Hybrid Conferencee

International Conference on Computational Materials Science and Simulation (ICCMSAS - 27)

13th - 14th February 2027 | Dhaka, Bangladesh
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Expand the Academic Reach of Your Research - a Q1-ranked and Scopus-indexed journal publication opportunity

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Dhaka. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Dhaka event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Dhaka conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dhaka, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Dhaka."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Computational Materials Science

This track focuses on the latest methodologies and techniques in computational materials science. Contributions will explore innovative simulations and modeling approaches that enhance our understanding of material properties.

Track 02

Machine Learning Applications in Material Design

This session will delve into the integration of machine learning techniques in the design and optimization of new materials. Papers will highlight case studies and algorithms that demonstrate the efficacy of AI in material discovery.

Track 03

Statistical Methods in Computational Science

This track will cover the application of statistical analysis in computational science, emphasizing the importance of robust data interpretation. Researchers are invited to present novel statistical techniques that improve simulation accuracy.

Track 04

Big Data Analytics in Materials Research

This session will explore the role of big data analytics in the field of materials science. Discussions will focus on methodologies for handling large datasets and extracting meaningful insights from complex material systems.

Track 05

Optimization Techniques in Material Simulation

This track aims to present optimization strategies that enhance the efficiency of material simulations. Contributions will discuss algorithmic advancements and their applications in real-world engineering problems.

Track 06

Quantum Materials and Computational Approaches

This session will investigate the computational techniques used to study quantum materials. Papers will address the challenges and breakthroughs in simulating quantum phenomena and their implications for material science.

Track 07

Nanotechnology and Computational Modeling

This track will focus on the computational modeling of nanomaterials and their applications. Researchers are encouraged to present studies that bridge the gap between theoretical predictions and experimental validations.

Track 08

High-Performance Computing in Material Simulations

This session will highlight the role of high-performance computing in advancing material simulations. Contributions will showcase the use of supercomputing resources to tackle complex material science problems.

Track 09

Algorithms for Material Property Prediction

This track will explore innovative algorithms designed for predicting material properties. Papers will discuss the development and validation of predictive models that enhance material selection processes.

Track 10

Numerical Methods in Computational Materials Science

This session will cover the latest numerical methods applied in computational materials science. Researchers are invited to present advancements that improve the accuracy and efficiency of numerical simulations.

Track 11

Automation in Materials Research and Development

This track will focus on the automation of processes in materials research and development. Discussions will include the integration of automated systems in experimental setups and data analysis workflows.