CONFERENCE SCOPE:
Machine learning in nanotechnology
INSTITUTION:
Federal University of São Paulo, Brazil
TITLE:
How Artificial Intelligence is Changing Materials Design
ABSTRACT:
For decades, the search for new materials has been a slow and expensive process, limited by the pace of hands-on lab work. This approach has become a significant obstacle, hindering the discovery of advanced materials essential for next-generation nanotechnologies. In this talk, I will explore how Artificial Intelligence (AI) is changing the rules, accelerating the entire process from initial concept to real-world application. First, we will explore how machine learning models can rapidly and accurately predict a material’s properties, enabling the screening of millions of candidates virtually. I will also discuss how data mining and Large Language Models (LLMs) can be used to extract valuable insights and data from decades of scientific literature. Next, our focus will be on the rise of generative models. These AI systems go beyond simple screening and can design completely novel materials from the ground up, tailored for specific functions. Ultimately, these AI-driven methods represent more than just an upgrade to our existing tools; they are prompting a fundamental shift in how we imagine and invent the materials of the future.
BIO:
Marcos G. Quiles is an Associate Professor at the Department of Science and Technology, Federal University of São Paulo, Brazil. He received his BS degree, with honors, in 2003 from the State University of Londrina, Brazil, and his M.Sc. and Ph.D. degrees in Computer Science from the University of São Paulo, Brazil, in 2004 and 2009, respectively. From January to July of 2008, Quiles was a Visiting Scholar in the Perception and Neurodynamics Lab at The Ohio State University, Columbus, OH, US. From January to December of 2017, Quiles was an Academic Visitor at the University of York, York, UK. He was awarded a Brazilian research productivity fellowship from the Brazilian National Research Council (CNPq). Currently, at the Center for Innovation on New Energies (CINE), he serves as a Co-PI of the Computational Materials Design Division (CMD) and leads the center’s artificial intelligence development. CINE is a research center funded by Fapesp and Shell.