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Nanoscale photophysics at defects and interfaces in organic semiconductors

Lead Research Organisation: University of Leeds
Department Name: Chemical and Process Engineering

Abstract

The success of silicon electronics hinged on the production of high-purity, near-perfect crystals of silicon with well-controlled properties at the boundary (or interface) between different components of a micro-chip. Today, the search is well underway for materials that will serve analogous or additional functions but that achieve top performance while also being flexible, light-weight, easily processed, and mechanically durable. These desirable properties are most typically found in materials built in whole or part from molecules incorporating carbon-carbon bonds. Many of these materials, based on organic semiconductors, are already on the market in screens and sensors. And yet little is understood about the exact role played by imperfections in these materials. Very small imperfections, or defects, stop the movement of charges in these materials, and it is this controlled movement of charge that governs how well they work.

The ability to pinpoint tiny imperfections requires substantial advances in electron microscopy, the tool used to directly measure materials structure down to the positions of individual atoms. At the moment, most research relies on measurements that describe only the average position of where molecules and atoms are inside an organic semiconductor. It can sometimes be inferred that targeted properties like light emission or light absorption are better or worse as a result of disorder and defects that are present. But only by seeing defects directly and measuring how they behave at the appropriate length scale can they be understood fully. Identifying where the molecules and atoms are in a material is a large part, but only a part, of the full story. The missing piece is the direct experimental observation of 'how' and 'why' particular defects govern how efficiently a semiconductor emits or absorbs light. This interaction with light then determines how well a display screen works or how long a wearable light-based sensor will last.

These 'how' and 'why' questions depend fundamentally on the energy landscape created by defects; electrons will roll downhill. Electrons travelling through a material may run into an insurmountable obstacle if they encounter a region of material that is 'uphill' or at higher energy. Microscopy using electron beams is a mainstay technique for seeing 'where' and 'what' is happening in the landscape at the dimension of single atoms. The challenge is that organic semiconductors are easily damaged by electron beams. This research programme will create innovative approaches, including the use of machine learning and data science techniques as well as new microscope hardware, for using electrons beams to measure the energy landscape of organic semiconductors.

First, the optical properties - how a material absorbs or scatters light - will be examined at the small 'uphill' defects in organic semiconductors used in light emitting diodes (LEDs). With cutting edge electron microscopes, it is now possible to directly see how a material absorbs or emits light at visible light energies. The physics associated with these electron beam interactions means these measurements can also be carried out in a way that avoids damaging the sample beyond recognition. Next, the positions of individual atoms in molecular materials will be analysed. At defective regions in a material, individual atoms are misplaced from their expected positions. In this work, where the atoms sit at these mistakes will be measured very precisely and compared with observations about how 'uphill' or 'downhill' the landscape is in the vicinity. In the final stage, the new tools will be extended to look inside fully operational devices consisting of many layers. By cutting out cross-sections from these multi-layered devices, the new insights from electron microscopy, ultimately, will be integrated with processes in use on manufacturing development and quality control platforms.
 
Description Dislocations are a type of linear defect in crystals that are well-described in metals, ceramics, and inorganic semiconductors. We have developed new methods for analysing these defects in organic molecular crystals, including in small molecule organic semiconductor crystals. This advance revealed characteristics of dislocations in organic semiconductor crystals and also provides the technical basis for further probing the way these defects change the desirable properties of these materials.

Amorphous materials, including many polymer semiconductors, are materials without long-range atomic order. Not all amorphous structures are the same, however. We have advanced tools for probing variation in amorphous structure and distinguishing crystalline (ordered) and disordered regions of materials that contain both.
Exploitation Route The techniques we are developing are designed to require minimal adjustment to apply to a variety of other materials systems, encouraging adoption to carry out other research aims.

