8th Edition of
International Conference on Materials Science and Engineering
March 10-12, 2025 | Rome, Italy
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.
Ephraim Suhir
Portland State University, United States
Richard J Spontak
North Carolina State University, United States
Harry Ruda
University of Toronto, Canada
Stanislaw Dzwigaj
Sorbonne University, France
Pelin Berik Giwa
University of Central Florida, United States
Kyu Shik Mun
Cedars-Sinai Medical Center, United States
Pedro Bamberg
RWTH Aachen University, GermanySubmit your abstract Today
Title : Probabilistic design for reliability of electronic and photonic materials, devices, packages and systems, and the role of analytical ("mathematical") modelling
Ephraim Suhir, Portland State University, United States
Title : On the versatility of charged thermoplastic elastomers in the environment, energy and healthcare sectors
Richard J Spontak, North Carolina State University, United States
Title : Evaluation of scratch resistance of Polyether Ether Ketone (PEEK) nanocomposite coatings reinforced with Ceria – effect of composition and UV-exposure
Amal Ameen Seenath, King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia
Title : Harnessing the unique transport properties of InAs nanowires for single molecule level sensing
Harry Ruda, University of Toronto, Canada
Title : Melamine-derived high-graphite carbon hollow tubular Fe-N/C catalyzed alkaline oxygen reduction reaction
Yanfang Gao, Inner Mongolia University of Technology, China
Title : Application of metal single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France