Single-cell omics is transforming our understanding of cell biology and disease, yet the
systems-level analysis and interpretation of single-cell data faces many challenges. In this …

This review deals with restricted Boltzmann machine (RBM) under the light of statistical
physics. The RBM is a classical family of machine learning (ML) models which played a …

Stress responses allow cells to adapt to changes in external conditions by activating specific
pathways. Here we investigate the dynamics of single cells that were subjected to acute …

Abstract We consider the Sherrington–Kirkpatrick model of spin glasses with
ferromagnetically biased couplings. For a specific choice of the couplings mean, the …

Neurons in the brain communicate with spikes, which are discrete events in time and value.
Functional network models often employ rate units that are continuously coupled by analog …

The potential applications of multiferroics render them a prominent research topic as well as
attractive material for many applications especially for spintronics. In this context trials to …

The present work reports a detailed study of the spin dynamics, magnetocaloric effect and
critical behaviour near the magnetic phase transition temperature, of a ferrimagnetic spinel …

Electric dipoles of water molecules, enclosed singly in regularly spaced nanopores of a
cordierite crystal, become ordered at low temperature due to their mutual interaction and …

Binary random variables are the building blocks used to describe a large variety of systems,
from magnetic spins to financial time series and neuron activity. In statistical physics the …

We discuss the Sherrington-Kirkpatrick mean-field version of a spin glass within the
distributional zeta function method (DZFM). In the DZFM, since the dominant contribution to …