How are HPC, AI and quantum revolutionizing the emergence of new materials and their life cycle?
OPENING SPEECH
2025-04-08 | 09:30 AM - 09:50 AM
The combination of molecular modeling approaches, high-throughput digital screening, and machine learning methods now makes it possible to explore the immense diversity of possible materials more quickly and efficiently, while identifying the best candidates for targeted applications. The rapid evolution of computing capabilities and the rise of artificial intelligence tools offer an unprecedented opportunity to address a major challenge in the field of materials science: the design of tailor-made materials, particularly porous materials, perfectly adapted to the specific needs of applications such as indoor air quality control, greenhouse gas emission reduction, and heat transfer management. This paradigm shift could profoundly transform our approach to the discovery of innovative materials, to address environmental and energy challenges.
