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Modelling the effect of dipole ordering on charge-carrier mobility in organic semiconductors (2023)
Journal Article
Pope, T., Giret, Y., Fsadni, M., Docampo, P., Groves, C., & Penfold, T. J. (2023). Modelling the effect of dipole ordering on charge-carrier mobility in organic semiconductors. Organic Electronics, 115, Article 106760. https://doi.org/10.1016/j.orgel.2023.106760

The hopping mobility in organic semiconductors is strongly influenced by the correlated on-site noise — i.e. the dipole–dipole interaction between neighbouring molecules. In this paper, we use Kinetic Monte Carlo (KMC) to study the effect of dipole m... Read More about Modelling the effect of dipole ordering on charge-carrier mobility in organic semiconductors.

In-Materio Extreme Learning Machines (2022)
Book Chapter
Jones, B. A., Al Moubayed, N., Zeze, D. A., & Groves, C. (2022). In-Materio Extreme Learning Machines. In G. Rudolph, A. V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, & T. Tušar (Eds.), Parallel Problem Solving from Nature – PPSN XVII (505-519). Springer Verlag. https://doi.org/10.1007/978-3-031-14714-2_35

Nanomaterial networks have been presented as a building block for unconventional in-Materio processors. Evolution in-Materio (EiM) has previously presented a way to congure and exploit physical materials for computation, but their ability to scale as... Read More about In-Materio Extreme Learning Machines.

Towards Intelligently Designed Evolvable Processors (2022)
Journal Article
Jones, B. A., Chouard, J. L., Branco, B. C., Vissol-Gaudin, E. G., Pearson, C., Petty, M. C., …Groves, C. (2022). Towards Intelligently Designed Evolvable Processors. Evolutionary Computation, 30(4), 479-501. https://doi.org/10.1162/evco_a_00309

Evolution-in-Materio is a computational paradigm in which an algorithm reconfigures a material’s properties to achieve a specific computational function. This paper addresses the question of how successful and well performing Evolution-in-Materio pro... Read More about Towards Intelligently Designed Evolvable Processors.

Single event burnout sensitivity of SiC and Si (2022)
Journal Article
Littlefair, M. T. M., Simdyankin, S., Turvey, S., Groves, C., & Horsfall, A. B. (2022). Single event burnout sensitivity of SiC and Si. Semiconductor Science and Technology, 37(6), Article 065013. https://doi.org/10.1088/1361-6641/ac668c

Exposure to ionizing radiation has the potential to catastrophically modify the operation, and destroy, electronic components in microseconds. The electrification of aircraft necessitates the need to use the most power dense and lowest loss semicondu... Read More about Single event burnout sensitivity of SiC and Si.

Enhanced Methods for Evolution in-Materio Processors (2022)
Conference Proceeding
Jones, B. A., Al Moubayed, N., Zeze, D. A., & Groves, C. (2022). Enhanced Methods for Evolution in-Materio Processors. . https://doi.org/10.1109/icrc53822.2021.00026

Evolution-in-Materio (EiM) is an unconventional computing paradigm, which uses an Evolutionary Algorithm (EA) to configure a material's parameters so that it can perform a computational task. While EiM processors show promise, slow manufacturing and... Read More about Enhanced Methods for Evolution in-Materio Processors.

How does location determine the economic competitiveness of grid-scale Emerging PV? (2022)
Journal Article
Nieto-Díaz, B. A., Crossland, A. F., & Groves, C. (2022). How does location determine the economic competitiveness of grid-scale Emerging PV?. Energy Technology, 10(5), Article 2101012. https://doi.org/10.1002/ente.202101012

Emerging Photovoltaic (PV) devices with perovskite or organic absorber layers may play a substantial role in our energy future due to their potential low-cost manufacture and differing properties compared to established Silicon equivalents. However,... Read More about How does location determine the economic competitiveness of grid-scale Emerging PV?.

Differing Impacts of Blended Fullerene Acceptors on the Performance of Ternary Organic Solar Cells (2021)
Journal Article
Palacios-Gómez, D. A., Huerta Flores, A. M., MacKenzie, R. C., Pearson, C., Alanazi, F., Mendis, B. G., & Groves, C. (2021). Differing Impacts of Blended Fullerene Acceptors on the Performance of Ternary Organic Solar Cells. ACS Applied Energy Materials, 4(10), 10867-10876. https://doi.org/10.1021/acsaem.1c01833

Organic photovoltaic (OPV) devices offer the ability to tune the electronic and optical properties of the active layer by selection of a wide range of molecules; however, their power conversion efficiencies currently lag other competing photovoltaic... Read More about Differing Impacts of Blended Fullerene Acceptors on the Performance of Ternary Organic Solar Cells.

