Artificial Intelligence (AI) and Machine Learning (ML) are transforming catalysis by providing innovative approaches to accelerate catalyst discovery, optimization, and understanding reaction mechanisms. AI and ML's ability to process vast data enables efficient analysis of complex catalytic systems, offering insights that would be difficult to obtain through traditional methods. One of the primary applications of Artificial Intelligence and Machine Learning in catalysis is the design of new catalysts with enhanced performance. By utilizing machine learning algorithms, researchers can predict catalyst properties based on molecular structure, identifying key features that improve efficiency. Additionally, AI and ML are revolutionizing the study of reaction mechanisms by modeling complex catalytic cycles and transition states, leading to more selective and efficient processes. As AI and ML technologies advance, they will continue to play a crucial role in developing more sustainable and cost-effective catalytic processes for industrial applications.
Title : Design of efficient and stable structured catalysts for biofuels transformation into syngas by using advanced technologies of nanocomposite active components synthesis, supporting on heat conducting substrates and sintering
Vladislav Sadykov, Boreskov Institute of Catalysis and Novosibirsk State University, Russian Federation
Title : Application of vanadium, tantalum and chromium single-site zeolites in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Solar box recovery of mixed-wax candle fragments and their reuse on the island of Crete
Victor John Law, Technical University Dublin, Ireland
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model through bi-odesign-inspired bio- and chemical engineering applications to secure the human healthcare and biosafety: Engineering of biocatalysts - from evolution to creation
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Empowering a sustainable future by biomass conversion on single atom catalysis
Malayil Gopalan Sibi, VSB-Technical University of Ostrava, Czech Republic
Title : Catalytic potential of biochar derived from heavy-metal-contaminated biomass
Enrico Paris, CREA-IT, Italy