Abstract Mn 0.1 Mg 0.2 (Co, Ni, Zn) 0.7 Fe 2 O 4 compounds with particles sizes ranging
between 11 nm and 17 nm were successfully synthesised by hydrothermal process. These …

The extraordinary success of Machine Learning (ML) in many complex heuristic fields has
promoted its introduction in more analytical engineering fields, improving or substituting …

The analysis and optimization of devices with soft magnetic cores, such as inductive sensors
and electric machines, rely on a simple and precise modelling of their nonlinear anhysteretic …

In this paper we introduce a novel approach to obtain the stored energy density of rubber-
like materials directly from experimental data. The model is structure-based, in which the …

Magnetic properties of hard magnets are currently attracting a great deal of attention. In the
paper, the modified Harrison model was used to describe the saturating hysteresis loops of …

Based on our recent findings on the chains orientational distribution in deformed rubber-like
materials, we present a novel, accurate and simple non-affine model for isotropic …

Elastomeric materials and soft biological tissues are made up of synthetic and protein fibers,
respectively. The uncoiling of these fibers during loading produces a non-linear elastic …

Energy-conservative, hyperelastic solids assume the existence of a stored energy density
which relates stresses and strains for any deformation state. The usual approach to model …

The formulation of the entropic statistical theory and the related neo-Hookean model has
been a major advance in the modeling of rubber-like materials, but the failure to explain …

This paper details an analytical framework, based on an intermediate function, which
facilitates analytical approximations for the inverse Langevin function—a function without an …