A levelized cost of energy approach to select and optimise emerging PV technologies: The relative impact of degradation, cost and initial efficiency (2021)
Journal Article
Nieto-Díaz, B. A., Crossland, A. F., & Groves, C. (2021). A levelized cost of energy approach to select and optimise emerging PV technologies: The relative impact of degradation, cost and initial efficiency. Applied Energy, 299, Article 117302. https://doi.org/10.1016/j.apenergy.2021.117302

A model of levelized cost of energy (LCOE) is presented which accounts for the significant ‘burn-in’ losses common in photovoltaic (PV) devices with organic (OPV) and perovskite (PVK) absorber layers. This model is used to quantify the relative impor... Read More about A levelized cost of energy approach to select and optimise emerging PV technologies: The relative impact of degradation, cost and initial efficiency.

Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules (2021)
Journal Article
Vissol-Gaudin, E., Pearson, C., Groves, C., Zeze, D. A., Cantiello, H. F., Cantero, M. D. R., & Petty, M. C. (2021). Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules. Scientific Reports, 11, Article 10776. https://doi.org/10.1038/s41598-021-90260-0

We report on the electrical behaviour of thin films of bovine brain microtubules (MTs). For samples in both their dried and hydrated states, the measured currents reveal a power law dependence on the applied DC voltage. We attribute this to the injec... Read More about Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules.

Enhanced lifetime of Organic Photovoltaic diodes achieved by blending with PMMA: Impact of morphology and Donor:Acceptor combination (2020)
Journal Article
Nieto-Díaz, B. A., Pearson, C., Al-Busaidi, Z., Bowen, L., Petty, M. C., & Groves, C. (2021). Enhanced lifetime of Organic Photovoltaic diodes achieved by blending with PMMA: Impact of morphology and Donor:Acceptor combination. Solar Energy Materials and Solar Cells, 219, Article 110765. https://doi.org/10.1016/j.solmat.2020.110765

In order to realise the potential of organic photovoltaic devices (OPVs) to provide cheap, scalable access to renewable energy, it is necessary to improve their lifetime and cost of encapsulation. The aim of this work is to achieve these aims by blen... Read More about Enhanced lifetime of Organic Photovoltaic diodes achieved by blending with PMMA: Impact of morphology and Donor:Acceptor combination.

Assessment of Electricity Decarbonization Scenarios for New Zealand and Great Britain using a Plant Dispatch and Electrical Energy Storage Modelling Framework (2020)
Journal Article
Crossland, A., Scoles, K., Wang, A., Groves, C., & Sun, S. (2020). Assessment of Electricity Decarbonization Scenarios for New Zealand and Great Britain using a Plant Dispatch and Electrical Energy Storage Modelling Framework. Energies, 13(11), Article 2799. https://doi.org/10.3390/en13112799

This paper proposes a methodology to assess the impact of alternative electricity generation and energy storage scenarios for meeting electricity demand on a national level. The method combines real and synthetic electricity generation and demand dat... Read More about Assessment of Electricity Decarbonization Scenarios for New Zealand and Great Britain using a Plant Dispatch and Electrical Energy Storage Modelling Framework.

Efficient and Stable Solution-Processed Organic Light Emitting Transistors using a High-k Dielectric (2019)
Journal Article
Nam, S., Chaudhry, M. U., Tetzner, K., Pearson, C., Groves, C., Petty, M. C., …Bradley, D. D. (2019). Efficient and Stable Solution-Processed Organic Light Emitting Transistors using a High-k Dielectric. ACS Photonics, 6(12), 3159-3165. https://doi.org/10.1021/acsphotonics.9b01265

We report the development of highly efficient and stable solution-processed organic light emitting transistors (OLETs) that combine a polymer heterostructure with the transparent high-k dielectric poly(vinylidenefluoride0.62-trifluoroethylene0.31-chl... Read More about Efficient and Stable Solution-Processed Organic Light Emitting Transistors using a High-k Dielectric.

Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers (2018)
Conference Proceeding
Vissol-Gaudin, E., Kotsialos, A., Groves, C., Pearson, C., Zeze, D., Petty, M., & Al-moubayed, N. (2018). Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers. In 2018 IEEE Congress on Evolutionary Computation (CEC) : 8-13 July 2018, Rio de Janeiro, Brazil ; proceedings (646-653). https://doi.org/10.1109/cec.2018.8477779

This paper focuses on a performance analysis of single-walled-carbon-nanotube / liquid crystal classifiers produced by evolution in materio. A new confidence measure is proposed in this paper. It is different from statistical tools commonly used to e... Read More about Confidence Measures for Carbon-Nanotube / Liquid Crystals Classifiers.

