About the Conference

The International Conference on Computational Methods and Models in Applied Sciences ICCMMA-2025 organized and hosted by Scientific Explore Publications through online on 31st May 2025 will provide a platform for researchers, academicians, industry experts, and research scholars to share their innovative ideas and varied skills on a global scale. The primary objective of the conference is to get acquainted with the upcoming challenges associated with Managment, Commerce and Financial, propose possible novel solution to the requirements in these fields for the sustainable development of the society. Original contribution from researchers describing the unpublished work and addressing the state of the art research which is not currently under review by any other conference or journal are invited to submit their work.

Call for Papers

Scope

The scope of an International Conference on Computational Methods and Models in Applied Science ICCMMA 2025 typically encompasses a wide range of topics that integrate computational techniques and computational models across various domains of applied science. Below are some key areas that such a conference might cover but not limit to:

Topics

This conference can serve as a platform for researchers, academicians, industry leaders, and practitioners to discuss and share insights related to the following areas but not limited to

Track I Computational Methods and Models in Mathematics

Solution of Equations:
Numerical methods for finding roots of equations, such as Newton's method and numerical root-finding algorithms.
Differential Equations:
Numerical solutions for ordinary differential equations (ODEs) and partial differential equations (PDEs) using methods such as finite difference, finite element, and spectral methods.
Mathematical Programming:
Techniques for linear, nonlinear, integer, and dynamic programming.
Heuristic Methods:
Genetic algorithms, simulated annealing, and other stochastic approaches for solving complex optimization problems.
Statistical Methods:
Application of computational techniques in regression analysis, hypothesis testing, and Bayesian inference.
Modeling Real-World Problems:
Using mathematical models to simulate phenomena in physics, biology, economics, and engineering.
Computational Fluid Dynamics (CFD):
The use of numerical methods to solve and analyze problems that involve fluid flows.
Algorithms for Simulation:
Development of algorithms for simulating physical systems, such as Monte Carlo simulations and molecular dynamics.
High-Performance Computing:
Leveraging parallel computing, clusters, and supercomputers to solve large-scale mathematical problems.
Cryptographic Algorithms:
Development and analysis of algorithms for secure communication.
Machine Learning:
Development of algorithms that can learn from and make predictions on data. Computational methods are essential for training models, validating them, and interpreting results.

Track II Computational Methods and Models in Physics

Quantum Mechanics:
Numerical methods such as matrix diagonalization and Monte Carlo simulations are used to solve the Schrodinger equation for complex systems.
Quantum Field Theory:
Lattice gauge theory requires computational techniques to study the properties of quantum fields on discrete space-time grids.
N-body Simulations:
These simulations are vital for studying the dynamics of galaxies and large-scale structure formation in the universe.
Hydrodynamics:
Computational fluid dynamics (CFD) is used for modeling the behavior of gases and plasmas in astrophysical contexts, such as star formation and interstellar medium dynamics.
Molecular Dynamics (MD) and Monte Carlo simulations:
These techniques are used to study the properties of materials, phase transitions, and molecular interactions.
Density Functional Theory (DFT):
Computational methods based on DFT allow for detailed electronic structure calculations of solids and molecules.
Simulations of Systems:
Monte Carlo methods are widely used to study statistical systems, such as phase transitions and critical phenomena.
Data Analysis:
Computational approaches help analyze large datasets resulting from experiments or simulations to extract meaningful physical parameters.
Fluid and Kinetic Models:
Computational methods are employed to analyze plasma behavior under various conditions, including magnetic confinement in fusion research.
Particle-in-Cell (PIC) Simulations:
Used to model the dynamics of charged particles in electromagnetic fields.
Simulations and Visualizations:
Software tools for educational purposes help illustrate complex physical phenomena, making it easier for students to grasp fundamental concepts.
Biophysics:
Computational techniques are applied to study biological systems at the molecular level, such as protein folding and interactions.
Materials Science:
Modeling the properties of new materials, especially at the nanoscale, through simulations to accelerate discoveries in material design.
High-Performance Computing (HPC)
The rise of supercomputing has enabled physicists to work with large-scale simulations that require significant computational resources, such as climate models and the simulation of fundamental particle interactions.
Data Science with Physics:
The integration of machine learning with physics is an emerging area, aiding in tasks like pattern recognition in experimental data, optimization of simulations, and even discovering new physical laws from data.

