9th Edition of
International Conference on Materials Science and Engineering
March 23-25, 2026 | Singapore
Artificial Intelligence and Materials Science
Artificial Intelligence (AI) is revolutionizing the field of Materials Science and Engineering by accelerating the discovery, design, and optimization of new materials. By leveraging machine learning algorithms, AI can predict material properties, enabling researchers to identify novel materials with desired characteristics more efficiently than traditional methods. AI-driven simulations and data analysis tools are enhancing the understanding of complex material behaviors, reducing the need for costly and time-consuming experiments. This synergy between AI and materials science is particularly impactful in fields like renewable energy, electronics, and nanotechnology, where innovative materials are crucial. Ultimately, AI is paving the way for breakthroughs in material design, promising faster development of high-performance materials for diverse industrial applications.
Harry Ruda
University of Toronto, Canada
Stanislaw Dzwigaj
Sorbonne University, France
Piotr Gebara
Czestochowa University of Technology, Poland
M G H Zaidi
G B Pant University of Agriculture & Technology, India
Alain Portavoce
IM2NP/CNRS, France
Silvie Maria Tanu Halim
McMaster University, Canada
An Yi Chang
University of California San Diego, United StatesSubmit your abstract Today
Title : Application of vanadium and tantalum single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Developing novel sensing platforms using nanostructures
Harry Ruda, University of Toronto, Canada
Title : Solid state UV cross-linking for advanced manufacturing
Huang WM, Nanyang Technological University, Singapore
Title : The effect of substitution of Mn by Pd on the structure and thermomagnetic properties of the Mn1−xPdxCoGe alloys (where x = 0.03, 0.05, 0.07 and 0.1)
Piotr Gebara, Czestochowa University of Technology, Poland
Title : Evaluation of mineral jelly as suitable waterproofing material for ammonium nitrate
Ramdas Sawleram Damse, HEMRL, India
Title : The role of tunable materials in next-gen reconfigurable antenna design
Nasimuddin, Institute for Infocomm Research, A-STAR, Singapore