All Outputs (55)

Decarbonising electrical grids using photovoltaics with enhanced capacity factors (2023)
Journal Article

Many scenarios for Net Zero anticipate substantial growth of Solar PV generation to satisfy 30% of our electricity needs. However, this scale of deployment introduces challenges as supply may not meet demand, thereby necessitating energy storage and... Read More about Decarbonising electrical grids using photovoltaics with enhanced capacity factors.

Modelling the effect of dipole ordering on charge-carrier mobility in organic semiconductors (2023)
Journal Article

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

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

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

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)
Presentation / Conference Contribution

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

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

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

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

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

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

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

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)
Presentation / Conference Contribution

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

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

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

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

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.

Unconventional Computation and Natural Computation (2016)
Book Chapter

Training a Carbon-Nanotube/Liquid Crystal Data Classifier Using Evolutionary Algorithms (2016)
Presentation / Conference Contribution

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.