AI4AM2024 is a cross-disciplinary international event that brings together top experts from industry and research institutions utilizing Artificial Intelligence, including machine learning, deep learning, and neural networks. The event aims to enhance discoveries in materials science by refining automated designs for both structural and electronic material models in engineering. It focuses on improving interoperability among material databases and reverse material engineering.

This platform offers experts an opportunity to delve into the latest innovations, discuss practical challenges, and share solutions in applying AI for groundbreaking advancements in material science and engineering. It covers targeted applications in electronics, composites, energy, (bio)medicine, quantum computing, and related fields.

ICN2 involved researchers:

• Prof. Stephan Roche, Theoretical and Comptutaional Nanoscience Group Leader - Organising Committee
• Prof. Pablo Ordejón, Director and Theory and Simulation Group Leader - International Scientific Committee
• Prof. Jordi Arbiol, Advanced Electron Nanoscopy Group Leader - "AI automated workflow for advanced materials end-to-end study: from atomic scale (S)TEM data analysis and modelling to theoretical simulations" - Invited Speaker

MORE INFORMATION about Abstract Submission and Registration