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Neural networks predicting microbial fuel cells output for soft robotics applications (2021)
Journal Article
Tsompanas, M. A., You, J., Philamore, H., Rossiter, J., & Ieropoulos, I. (2021). Neural networks predicting microbial fuel cells output for soft robotics applications. Frontiers in Robotics and AI, 8, https://doi.org/10.3389/frobt.2021.633414

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
Tsompanas, M. A., Bull, L., Adamatzky, A., & Balaz, I. (2020). In silico optimization of cancer therapies with multiple types of nanoparticles applied at different times. Computer Methods and Programs in Biomedicine, 200, https://doi.org/10.1016/j.cmpb.2020.105886

© 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
Balaz, I., Petrić, T., Kovacevic, M., Tsompanas, M. A., & Stillman, N. (2021). Harnessing adaptive novelty for automated generation of cancer treatments. BioSystems, 199, https://doi.org/10.1016/j.biosystems.2020.104290

© 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
Tsompanas, M., Bull, L., Adamatzky, A., & Balaz, I. (2020). Novelty search employed into the development of cancer treatment simulations. Informatics in Medicine Unlocked, 19, 100347. https://doi.org/10.1016/j.imu.2020.100347

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
Tsompanas, M. A., You, J., Wallis, L., Greenman, J., & Ieropoulos, I. (2019). Artificial neural network simulating microbial fuel cells with different membrane materials and electrode configurations. Journal of Power Sources, 436, https://doi.org/10.1016/j.jpowsour.2019.226832

© 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
Tsompanas, M. A., Fullarton, C., & Adamatzky, A. (2019). Belousov-Zhabotinsky liquid marbles in robot control. Sensors and Actuators B: Chemical, 295, 194-203. https://doi.org/10.1016/j.snb.2019.04.152

© 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.

Hardware implementation of a biomimicking hybrid CA (2018)
Book Chapter
Madikas, M., Tsompanas, M., Dourvas, N., Sirakoulis, G., Jones, J., & Adamatzky, A. (2018). Hardware implementation of a biomimicking hybrid CA. In A. Dennunzio, K. Nishinari, L. Manzoni, G. Mauri, & S. El Yacoubi (Eds.), International Conference on Cellular AutomataSpringer Nature

A hybrid model, combining a Cellular Automaton (CA) and a multi-agent system, was proposed to mimic the computation abilities of the plasmodium of Physarum polycephalum. This model was implemented on software, as well as, on hardware, namely on a Fie... Read More about Hardware implementation of a biomimicking hybrid CA.

Fluidic gates simulated with lattice Boltzmann method under different Reynolds numbers (2018)
Journal Article
Tsompanas, M. A., & Andrew, A. (2018). Fluidic gates simulated with lattice Boltzmann method under different Reynolds numbers. Journal of Computational Science, 28, 51-58. https://doi.org/10.1016/j.jocs.2018.08.003

© 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
Tsompanas, M. A., Adamatzky, A., Ieropoulos, I., Phillips, N., Sirakoulis, G., & Greenman, J. (2019). Modelling microbial fuel cells using Lattice Boltzmann methods. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 6(16), 2035-2045. https://doi.org/10.1109/TCBB.2018.2831223

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
Sirakoulis, G. C., Tsompanas, M. A., Adamatzky, A., Greenman, J., & Ieropoulos, I. (2017). Towards implementation of cellular automata in Microbial Fuel Cells. PLoS ONE, 12(5), e0177528. https://doi.org/10.1371/journal.pone.0177528

© 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
Sirakoulis, G. C., Phillips, N., Tsompanas, M. A., Adamatzky, A., Ieropoulos, I., Phillips, G. N., …Greenman, J. (2017). Cellular non-linear network model of microbial fuel cell. BioSystems, 156-157, 53-62. https://doi.org/10.1016/j.biosystems.2017.04.003

© 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
Adamatzky, A. I., Sirakoulis, G. C., Tsompanas, M. A. I., Tsompanas, M., Sirakoulis, G., & Adamatzky, A. (2016). Physarum in silicon: the Greek motorways study. Natural Computing, 15(2), 279-295. https://doi.org/10.1007/s11047-014-9459-0

© 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.

A biologically inspired network design model (2015)
Journal Article
Zhang, X., Adamatzky, A., Chan, F. T., Deng, Y., Yang, H., Yang, X. S., …Mahadevan, S. (2015). A biologically inspired network design model. Scientific Reports, 5, https://doi.org/10.1038/srep10794

A network design problem is to select a subset of links in a transport network that satisfy passengers or cargo transportation demands while minimizing the overall costs of the transportation. We propose a mathematical model of the foraging behaviour... Read More about A biologically inspired network design model.

Towards a slime Mould-FPGA interface (2015)
Journal Article
Mayne, R., Tsompanas, M. A., Sirakoulis, G. C., & Adamatzky, A. (2015). Towards a slime Mould-FPGA interface. Biomedical Engineering Letters, 5(1), 51-57. https://doi.org/10.1007/s13534-015-0173-3

© 2015, Korean Society of Medical and Biological Engineering and Springer. Purpose: The plasmodium of slime mouldPhysarum polycephalum: is a multinucleate single celled organism which behaves as a living amorphous unconventional computing substrate.... Read More about Towards a slime Mould-FPGA interface.