Ali Najafzadeh Presented Research at AI4AM 2026 Conference in Madrid

Dr. Ali Najafzadeh from VILA department participated in the AI4AM 2026 (Artificial Intelligence for Advanced Materials) conference held in Madrid, Spain, where he presented his research titled “Impact-Damage Resistance of Pharmaceutical Glass Vials via FEM–Machine Learning Co-Design”. The work was co-authored by Khush Bakht Awar, Ali Talimian, M. Nosko, and Dušan Galusek.

AI4AM 2026 brought together leading researchers, scientists, and industry experts to discuss the latest developments in the application of artificial intelligence in materials science and engineering. The conference focused on the use of machine learning, deep learning, and neural networks to accelerate discoveries and optimize material design across various engineering fields.

The presented research explored innovative approaches combining finite element modeling (FEM) and machine learning to improve the impact-damage resistance of pharmaceutical glass vials. The study contributes to advancing smarter and more reliable material designmethodologies for pharmaceutical applications.

AI4AM2026 is a cross-disciplinary international event dedicated to fostering collaboration between academia and industry in the field of AI-driven materials engineering. The conference addressed topics such as automated material design, interoperability of material databases, reverse material engineering, and targeted applications in electronics, composites, energy, biomedicine, quantum computing, and related areas.

The event also provided an important platform for networking, scientific exchange, and the development of future industrial partnerships.

This participation was supported by the European Union’s NextGenerationEU initiative through the Recovery and Resilience Plan for Slovakia under Project No. 09I03–03-V04–00196.