Several researchers from the ICN2 participated in talks, poster sessions and round-table discussions at last week's international conference in Madrid. This event is establishing itself as a key meeting point in the fields of artificial intelligence and materials science.
From 19 to 21 April, Madrid hosted the latest edition of the Artificial Intelligence for Advanced Materials (AI4AM) conference. Now in its third year, this event explores how artificial intelligence tools can accelerate advances and discoveries in materials science and engineering. The event was attended by researchers and representatives from academia and industry. ICN2 had a strong presence at the conference and is one of its organising institutions alongside the Phantoms Foundation, the Donostia International Physics Center (DIPC), the National University of Singapore, and Constructor Tech.
Throughout the conference, ICN2 researchers presented a wide variety of results covering several areas, including magnetic materials, spectroscopy techniques, and atomistic simulations. Contributions included:
- Dorye L. Esteras delivered the lecture: Modelling and Simulation of Magnetic Materials via AI-Driven Workflows.
- Dr Emigdio Chavez Angel presented the talk: Machine Learning-Assisted Detection of Water Contaminants Using Conventional Raman Spectroscopy
- Dr Onurcan Kaya presented the talk: Revealing Structure-Property Relationships in Amorphous Boron Nitride Using Machine-Learned Potentials
- ICREA Prof. Stephan Roche moderated the round table “AI for IAM in Europe, South Korea and USA”.
ICN2 was also represented in the poster sessions by Dr Susi Cuccurullo, Josep Cruañes Giner, Francisco Antonio Molina, and Adam Coxson.
Beyond the scientific programme, Prof. Stephan Roche was also part of the Organising Committee, while CSIC Prof. Pablo Ordejón participated in the International Scientific Committee. In addition, ICN2 spin-off APEIRON Intelligence participated in the conference exhibition area, engaging with attendees and presenting its latest developments and services.
The conference highlighted the growing convergence of data science, simulation and high-performance computing as essential tools for understanding and designing next-generation materials for applications ranging from electronics and energy to biomedicine and quantum technologies.