Low-Voltage Solution-Processed Hybrid Light-Emitting Transistors (2018)
Journal Article
Chaudhry, M. U., Tetzner, K., Lin, Y., Nam, S., Pearson, C., Groves, C., …Bradley, D. D. (2018). Low-Voltage Solution-Processed Hybrid Light-Emitting Transistors. ACS Applied Materials and Interfaces, 10(22), 18445-18449. https://doi.org/10.1021/acsami.8b06031

We report the development of low operating voltages in inorganic–organic hybrid light-emitting transistors (HLETs) based on a solution-processed ZrOx gate dielectric and a hybrid multilayer channel consisting of the heterojunction In2O3/ZnO and the o... Read More about Low-Voltage Solution-Processed Hybrid Light-Emitting Transistors.

Simulating charge transport in organic semiconductors and devices: a review (2016)
Journal Article
Groves, C. (2017). Simulating charge transport in organic semiconductors and devices: a review. Reports on Progress in Physics, 80(2), Article 026502. https://doi.org/10.1088/1361-6633/80/2/026502

Charge transport simulation can be a valuable tool to better understand, optimise and design organic transistors (OTFTs), photovoltaics (OPVs), and light-emitting diodes (OLEDs). This review presents an overview of common charge transport and device... Read More about Simulating charge transport in organic semiconductors and devices: a review.

Enhanced Lifetime of organic photovoltaic diodes utilizing a ternary blend including an insulating polymer (2016)
Journal Article
AL-Busaidi, Z., Pearson, C., Groves, C., & Petty, M. (2016). Enhanced Lifetime of organic photovoltaic diodes utilizing a ternary blend including an insulating polymer. Solar Energy Materials and Solar Cells, 160, 101-106. https://doi.org/10.1016/j.solmat.2016.10.018

We report on the lifetime of unencapsulated organic photovoltaic diodes (OPVs) based on a ternary blend of poly(3-hexylthiophene) (P3HT), phenyl-C61-butyric acid methyl ester (PCBM) and a soft insulating polymer, poly(methyl methacrylate) (PMMA) as c... Read More about Enhanced Lifetime of organic photovoltaic diodes utilizing a ternary blend including an insulating polymer.

Evolution of Electronic Circuits using Carbon Nanotube Composites (2016)
Journal Article
Massey, M., Kotsialos, A., Volpati, D., Vissol-Gaudin, E., Pearson, C., Bowen, L., …Petty, M. (2016). Evolution of Electronic Circuits using Carbon Nanotube Composites. Scientific Reports, 6, Article 32197. https://doi.org/10.1038/srep32197

Evolution-in-materio concerns the computer controlled manipulation of material systems using external stimuli to train or evolve the material to perform a useful function. In this paper we demonstrate the evolution of a disordered composite material,... Read More about Evolution of Electronic Circuits using Carbon Nanotube Composites.

Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms (2016)
Conference Proceeding
Vissol-Gaudin, E., Kotsialos, A., Massey, M., Zeze, D., Pearson, C., Groves, C., & Petty, M. (2016). Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms. In M. Amos, & A. Condon (Eds.), Unconventional computation and natural computation : 15th International Conference, UCNC 2016, Manchester, UK, July 11-15, 2016 ; proceedings (130-141). https://doi.org/10.1007/978-3-319-41312-9_11

Evolution-in-Materio uses evolutionary algorithms (EA) to exploit the physical properties of unconfigured, physically rich materials, in effect transforming them into information processors. The potential of this technique for machine learning proble... Read More about Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms.

Relating Molecular Morphology to Charge Mobility in Semicrystalline Conjugated Polymers (2016)
Journal Article
Jones, M., Huang, D., Chakrabarti, B., & Groves, C. (2016). Relating Molecular Morphology to Charge Mobility in Semicrystalline Conjugated Polymers. Journal of Physical Chemistry C, 120(8), 4240-4250. https://doi.org/10.1021/acs.jpcc.5b11511

The molecular-level origins of the effects of annealing temperature and molecular weight on hole mobility in P3HT are elucidated using coarse-grained molecular dynamics, quantum chemical calculations, and kinetic Monte Carlo charge-transport simulati... Read More about Relating Molecular Morphology to Charge Mobility in Semicrystalline Conjugated Polymers.