The insights into molecular packing and disorder in organic semiconductors also underpins work in devices and physics of these materials for refining processing for improved performance from scientific principles.
Sectors Chemicals

Electronics

Energy

 
Description AMICI: Amorphous Microstructure Imaging at Composite Interfaces in Metal-Organic Frameworks
Amount £1,716,234 (GBP)
Funding ID EP/Y024583/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 12/2023 
End 11/2028
 
Title Data for Mapping Short-Range Order at the Nanoscale in Metal-Organic Framework and Inorganic Glass Composites 
Description Dataset and associated Jupyter Notebook for the paper 'Mapping Short-Range Order at the Nanoscale in Metal-Organic Framework and Inorganic Glass Composites' by Joonatan E. M. Laulainen, Duncan N. Johnstone, Ivan Bogachev, Louis Longley, Courtney Calahoo, Lothar Wondraczek, David A. Keen, Thomas D. Bennett, Sean M. Collins, and Paul A. Midgley. Nanoscale. 2022. Detailed instructions on how to repeat the analysis are included within (in the form of Jupyter Notebooks) as well within the Methods section of the associated publication. X-ray PDF, EDS, and SED datasets are included. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact The data has been downloaded 16 times and viewed more than 100 times, reflecting uptake and exploration of this data in the research community. 
URL https://www.repository.cam.ac.uk/handle/1810/343629
 
Title In-situ TOF-SIMS, SEM, and XRD data for Borate Coating on Steel 
Description This dataset contains extracted time-of-flight secondary mass spectroscopy (TOF-SIMS) acquired at a series of temperature on borate coating on steel samples. The dataset also contains associated complementary data. such as X-ray difrraction at different temperatures, scanning electron diffraction images at different temperatures, and TOF-SIMS control experiments at individual temperatures and a different beam energy. The data is extracted and presented in HDF5 file format, consistent with the hyperspy Python package, an open-source package coded in Python. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact The dataset was released in coordination with a publication in Nano Letters. The dataset has been used in conference presentations and supports training in the research group. 
URL https://archive.researchdata.leeds.ac.uk/1258/
 
Title Materials characterisation data on proton conducting arenedisulfonate coordination polymers 
Description This dataset contains original characterizations of scanning electron microscopy (SEM), X-ray energy-dispersive spectroscopy (EDS), cryogenic-SEM (cryo-SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), elemental analysis (CHNS), light microscopy, scanning electron diffraction (SED), thermogravimetric analysis (TGA) and differential thermogravimetry (DTG), and electrochemical impedance spectroscopy (EIS) tests on coordination polymers (CPs) and CPs based membranes presented in the linked publication. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact This dataset has been released in coordination with a publication in the Journal of Materials Chemistry A. The dataset has been used for internal researcher training in the research group. 
URL https://archive.researchdata.leeds.ac.uk/1301/
 
Title Molecular Crystals 4D-STEM Dataset for Microscopic Dislocation Analysis 
Description Original scanning electron diffraction data were acquired on p-terphenyl, anthracene, theophylline, and leaf wax samples presented in the linked publication. The dataset also contains associated calibration data of Au-X grating and MoO3. The data is presented in HDF5 file format, consistent with the hyperspy Python package, an open-source package coded in Python. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact This dataset was released in coordination with a publication forthcoming in Nature Materials. The dataset has underpinned conference presentations and training within the research group. The dataset has also underpinned industrial collaboration activity with Tescan (electron microscope manufacturer). 
URL https://archive.researchdata.leeds.ac.uk/1371/
 
Title Scanning electron diffraction data on Fe-BTC and MIL-100 
Description This dataset contains original scanning electron diffraction data acquired on MIL-100 and Fe-BTC samples presented in the linked publication. The dataset also contains associated calibration data. The data is presented in HDF5 file format, consistent with the hyperspy Python package, an open-source package coded in Python. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact This dataset underpinned an invited publication in Communications Chemistry. The dataset has led on to presentations in university invited seminar presentations and talks at conferences. The dataset has also been used to train new research group members in the use of electron nanobeam diffraction techniques for electron beam pair distribution function analysis. 
URL https://archive.researchdata.leeds.ac.uk/1089/
 
Description Daresbury Lab Open Day 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact As part of the Daresbury Lab open day, I ran school workshops and general audience tours at SuperSTEM, the EPSRC National Research Facility for Advanced Electron Microscopy. This facility is a core facility used in our research on organic semiconductors. Across three days, 50-60 students attended workshops and tours followed by ~80-100 general public attendees on the open day itself. Tours and workshops involved activities and demonstrations of advanced electron microscopy tools as well as their role in solving materials- and physical sciences-challenges for a sustainable future. The sessions were interactive with students and members of the general public asking questions, making connections, and expressing exhilaration at seeing atoms 'live' in the in the microscope and in learning about the applications from solar energy to discoveries about meteorites.
Year(s) Of Engagement Activity 2023
URL https://www.ukri.org/news/daresbury-laboratory-opens-its-doors-to-the-public/#:~:text=On%2015%20July...