The nucleation and growth theory, described by the Avrami equation (also called Johnson–Mehl–Avrami–Kolmogorov equation), and usually used to describe crystallization and nucleation processes in condensed matter physics, was applied to cancer physics as Avrami-Dobrzyński Model. This approach assumes the transforming system as a DNA chain including many oncogenic mutations. Finally, the...
Szegedy quantum walks represent a generalization of discrete random walks to the quantum domain, finding broad applications in quantum computing. Recent studies have demonstrated that classical resetting mechanisms can accelerate the arrival of a particle at its target, even in the context of quantum walks. This poster presents an approach to introducing purely quantum resetting into Szegedy...
Computer simulations were carried out to understand the processes that occur in organic light-emitting diode (OLED) devices at an atomic and macroscopic level. The main goal was to optimize the OLED structure by taking into account the transport of charge carriers, quantum efficiency and stability. The characteristics and morphology of subsequent layers and interlayer junctions were also...
Active matter is one of the hottest topics in physics nowadays. As a prototype of living systems operating in viscous environments it has usually been modeled in terms of the overdamped dynamics. Recently, active matter in the underdamped regime has gained a place in the spotlight. Here we unveil another remarkable face of active matter. In doing so we demonstrate and explain an...
The active Brownian particle model can exhibit directed motion when subjected to spatial gradients in activity, such as light‑induced motility in bacteria. In the absence of external forces, this rectification arises only in two or more dimensions. Here, we use computer simulations to study Vicsek‑like flocks of aligning active Brownian particles moving through two‑dimensional...
Thermodynamic uncertainty relations (TURs) provide fundamental constraints on the interplay between power fluctuations, entropy production, and efficiency in overdamped stationary autonomous heat engines. However, their validity in underdamped regimes remains limited and less explored. Here, we analytically and numerically study a physically realizable autonomous heat engine composed of two...
Modulated nematic phases, such as the twist-bend nematic (NTB) and splaybend nematic (NSB) phases, experimentally discovered within the last 15 years, are among the most intriguing liquid crystal phases due to their potential practical applications. A possible mechanism underlying the stabilization of these phases is flexopolarization-induced softening of the bend elastic constant. To...
A large amount of information about the singular type of virus caused by SARS-CoV-2 during the COVID-19 pandemic has provided unique insights into the stochastic processes connected to mutations at the DNA level and changes in system entropy. Predictions made by biophysical Single Hit Target Models associate DNA damage with an increase in system entropy. However, it turns out that not all...
Assessing the diffusion characteristics of tracer particles in complex environments, including soft matter and biological matter, yields valuable insights into material properties and biological processes. This is particularly evident in the transport of single molecules, viruses, and particles passing through natural and synthetic pores, which exhibit peculiar features that are the subject of...
Using measurements from the Alpha Magnetic Spectrometer AMS02 aboard the International Space Station, we have examined the long-term variations in galactic cosmic ray (GCR) proton fluxes in 2011–2018. The AMS02 data allow study of time profiles and the energy/rigidity dependence of the long-term GCR variations observed directly in space in a wide rigidity range, from ∼(1 - 100)GV. We have...
Most natural phenomena evolve through non-equilibrium pathways following non-linear dynamics involving the crossing of a potential energy barrier. During these processes the systems transit from one state to another. We intend to understand in detail the significance of these states, their positions, and associated intrinsic fluctuations. As these systems are inevitably subjected to...
The active vertex model is a widely used framework for studying mechanical properties, phase transitions, cell topology, and tissue organization in developmental biology. In this work, we extend the classical formulation by introducing a curvature energy term that captures bending at cell edges through interactions between neighboring vertices. By assigning different target curvature values to...
Biological neural networks can efficiently solve cognitive tasks with different levels of complexity. However, we still lack understanding of how structural and functional features of these networks are affected by increasing the complexity of the goal function. This raises the following fundamental questions: What structural/functional network motifs drive success? How do these motifs change...
Patterns such as stripes, spots, and digit arrangements in animals emerge from multicellular organization driven by gene regulatory networks and intercellular signaling. In developmental biology, these processes can be modeled as reaction–diffusion systems, where intracellular gene interactions act as reactions and protein-mediated communication between neighboring cells is captured by...
The first hitting times of a stochastic process, i.e. the first time a process reaches a particular level, are of significant interest across various scientific disciplines, including biology, chemistry, and economics. We modify the standard setup by allowing the target to spontaneously switch between two states, either active or inactive, and investigate the distribution of first hitting...
Signal detected by electroencephalography (EEG) exhibits a power spectrum with a predominant $1/f$ component. As such, the signal is nonstationary. When EEG is applied to the study of cortical response to stimuli, the event-related potential (ERP) technique is commonly used.
It led to innumerable insights into the mechanisms of cognition. However, it has significant limitations:
A) it relies...
