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.
Thomas J Webster
Interstellar Therapeutics, United States
Sergey Suchkov
R&D Director of the National Center for Human Photosynthesis, Mexico
Christopher Koroneos
University of Western Attica, Greece
Haibo Ge
Texas Tech University, United States
Valery P Kalinitchenko
All Russian Phytopathology Research Institute, Russian Federation
Osman Adiguzel
Firat University, Turkey
Delia Teresa Sponza
Dokuz Eylul University, Turkey
Collin G Joseph
Universiti Malaysia Sabah, Malaysia
Guangnan Ou
Jimei University, ChinaSubmit your abstract Today
Title : Using cells as the environmentally catalyst for nanoparticle synthesis: Killing bacteria, inhibiting inflammation, and growing tissues
Thomas J Webster, Interstellar Therapeutics, United States
Title : Chemical soil biological engineering and biogeosystem technique methodology
Valery P Kalinitchenko, All Russian Phytopathology Research Institute, Russian Federation
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model to be set up through biodesign-inspired biotech-driven translational applications and upgraded business marketing to secure the human healthcare, wellness and biosafety
Sergey Suchkov, R&D Director of the National Center for Human Photosynthesis, Mexico
Title : Shape memory phenomena and crystallographic transformations in shape memory alloys
Osman Adiguzel, Firat University, Turkey
Title : Antibody-proteases as translational tools of the next-step generation to be applied for biotech, bioindustry and personalized and precision medical practice
Sergey Suchkov, R&D Director of the National Center for Human Photosynthesis, Mexico
Title : Photoremoval of some brominated phenols (4-bromophenol and 2,4,6-tribromophenol) with reused polystyrene foam and SnO2
Delia Teresa Sponza, Dokuz Eylul University, Turkey
Title : Phenol removal from wastewater using innovative biological and industrial wastes as adsorbents
Ashanendu Mandal, University of Calcutta, India
Title : Remediation of detergent wastewater using catalytic and non-catalytic ozone gas treatment: Current updates and future directions
Collin G Joseph, Universiti Malaysia Sabah, Malaysia
Title : Construction of artificial metalloenzymes by protein refolding
Guangnan Ou, Jimei University, China
Title : Boom of nanomaterials in environmental remediation
Vijendra Singh Solanki, Institute of Science and Research, India