Emergence of a bicritical end point in the random-crystal-field Blume-Capel model.

Phys Rev E

School of Physical Sciences, National Institute of Science Education and Research, Jatni 752050, India and Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, Mumbai 400094, India.

Published: April 2020

We obtain the phase diagram for the Blume-Capel model with the bimodal distribution for random crystal fields, in the space of three fields: temperature (T), crystal field (Δ), and magnetic field (H) on a fully connected graph. We find three different topologies for the phase diagram, depending on the strength of disorder. Three critical lines meet at a tricritical point only for weak disorder. As disorder strength increases there is no tricritical point in the phase diagram. We instead find a bicritical end point, where only two of the critical lines meet on a first-order surface in the H=0 plane. For intermediate strengths of disorder, the phase diagram has critical end points along with the bicritical end point. One needs to look at the phase diagram in the space of three fields to identify various such multicritical points.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.101.042125DOI Listing

Publication Analysis

Top Keywords

phase diagram
20
bicritical point
12
blume-capel model
8
space three
8
three fields
8
critical lines
8
lines meet
8
tricritical point
8
point phase
8
point
5

Similar Publications

Carbon steel and low alloy steel are pearlitic heat-resistant steels with a lamellar microstructure. There are good mechanical properties and are widely used in crucial components of high-temperature pressure. However, long-term service in high-temperature environments can easily lead to material degradation, including spheroidization, graphitization, and thermal aging.

View Article and Find Full Text PDF

CO flooding plays a crucial role in enhancing oil recovery and achieving carbon reduction targets, particularly in unconventional reservoirs with complex pore structures. The phase behavior of CO and hydrocarbons at different scales significantly affects oil recovery efficiency, yet its underlying mechanisms remain insufficiently understood. This study improves existing thermodynamic models by introducing Helmholtz free energy as a convergence criterion and incorporating adsorption effects in micro- and nano-scale pores.

View Article and Find Full Text PDF

Crystal Structure and Magnetic Properties of the Novel Compound ErMnGe.

Materials (Basel)

January 2025

MOE Key Laboratory of New Processing Technology for Nonferrous Metals and Materials, School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China.

The RE-M-Ge systems (RE: rare earths, M: transition group elements) contain a large number of compounds with special magnetic properties. A novel compound ErMnGe was found during the investigation on the phase diagram of the Er-Mn-Ge ternary system, and its crystal structure and magnetic properties were investigated. Powder X-ray diffraction results show that ErMnGe crystallizes in an orthorhombic YNiSi-type structure with the space group Pnma (No.

View Article and Find Full Text PDF

Determination of the Entire Existence Composition Range of CrMnFeCoNi High-Entropy Alloys Using Sintered Diffusion Multiple Method.

Materials (Basel)

January 2025

Graduate School of Science and Engineering, Ibaraki University, 4-12-1 Nakanarusawa, Hitachi 316-8511, Ibaraki, Japan.

The sintered diffusion multiple (SDM) method, which has been developed in our research group, has been applied to determine the entire composition range of the CrMnFeCoNi high-entropy alloy stereoscopically and continuously over nearly the entire range. The samples were prepared by sintering mixed elemental powders and were annealed at 970 °C or 800 °C. Several hundreds of thousands of points were analyzed at random within the samples for chemical compositions using electron probe microanalysis.

View Article and Find Full Text PDF

Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals.

Diagnostics (Basel)

January 2025

Department of Digital Forensics Engineering, Technology Faculty, Firat University, Elazig 23119, Turkey.

Electroencephalography (EEG) signal-based machine learning models are among the most cost-effective methods for information retrieval. In this context, we aimed to investigate the cortical activities of psychotic criminal subjects by deploying an explainable feature engineering (XFE) model using an EEG psychotic criminal dataset. In this study, a new EEG psychotic criminal dataset was curated, containing EEG signals from psychotic criminal and control groups.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!