All Outputs (22)

Logical circuits in colloids (2024)
Journal Article

Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due to their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in dimethylsulfoxide... Read More about Logical circuits in colloids.

Vulnerability detection through machine learning-based fuzzing: A systematic review (2024)
Journal Article

Modern software and networks underpin our digital society, yet the rapid growth of vulnerabilities that are uncovered within these threaten our cyber security posture. Addressing these issues at scale requires automated proactive approaches that can... Read More about Vulnerability detection through machine learning-based fuzzing: A systematic review.

Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter (2024)
Journal Article

Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designin... Read More about Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter.

Responsive fungal insoles for pressure detection (2023)
Journal Article

Mycelium bound composites are promising materials for a diverse range of applications including wearables and building elements. Their functionality surpasses some of the capabilities of traditionally passive materials, such as synthetic fibres, reco... Read More about Responsive fungal insoles for pressure detection.

Chimera states in neuro-inspired area-efficient asynchronous cellular automata networks (2022)
Journal Article

Synchronization transition in neuromorphic networks has attracted much attention recently as a fundamental property of biological neural networks, which relies on network connectivity along with different synaptic features. In this work, an area-opti... Read More about Chimera states in neuro-inspired area-efficient asynchronous cellular automata networks.

Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types (2021)
Journal Article

There is a rich history of evolutionary algorithms tackling optimization problems where the most appropriate size of solutions, namely the genome length, is unclear a priori. Here, we investigated the applicability of this methodology on the problem... Read More about Evolutionary algorithms designing nanoparticle cancer treatments with multiple particle types.

Mem-fractive properties of mushrooms (2021)
Journal Article

Memristors close the loop for I-V characteristics of the traditional, passive, semi-conductor devices. A memristor is a physical realisation of the material implication and thus is a universal logical element. Memristors are getting particular intere... Read More about Mem-fractive properties of mushrooms.

Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment (2021)
Journal Article

We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments. Our work aims to decrease both the time and cost required to develop nanoparticle designs. EVONANO includes a simulator to grow tumours, ex... Read More about Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment.

Metameric representations on optimization of nano particle cancer treatment (2021)
Journal Article

In silico evolutionary optimization of cancer treatment based on multiple nano-particle (NP) assisted drug delivery systems was investigated in this study. The use of multiple types of NPs is expected to increase the robustness of the treatment, due... Read More about Metameric representations on optimization of nano particle cancer treatment.

Neural networks predicting microbial fuel cells output for soft robotics applications (2021)
Journal Article

The development of biodegradable soft robotics requires an appropriate eco-friendly source of energy. The use of Microbial Fuel Cells (MFCs) is suggested as they can be designed completely from soft materials with little or no negative effects to the... Read More about Neural networks predicting microbial fuel cells output for soft robotics applications.

In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times (2020)
Journal Article

© 2020 The Author(s) Background and Objective: Cancer tumors constitute a complicated environment for conventional anti-cancer treatments to confront, so solutions with higher complexity and, thus, robustness to diverse conditions are required. Alter... Read More about In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times.

Harnessing adaptive novelty for automated generation of cancer treatments (2020)
Journal Article

© 2020 The Authors Nanoparticles have the potential to modulate both the pharmacokinetic and pharmacodynamic profiles of drugs, thereby enhancing their therapeutic effect. The versatility of nanoparticles allows for a wide range of customization poss... Read More about Harnessing adaptive novelty for automated generation of cancer treatments.

Novelty search employed into the development of cancer treatment simulations (2020)
Journal Article

Conventional optimization methodologies may be hindered when the automated search is stuck into local optima because of a deceptive objective function landscape. Consequently, open ended search methodologies, such as novelty search, have been propose... Read More about Novelty search employed into the development of cancer treatment simulations.

Artificial neural network simulating microbial fuel cells with different membrane materials and electrode configurations (2019)
Journal Article

© 2019 Elsevier B.V. Microbial fuel cells (MFCs) are gaining interest due to higher power production achieved by deep analysis of their characteristics and their effect on the overall efficiency. To date, investigations on MFC efficiency, can only be... Read More about Artificial neural network simulating microbial fuel cells with different membrane materials and electrode configurations.

Belousov-Zhabotinsky liquid marbles in robot control (2019)
Journal Article

© 2019 Elsevier B.V. We show how to control the movement of a wheeled robot using on-board liquid marbles made of Belousov-Zhabotinsky solution droplets coated with polyethylene powder. Two stainless steel, iridium coated electrodes were inserted in... Read More about Belousov-Zhabotinsky liquid marbles in robot control.

Fluidic gates simulated with lattice Boltzmann method under different Reynolds numbers (2018)
Journal Article

© 2018 Elsevier B.V. Fluidic devices use fluid as a medium for information transfer and computation. Boolean values are represented by the presence of fluid jets in the input and output channels. Velocity of a fluid is one of the parameters determini... Read More about Fluidic gates simulated with lattice Boltzmann method under different Reynolds numbers.

Modelling microbial fuel cells using Lattice Boltzmann methods (2018)
Journal Article

An accurate modelling of bio-electrochemical processes that govern Microbial Fuel Cells (MFCs) and mapping their behaviour according to several parameters will enhance the development of MFC technology and enable their successful implementation in we... Read More about Modelling microbial fuel cells using Lattice Boltzmann methods.

Towards implementation of cellular automata in Microbial Fuel Cells (2017)
Journal Article

© 2017 Tsompanas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are... Read More about Towards implementation of cellular automata in Microbial Fuel Cells.

Cellular non-linear network model of microbial fuel cell (2017)
Journal Article

© 2017 Elsevier B.V. A cellular non-linear network (CNN) is a uniform regular array of locally connected continuous-state machines, or nodes, which update their states simultaneously in discrete time. A microbial fuel cell (MFC) is an electro-chemica... Read More about Cellular non-linear network model of microbial fuel cell.

Physarum in silicon: the Greek motorways study (2016)
Journal Article

© 2014, Springer Science+Business Media Dordrecht. Physarum polycephalum has repeatedly, during the last decade, demonstrated that has unexpected computing abilities. While the plasmodium of P. polycephalum can effectively solve several geographical... Read More about Physarum in silicon: the Greek motorways study.