This event, held in Barcelona, brought together a wide range of experts in the field of Artificial Intelligence and its application in research and materials science.
From 2 to 4 July, Barcelona hosted the first edition of the AI4AM Conference on Artificial Intelligence for Advanced Materials. The event brought together the most important scientific personalities in this area, with a strong presence of ICN2 researchers, both in the organising and scientific committees and in the different talks and posters presentations.
According to the organisers, AI4AM2024 is a new interdisciplinary international event that gathers top experts from industry and research centres using artificial intelligence, including machine learning, deep learning and neural networks. Additionally, the event aims to enhance discoveries in materials science and provides an opportunity for experts to explore the latest innovations, discuss practical challenges and share solutions in applying AI for breakthrough advances in materials science and engineering.
ICN2's participation in this conference started from the organisation itself, as ICREA Prof. Pablo Ordejón, Director of ICN2 and Head of the Theory and Simulation Group, was a member of the International Scientific Committee. In addition, ICREA Prof. Stephan Roche, leader of the Theoretical and Computational Nanoscience Group, was a member of the Organising Committee and participated as a speaker at the Future of Materials round table.
Here are some of the talks and poster presentations delivered by ICN2 researchers:
- AI-powered prediction of materials (ICREA Prof. Stephan Roche, Andrei Tomut)
- Learning the Density Matrix, as Symmetry Rich Encoding of the Electron Density (Pol Febrer)
- LatMatcher – AI-Powered Tool for 2D Material Stacking and Property Prediction (Andrei Tomut)
- Automatic Detection of W Vacancies in WS2 through CNN (Iván Pinto)
- A Systematic Analysis of Amorphous Boron Nitride Films using Gaussian Approximation Potentials (Onurcan Kaya)
- Exploring Quantum Property-Data Correlations in Metal Organic Frameworks using Unsupervised Learning (José Hugo Aguilar)
- Colossal Quantum Transport Anisotropy in Nanoporous Graphenes at Room Temperature (Isaac Alcón)
The conference also gathered participation from partners of the EU-funded project MaX - Materials at the eXascale, where ICN2 plays a pivotal role as a consortium member.
As a European Centre of Excellence for HPC applications, MaX aims to promote the use of upcoming exascale and extreme performance computing capabilities by scaling up existing parallel codes towards exascale scaling performance.
Find more information about MaX and its participation in the conference here.
Given the great success of this first edition, ICN2 looks forward to AI4AM becoming a leading event in the sector and eagerly anticipates our participation in future editions.