Jiawang Zhou, Ljiljana Stojanovic, Andrey A. Berezin, Tommaso Battisti, Abigail Gill, Benson M. Kariuki, Davide Bonifazi, Rachel Crespo-Otero, Michael R. Wasielewski, Yi-Lin Wu|2021|Chemical Science|12|767|doi:10.1039/D0SC04646A |
Type Of Material | Database/Collection of data |
Year Produced | 2020 |
Provided To Others? | Yes |
URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc23g0g2&sid=DataCite |