Active Cells, Biochemistry & Physiology Chemistry

Linking Morphology to Physical Properties for Organic Electronics

In plain English

AI plain-English summary

A chemist is building predictive computer models to design organic materials that could replace the metal-based electronics in wearable health monitors and smart textiles. The core problem is that organic molecules—cheap, flexible, and non-toxic—are maddeningly unpredictable. Their properties depend on how they clump together and dissolve, and current models cannot reliably forecast this. The researcher aims to fix that by synthesising new molecules, feeding the results into open-source QSPR (quantitative structure-property relationship) models, and making those models more accurate and broadly applicable. If the models work, the payoff is practical. The team will develop flexible, colour-changing materials that respond to UV light or temperature—for example, clothing that warns children of sun exposure or helps regulate body temperature for dementia patients. They will also explore food packaging that changes colour when contents spoil. Because the organic materials are cheaper to synthesise than traditional metal-based ones, the resulting devices could become more accessible. The open-source models themselves could accelerate discovery across the entire field of organic electronics, letting other researchers skip trial-and-error and go straight to promising candidates.

View original technical description
Context The work is situated at the intersection of organic electronics, computational chemistry, and materials science. The project builds on the success of my Fellowship, which focused on the design, synthesis, and testing of self-assembled organic thin films for flexible electronic devices for real-world applications such as wearable electronics and smart textiles. We are using the predictions from our computational models to build and test materials to be used in wearable electronics such as for responsive monitoring and healthcare. These organic materials will replace traditionally used and problematic metal-based devices. The Challenge Material Complexity and Performance: Predicting and controlling the properties of organic electronic materials remains challenging due to the complexity of molecular aggregation and solubility. Current models are limited in scope and accuracy. Due to the complexity, if we can develop a model to explore molecular aggregation and solubility, we will reduce time and resources in researching the best materials. Scalability: Developing flexible materials that maintain performance under mechanical stress and environmental conditions is essential for real-world applications. Scaling up from lab prototypes to real-world application. Application-Specific Design: Creating materials that respond to environmental stimuli (e.g., light, temperature) and integrating them into clothing and devices presents both technical and commercial challenges. Each application will have very specific requirements. Aims and Objectives Expand Chemical Space and Property Prediction of QSPR models: We will increase the diversity of molecules tested within predictive models, which will improve the accuracy and robustness of solubility and performance predictions. This will be done by synthesising and testing new molecules. We will continue to develop QSPR models for predicting conductivity, flexibility, and other desirable properties. Develop and Integrate Flexible Electronics: We will develop scalable manufacturing methods and testing for our flexible materials. We will work with collaborators and industry to test real-world performance in wearable electronics and smart fabrics. Application-Specific Optimisation: We will create UV- and thermochromic materials for use in sensors and clothing. We will investigate multi-stimuli responsive materials for health monitoring and environmental sensing. Potential Applications and Benefits Wearable Technology for Healthcare: We will develop flexible, responsive materials for smart clothing (e.g., UV protection for children, temperature regulation for dementia patients) working with our collaborators. We aim to make real-time sensors embedded in textiles for health monitoring and responsive care. The low cost in the synthesis and preparation of our organic materials compared to traditional metal-based versions makes them more accessible to more people. Food Packaging: We will investigate colour-changing materials that indicate food spoilage based on environmental changes. This will be a new area for us, but a way to expand the research direction and functionality of our materials. Commercialisation: There is a potential for patents, licensing, and industrial partnerships, supported by existing and new collaborations with Scottish Universities, NHS Scotland and industry partners. We currently have some of the materials and films patented and will expand these if needed. This depends on the direction and types of devices being tested. Scientific Impact: All our QSPR work is open-source predictive models that enable broader material discovery and cross-disciplinary research in organic electronics and computational chemistry. We envision our models being made even more reliable and predictive from the interaction of the scientific communities. By doing this we broaden the chemical space further and increase the different properties that we can predict.

View the original record at the funder ↗

Researchers

Emily Draper (Principal Investigator)

Related Research

Grants with similar aims, by meaning.

Design of Organic Electronic Materials using Predictive Modelling
Data-driven design of organic mixed conductors
Quantum engineering of energy-efficient molecular materials (QMol)
Organic Control of Topological Surface States for THz Logic
Catalysis with a spin - controlling electron spin-polarisation through chirality

Original classification

Fellowship

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.