Session

DescriptionThis symposium, titled "AI and Nanotechnology: Leveraging Computational Advances for Environmental Sustainability", will explore how the synergy between Artificial Intelligence (AI) and nanotechnology can drive innovative solutions to pressing environmental challenges. The event will focus on the integration of data-driven tools, computational modeling, and nanomaterials in addressing critical sustainability issues. Key topics include accelerating catalyst design with data-driven tools, highlighting how AI-enabled molecular modeling can expedite the development of efficient and sustainable catalysts. Another important focus will be the role of AI and molecular modeling in phosphorus sustainability, ensuring more effective use of this vital resource in environmental systems. The symposium will also delve into data-driven discovery of Fe(III)-based spin-crossover systems, demonstrating how AI-driven approaches can enhance the design of advanced materials with tunable properties. Additionally, participants will discuss cutting-edge strategies for combating contamination by harnessing nanoparticles and leveraging AI to optimize remediation techniques. By bringing together leading experts from diverse disciplines, this symposium offers a platform for collaboration, knowledge exchange, and the development of actionable solutions. Through these discussions, participants will contribute to advancing AI and nanotechnology innovations aimed at achieving a sustainable future and addressing key United Nations Sustainable Development Goals (SDGs).