9th Edition of
International Conference on Materials Science and Engineering
March 23-25, 2026 | Singapore
Computational Materials Science
Computational Materials Science is an interdisciplinary field that uses computer simulations and models to understand and predict the properties and behavior of materials. By leveraging techniques like density functional theory, molecular dynamics, and Monte Carlo simulations, researchers can explore atomic-level structures and interactions. This enables the design of novel materials with tailored properties for specific applications, such as lightweight alloys, energy-efficient semiconductors, or advanced polymers. Computational tools also help in optimizing manufacturing processes and reducing the need for costly and time-consuming experimental trials. As the demand for sustainable and high-performance materials grows, computational materials science plays a pivotal role in accelerating innovation and bridging the gap between theoretical predictions and practical material development.
Stanislaw Dzwigaj
Sorbonne University, France
Harry Ruda
University of Toronto, Canada
Piotr Gebara
Politechnika Czestochowska, PolandSubmit your abstract Today
Title : Determination of phase stress flow curves in dual phase steels through micromechanical adaptive iteration algorithm
Silvie Maria Tanu Halim , McMaster University, Canada
Title : Failure analysis of 70cr2 steel grinding balls in mineral processing; Microstructural and heat treatment effects on the failure of 70cr2 steel grinding balls
Mohammad Pourgharibshahi, Sirjan University of Technology, Iran (Islamic Republic of)
Title : Modeling phase crystallization in ge-rich ge-sb-te pcrams
Alain Portavoce, IM2NP, France
Title : Advancements of ai & ml in material science
M Vishnu Vardhan, Sri Vasavi Engineering College, India
Title : Process parameters optimization and mechanical properties of additively manufactured ankle-foot orthoses based on polypropylene
Mohamed Yousfi, INSA Lyon, IMP Laboratory, France
Title : Piezoelectric materials for biomedical sensing and actuation
Shradha Saxena, Jaypee Institute of Information Technology, India