Accurate and fast characterization of hysteretic systems can accelerate progress in fields as diverse biomedicine, sensors, data storage, logic devices. Here, we introduce a approach to determine magnetic parameters (intrinsic coercivities elementary domains, interaction between the variances both) bistable systems. The uses first few points first-order reversal curves (FORC) mathematically emp...

Biogenic magnetic minerals produced by magnetotactic bacteria occur ubiquitously in natural aquatic environments. Their identification and characterization are important for interpretation of paleomagnetic and environmental magnetic records. We compare two magnetic methods for their identification and characterization in a diverse set of sedimentary environments: ferromagnetic resonance (FMR) s...

The first-order reversal curve (FORC) method for analysis of systems undergoing hysteresis is applied to dynamical models of electrochemical adsorption. In this setting, the method can not only differentiate between discontinuous and continuous phase transitions, but can also quite accurately recover equilibrium behavior from dynamic analysis for systems with a continuous phase transition. Disc...

In this work we present a detailed study showing the importance of Kubelka-Munk (KM) correction in analysis diffuse reflectivity measurements to characterize spin crossover compounds. Combined reflectance and magnetic susceptibility are carried out as function temperature or time highlight conditions under which becomes critical. particular, investigate influence color contrast between two stat...

The doped perovskite cobaltite La1−xSrxCoO3 LSCO has been advanced as a model system for studying intrinsic magnetic phase separation. We have employed a first-order reversal curve FORC method to probe the amount of irreversible switching in bulk polycrystalline LSCO as a function of Sr doping, field cooling procedure, and temperature. The value of the FORC distribution is used as a measure of ...

The dynamics near firstand second-order phase transitions in a two-dimensional lattice-gas model are compared using the first-order reversal curve (FORC) method. The FORC diagram of a first-order transition is characterized by a negative region separating two positive regions, reflecting a competition between the time-varying electrochemical potential and the tendency of the system to phase order.

Early lesion and physiological studies established the key contributions of the cerebellar cortex and fastigial deep nuclei in maintaining the accuracy of saccades. Recent evidence has demonstrated that fastigial oculomotor region cells (FORCs) provide commands that are critical both for driving and braking saccades. Modeling studies have largely ignored the mechanisms by which the FORC activit...