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Responsive fungal insoles for pressure detection (2023)
Journal Article
Nikolaidou, A., Phillips, N., Tsompanas, M. A., & Adamatzky, A. (2023). Responsive fungal insoles for pressure detection. Scientific Reports, 13(1), 4595. https://doi.org/10.1038/s41598-023-31594-9

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
Tsakalos, K., Dragkola, P., Karamani, R., Tsompanas, M., Provata, A., Dimitrakis, P., …Sirakoulis, G. C. (2022). Chimera states in neuro-inspired area-efficient asynchronous cellular automata networks. IEEE Transactions on Circuits and Systems I: Regular Papers, 69(10), 4128-4140. https://doi.org/10.1109/TCSI.2022.3187376

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.

Rethinking living matter: Animate behaviours of fungal composites (2022)
Presentation / Conference
Nikolaidou, A., & Adamatzky, A. (2022, September). Rethinking living matter: Animate behaviours of fungal composites. Paper presented at SEEDS International Conference 2022, University of West of England, Bristol

Smart materials integrating conventional soft electronics e.g. sensors and actuators, are widely used in the building and wearable industries, contributing to the depletion of natural resources and having a vast environmental impact. In this paper, a... Read More about Rethinking living matter: Animate behaviours of fungal composites.

Chemical Wave Computing from Labware to Electrical Systems (2022)
Journal Article
Chatzinikolaou, T. P., Fyrigos, I., Ntinas, V., Kitsios, S., Tsompanas, M., Bousoulas, P., …Sirakoulis, G. C. (2022). Chemical Wave Computing from Labware to Electrical Systems. Electronics, 11(11), Article 1683. https://doi.org/10.3390/electronics11111683

Unconventional and, specifically, wave computing has been repeatedly studied in laboratory based experiments by utilizing chemical systems like a thin film of Belousov–Zhabotinsky (BZ) reactions. Nonetheless, the principles demonstrated by this chemi... Read More about Chemical Wave Computing from Labware to Electrical Systems.

Chlorella sensors in liquid marbles and droplets (2022)
Journal Article
Phillips, N., Mayne, R., & Adamatzky, A. (2022). Chlorella sensors in liquid marbles and droplets. Sensing and Bio-Sensing Research, 36, Article 100491. https://doi.org/10.1016/j.sbsr.2022.100491

The use of live organisms in electrically-coupled sensing devices has been suggested as an alternative low-cost, low-environmental footprint and robust technology for continuous monitoring and sensing applications. The utility of Chlorella vulgaris a... Read More about Chlorella sensors in liquid marbles and droplets.

Marimo actuated rover systems (2022)
Journal Article
Phillips, N., Draper, T. C., Mayne, R., Reynolds, D. M., & Adamatzky, A. (2022). Marimo actuated rover systems. Journal of Biological Engineering, 16(1), Article 3. https://doi.org/10.1186/s13036-021-00279-0

Background: The potential to directly harness photosynthesis to make actuators, biosensors and bioprocessors has been previously demonstrated in the literature. Herein, this capability has been expanded to more advanced systems — Marimo Actuated Rove... Read More about Marimo actuated rover systems.

Fungal electronics (2021)
Journal Article
Adamatzky, A., Ayres, P., Beasley, A. E., Chiolerio, A., Dehshibi, M. M., Gandia, A., …Wösten, H. A. (2022). Fungal electronics. BioSystems, 212, Article 104588. https://doi.org/10.1016/j.biosystems.2021.104588

Fungal electronics is a family of living electronic devices made of mycelium bound composites or pure mycelium. Fungal electronic devices are capable of changing their impedance and generating spikes of electrical potential in response to external co... Read More about Fungal electronics.

Fungal architectures (2021)
Exhibition / Performance
Nikolaidou, A., Adamatzky, A., Phillips, N., Roberts, N., & Petrova, I. Fungal architectures. [Installations, Prints]. 13 December 2021 - 19 December 2021. (Unpublished)

"Fungal architectures" arts exhibition presents works inspired by protocognition of fungi and slime moulds and fungal materials. Fungal Architectures is a new cross-disciplinary research project that seeks to develop a fully integrated structural and... Read More about Fungal architectures.

