Outputs (77)

Polymorphism in Glu-Phe-Asp Proteinoids (2025)
Journal Article

Glu-Phe-Asp (GFD) proteinoids represent a class of synthetic polypeptides capable of self-assembling into microspheres, fibres, or combinations thereof, with morphology dramatically influencing their electrical properties. Extended recordings and det... Read More about Polymorphism in Glu-Phe-Asp Proteinoids.

Modulation of proteinoid electrical spiking activity with magnetic nanoparticles (2025)
Journal Article

This study looks at how proteinoid microspheres and their magnetic polystyrene (PS) hybrids behave electrochemically. It also explores their computational abilities. These systems show complex membrane potential dynamics. Pure proteinoids spike witho... Read More about Modulation of proteinoid electrical spiking activity with magnetic nanoparticles.

Bio-inspired cryptography based on proteinoid assemblies (2025)
Journal Article

We present an innovative cryptographic technique inspired by the self-assembly processes of proteinoids—thermally stable proteins that form spontaneously under prebiotic conditions. By emulating the deterministic yet complex interactions within prote... Read More about Bio-inspired cryptography based on proteinoid assemblies.

Living kombucha electronics with proteinoids (2025)
Journal Article

The work introduces a composite material that combines Kombucha cellulose mats with synthetic thermal proteinoids to create electroactive biofilms, capable for sensing and computation. The synthesis of proteinoids involves heating amino acid mixtures... Read More about Living kombucha electronics with proteinoids.

Self-organizing proteinoid–actin networks: Structure and voltage dynamics (2025)
Journal Article

Proteinoids are thermal proteins produced by heating amino acids to their melting point and initiation of polymerization to produce polymeric chains. Proteinoids swell in aqueous solution forming hollow microspheres, usually filled with aqueous solut... Read More about Self-organizing proteinoid–actin networks: Structure and voltage dynamics.

Designing morphologies of soft medical devices using cooperative neuro coevolution (2025)
Presentation / Conference Contribution

Soft robots have proven to outperform traditional robots in applications related to propagation in geometrically constrained environments. Designing these robots and their controllers is an intricate task, since their building materials exhibit non-l... Read More about Designing morphologies of soft medical devices using cooperative neuro coevolution.

Bioelectrical synchronization of Picea abies during a solar eclipse (2025)
Journal Article

Regular light–dark cycles greatly affect organisms, and events like eclipses induce distinctive physiological and behavioural shifts. While well documented in animals, plant behaviour during eclipses remains largely unexplored. Here, we monitored mul... Read More about Bioelectrical synchronization of Picea abies during a solar eclipse.

Thermal colloid programming (2025)
Journal Article

This paper investigates the computational capabilities of colloidal systems, focusing on the integration of Boolean logic operations within gold nanoparticle suspensions under varying temperature conditions. As climate change, artificial intelligence... Read More about Thermal colloid programming.

Liquid ferrofluid synapses for spike-based neuromorphic learning (2025)
Journal Article

Solid-state memory devices have emerged as promising synapses for neuromorphic engineering and computing. However, features such as limited endurance, static sensitivity, and lower ON/OFF ratios, as well as the need for peculiar conditions including... Read More about Liquid ferrofluid synapses for spike-based neuromorphic learning.

An integrated approach to mitigate poisoning attacks in federated learning frameworks (2025)
Presentation / Conference Contribution

While Federated learning (FL) is considered privacy-preserving by nature, it remains vulnerable to many attacks, such as data and model poisoning, that compromise data integrity and model accuracy. Conventional privacy-preserving federated learning (... Read More about An integrated approach to mitigate poisoning attacks in federated learning frameworks.