Symmetry in Smart Computing and Intelligent Systems

Dear Colleagues,

In recent years, the study of complex systems has evolved toward an approach that integrates computational modeling and numerical simulation, where symmetry and asymmetry play fundamental roles in both physical models and computational systems. Traditionally, this field has relied on mathematical modeling, simulations, and the development of numerical methods to understand structural changes and behaviors in systems with multiple interactions. Currently, the integration of artificial intelligence and the analysis of large-scale data enable the identification of patterns, the acceleration of simulations, and the development of more robust predictive models.  In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:  

1. AI and Computational Methods
Physics informed machine learning methods and applications;
Symmetry aware machine learning and equivariant neural networks;
Deep learning-based approaches for scientific data analysis;
Graph-based learning methods for physical and complex systems.

2. Modeling and Simulation
Advanced computational physics modeling and simulation;
Evolutionary computation;
Multiscale and hybrid physics-driven/data-driven modeling;
Monte Carlo and stochastic computational methods;
Quantum system modeling and simulation techniques.

3. Physics and Complex Systems
Phase transition and symmetry breaking analysis;
Lattice, spin, and statistical physics systems;
Data-driven discovery in computational physics;
Mathematical Foundations;
Group theoretic and symmetry-based mathematical modeling;
Invariant-based modeling and symmetry preserving algorithms;
High dimensional data analysis and numerical optimization;
Symmetry in Cyber-Physical Systems and IoT.

4. Engineering and Materials
Computational symmetry analysis in materials and structures;
AI-driven materials design and engineering systems;
Modeling of symmetric and asymmetric properties in materials.

5. Life Sciences and Chemistry
AI-based modeling of biological systems and patterns;
Symmetry in biological and ecological systems;
Biomedical data analysis and intelligent diagnostic systems;
Molecular symmetry modeling and computational chemistry;
AI-driven chemical structure and reaction analysis;
Symmetry/asymmetry in chemical systems and dynamics.

Prof. Dr. Julio Alejandro Romero Gonzalez
Prof. Dr. Diana-Margarita Córdova-Esparza
Prof. Dr. Juan R. Terven
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.