Mem-fractive properties of mushrooms (2021)
Journal Article
Beasley, A. E., Abdelouahab, M. S., Lozi, R., Tsompanas, M. A., Powell, A., & Adamatzky, A. (2022). Mem-fractive properties of mushrooms. Bioinspiration and Biomimetics, 16(6), Article 066026. https://doi.org/10.1088/1748-3190/ac2e0c

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
Stillman, N. R., Balaz, I., Tsompanas, M. A., Kovacevic, M., Azimi, S., Lafond, S., …Hauert, S. (2021). Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment. npj Computational Materials, 7(1), Article 150. https://doi.org/10.1038/s41524-021-00614-5

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.

Protein structured reservoir computing for spike-based pattern recognition (2021)
Journal Article
Tsakalos, K., Ch. Sirakoulis, G., Adamatzky, A., & Smith, J. (2022). Protein structured reservoir computing for spike-based pattern recognition. IEEE Transactions on Parallel and Distributed Systems, 33(2), 322 - 331. https://doi.org/10.1109/TPDS.2021.3068826

Nowadays we witness a miniaturisation trend in the semiconductor industry backed up by groundbreaking discoveries and designs in nanoscale characterisation and fabrication. To facilitate the trend and produce ever smaller, faster and cheaper computin... Read More about Protein structured reservoir computing for spike-based pattern recognition.

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, Article 633414. 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.

Living wearables from slime mould and fungi (2021)
Journal Article
Adamatzky, A., Nikolaidou, A., Gandia, A., & Chiolerio, A. (2021). Living wearables from slime mould and fungi. LINKs-series, 93-98

Smart wearables, augmented with soft and liquid electronics, can display sensing, responsive and adaptive capabilities, but they cannot self-grow or self-repair. Living organisms colonising a fabric could be a viable alternative. In the present artic... Read More about Living wearables from slime mould and fungi.

Reactive fungal wearable (2021)
Journal Article
Adamatzky, A., Nikolaidou, A., Gandia, A., Chiolerio, A., & Dehshibi, M. M. (2021). Reactive fungal wearable. BioSystems, 199, Article 104304. https://doi.org/10.1016/j.biosystems.2020.104304

Smart wearables sense and process information from the user’s body and environment and report results of their analysis as electrical signals. Conventional electronic sensors and controllers are commonly, sometimes augmented by recent advances in sof... Read More about Reactive fungal wearable.

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, Article 105886. 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, Article 104290. 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.

Contactless sensing of liquid marbles for detection, characterisation & computing (2019)
Journal Article
Draper, T. C., Phillips, N., Weerasekera, R., Mayne, R., Fullarton, C., de Lacy Costello, B., & Adamatzky, A. (2020). Contactless sensing of liquid marbles for detection, characterisation & computing. Lab on a Chip, 20(1), 136-146. https://doi.org/10.1039/c9lc01001g

Liquid marbles (LMs) are of growing interest in many fields, including microfluidics, microreactors, sensors, and signal carriers. The generation of LMs is generally performed manually, although there has recently been a burst of publications involvi... Read More about Contactless sensing of liquid marbles for detection, characterisation & computing.

Electrical Properties of Solvated Tectomers: Toward Zettascale Computing (2019)
Journal Article
Chiolerio, A., Draper, T. C., Jost, C., & Adamatzky, A. (2019). Electrical Properties of Solvated Tectomers: Toward Zettascale Computing. Advanced Electronic Materials, 5(12), Article 1900202. https://doi.org/10.1002/aelm.201900202

© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Liquid cybernetic systems with embodied intelligence solutions mimicking biologic systems, in response to future increasingly distributed sensing and the resulting data to be managed, has been propo... Read More about Electrical Properties of Solvated Tectomers: Toward Zettascale Computing.