All Outputs (11)

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.

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.

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.

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.

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.

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.