Author(s):
1. Igor Hut, Serbia
2. Katarina Čolić, Innovation Center of the Faculty of Mechanical Engineering, University of Belgrade, Serbia

Abstract:
The integration of artificial intelligence (AI) and machine learning has sparked a transformative shift in the realm of biomaterials research. With the pressing need for sustainable solutions, AI's potential in guiding material design and innovation has gained significant attention. This paper explores the pivotal role of AI in generating new, eco-friendly, and economically viable biomaterials. Numerous applications demand materials with precise physical properties, prompting researchers to harness AI's predictive capabilities to identify promising molecular configurations. The marriage of AI and sustainable design is exemplified by the evolution of compounds, such as environmentally friendly 'Photoacid generators' (PAGs) in microchip manufacturing. AI-guided molecular design and optimization present a promising route to greener alternatives. The convergence of AI and synthetic biology opens avenues to predict the properties of novel molecules, revolutionizing high-value chemical production through microbes. Collaborations between industry and academia are fostering the refinement of AI software and expanding material databases for training purposes. This paper delves into these collaborative efforts, showcasing their pivotal role in accelerating AI-driven material innovation. AI's integration into biomaterials research is propelling the field toward sustainable, innovative, and efficient material design. This paper provides an in-depth exploration of AI's applications, impact, and potential challenges in advancing biomaterials science.

Key words:
Artificial intelligence (AI),Machine learning,Material design,Biomaterials

Thematic field:
SYMPOSIUM B - Biomaterials and nanomedicine

Date of abstract submission:
23.08.2023.

Conference:
Contemporary Materials 2023 - Savremeni materijali

Abstract