Track III Computational Methods and Modulation in Chemistry

Molecular Dynamics (MD):
Simulates the physical movements of atoms and molecules over time, aiding in the study of protein folding, enzyme reactions, and more.
Monte Carlo Methods:
Useful for sampling configurations of molecular systems, optimizing conditions for chemical reactions, and studying thermodynamic properties.
Ab Initio Methods:
These methods, based on quantum mechanics, allow for accurate calculations of electronic structures, potential energy surfaces, and molecular properties without empirical parameters.
Density Functional Theory (DFT):
Widely used for studying the electronic structure of many-body systems, DFT provides a balance between accuracy and computational cost, making it suitable for complex systems.
Structure-Activity Relationship (SAR) Modeling:
Helps in predicting the biological activity of chemical compounds based on their molecular structures.
Computational Materials Design:
Involves the prediction of material properties and behaviors, which accelerates the discovery of new polymers, catalysts, nanomaterials, and batteries.
Phase Diagrams and Thermodynamics:
Simulation helps in understanding phase transitions and stability of materials under varying conditions.
Docking Studies:
Computational docking identifies how small molecules, such as drugs, interact with target proteins, facilitating the drug design process.
Pharmacokinetics and Toxicology:
Simulations can predict drug absorption, distribution, metabolism, excretion, and potential toxicity, aiding in the design of safer drugs.
Modeling Environmental Processes:
Computational methods can simulate chemical processes in the environment, such as pollutant degradation, atmospheric chemistry, and reaction mechanisms in aqueous systems.
Collaboration with Biology and Physics:
Computational chemistry is increasingly intertwined with biology (e.g., biomolecular simulations) and physics (e.g., materials modeling), leading to breakthroughs in understanding macromolecular dysfunctions and new physical phenomena.
Methodological Advancements:
Continuous improvement of algorithms and computational power leads to the development of new methods that can tackle more complex systems while reducing computational costs.
Personalized Medicine:
Computational models are being used to tailor healthcare and drug regimens to individual patient profiles based on genetic information.
Green Chemistry:
Computational tools assist in the design of sustainable processes that minimize environmental impact and resource consumption.

Submission Guidelines

General Guidelines

The authors are inviting to submit their unpublished original Research article to this conference.
The author must give the decalartion that the submitted paper never before publish or under review in any journal or conference
The authors may be researchers, academicians, industry experts, and research scholars are invite to publish their research article in this Conference
Author can submit more than one paper
Only five athors are permitted per paper
The official conference language for all papers and presentation should be in English.
The research article must include a clear indication of the purpose of paper, major results and key references.
Any one or all author(s) of registered paper must present their original research work on day of the conference
The authors are advised that prior to check for plagiarism before submission from licensed plagiarism softwares like Turnitin/iAuthenticate etc.
The similarity content should not exceed 15%
The authors are strictly prepare the paper according to the following format for both SLOT I and SLOT II while submitting paper for publication

Guidelines to prepare Manuscript

Manuscript should be in A4 size, Single Column and follow APA Style
Manuscript should be minimum of 6 pages and maximum of 10 pages approximately, including tables, graphs, charts and References.
Manuscript text should be Times New Roman, Main Text: 10 point and justified, line space 1.5point Quotations: 9 point, indented 0.5cm left and right
Manuscript Title: 16 point, centred Author's Name: 16 point, centred Secondary Headings: 12 point, centred in bold Footnotes: 9 point and justified
Manuscript margins: Top: 2.5cm Bottom: 1.5cm Left: 2.1cm Right: 2.1cm Header: 1.5cm Footer: 0
The first page of the manuscript should have the title of the papers, name of the author(s), affiliation, and E-Mail address
Please do not indicate author name, affiliation, or any other such information in the manuscript elsewhere.
The abstract in the manuscript should have of 300 to 400 words
There will be minimum 3 to 5 keywords allowed
References should be arranged in alphabetical order
Authors are strictly informed that upload only word document

Peer Review Process

Authors must submit their papers according to the conference's specified format and guidelines by a designated deadline.
Submitted papers may undergo an initial review for adherence to submission guidelines by the Conference Editor, relevance to the conference theme, and overall quality. Papers that don't meet basic criteria may be desk-rejected.
The paper prior to review should be checked for plagiarism from licensed plagiarism softwares like Turnitin/iAuthenticate etc. The similarity content should not exceed 15%
Papers that pass the initial screening are assigned to reviewers who are experts in the relevant field. Reviewers are often selected based on their expertise and familiarity with the topic.
The conference follow the double-blind review process, meaning both the authors and reviewers remain anonymous to each other to ensure impartiality
Reviewers evaluate submissions based on defined criteria, which may include originality, significance, methodology, clarity, and relevance to the conference.
Reviewers provide detailed feedback, suggesting revisions and improvements. They may recommend acceptance, major/minor revisions, or rejection of the paper.
The conference Editor review the feedback and make final decisions regarding each submission. Authors are then notified of the decision.
If a paper is conditionally accepted (requiring revisions), authors must make the necessary changes and resubmit by a given deadline for further review.
Papers that are accepted (with or without revisions) are included in the conference program and published in conference proceedings, if applicable.

Plagiarism Policy

All submitted papers must represent original work and should not have been published in any conference/journal or simultaneously submitted elsewhere. The use of another's ideas, words, data, or anywork without proper attribution constitutes plagiarism and is strictly prohibited.
Submissions will be screened using plagiarism detection licensed software like Turnitin/iAuthenticate etc. The similarity content should not exceed 15%. Any submission found to contain plagiarized content may be rejected without review.
We encourage authors to familiarize themselves with ethical writing practices and to cite sources accurately. By submitting your work, you affirm that it adheres to these guidelines.

Committees

General Chair

G. Bharathi Rathika
Publisher
Scientific Explore Publications, Madurai, Tamil Nadu, India

Conference Editor Chair

Dr.C. Andal
Professor in Physics, Dr. M.G.R. Educational & Research Institute, Chennai, Tamil Nadu, India

Dr.R. Singaravelan
Associate Professor in Chemistry, SIMATS Engineering,Chennai, Tamil Nadu, India

Advisory Committee

Dr.J. Muthukumaran
Associate Professor,Sharda School of Bio-Science and Technology, Sharda University, P.C. 201310 Greater Noida, UP, India.