Artificial Intelligence and Machine Learning in catalysis are revolutionizing the field by providing powerful tools to predict, analyze, and optimize catalytic processes with unprecedented speed and precision. These technologies enable the handling of vast datasets, allowing researchers to uncover patterns and correlations in reaction mechanisms that were previously difficult to identify. One of the primary applications of Artificial Intelligence and Machine Learning in catalysis lies in the discovery and design of new catalysts. By training machine learning algorithms on existing data from previous catalytic reactions, these models can predict the properties and performance of potential catalysts, eliminating the need for costly and time-consuming trial-and-error experimentation. This predictive capability accelerates the identification of promising catalyst candidates, thereby expediting the catalyst development process.
Alexander G Ramm
Kansas State University, United States
Thomas J Webster
Interstellar Therapeutics, United States
Stanislaw Dzwigaj
Sorbonne University, France
Stanislaw Dzwigaj
Sorbonne University, France
Anne M Gaffney
University of South Carolina, United States
Delia Teresa Sponza
Dokuz Eylul University, Turkey
Ji Wang
Ningbo University, China
Ziyi Zhong
Guangdong Technion-Israel Institute of Technology, China
Evgeniya N Vlasova
Boreskov Institute of Catalysis SB RAS, Russian Federation
Title : Basic lattice reactions in memory behavior of shape memory alloys
Osman Adiguzel, Firat University, Turkey
Title : Application of metal single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Bioelectrocatalytic materials based on buckypapers and biosourced glyconanoparticles
Serge Cosnier, Universie Grenoble Alpes, France
Title : Human nanomedicine: Catalysts for improving health in the clinic
Thomas J Webster, Interstellar Therapeutics, United States
Title : Solution of the millennium problem concerning the Navier-Stokes equations
Alexander G Ramm, Kansas State University, United States
Title : Distal functionalization via transition metal catalysis
Haibo Ge, Texas Tech University, United States
Title : Plastic Trash to Monomers and Intermediates – PTMI
Anne M Gaffney, University of South Carolina, United States
Title : Role of supplemented nutrients and intermediate temperature on bio-methane generation from anaerobic digestion of agricultural waste: Feasibility & Fertilizer recovery
Md Nurul Islam Siddique, University Malaysia Terengganu, Malaysia
Title : CO2 hydrogenation to methanol over Cu/TiO2 catalysts: The role of oxygen vacancies in CO2 activation
Ziyi Zhong, Guangdong Technion-Israel Institute of Technology, China
Title : Highly rotationally excited N2 of N2O dissociation on Pd(110) surface
Zibo Zhao, Max Planck Institute for Multidisciplinary Sciences, China