6th Edition of
Chemistry World Conference
June 18-20, 2026 | Barcelona, Spain
AI & Machine Learning in Chemistry
Advancements in AI & machine learning in chemistry are revolutionizing research by enhancing reaction predictions, material design, and drug discovery. Machine learning models analyze vast chemical datasets, accelerating compound screening and reaction optimization. AI-driven simulations reduce trial-and-error in experiments, making chemical processes more efficient and sustainable. Neural networks and predictive algorithms improve molecular modeling, enabling precise identification of novel compounds. Automation in data analysis streamlines workflows in spectroscopy, chromatography, and synthesis. The integration of AI with experimental chemistry fosters innovation across multiple fields, from pharmaceuticals to green chemistry. As computational power grows, machine learning continues to reshape chemical research, driving faster discoveries and smarter, data-driven solutions.
Alexander Bagaturyants
Retired, Israel
Hossam A Gabbar
Ontario Tech University, Canada
Thomas J Webster
Brown University, United States
Sergey Suchkov
National Center for Human Photosynthesis, Aguascalientes, Mexico
Shree Niwas Chaturvedi
Centre for Aptitude Analysis and Talent Search, India
Dan Kroll
Iowa State University, United States
Susanne Naf Rudiger
Hamilton Bonaduz AG, SwitzerlandSubmit your abstract Today
Title : Eliminating implant failure in humans with nano chemistry: 30,000 cases and counting
Thomas J Webster, Brown University, United States
Title : Nutrient and heavy metal loads from the Ribeiras to Coastal zones: A land-ocean continuum perspective in Madeira Island
Aracelis Del Carmen Narayan Rajnauth, University of Porto, Portugal
Title : Synthesis, ADMET, PASS, molecular docking, and dynamics simulation investigation of novel octanoyl glucoopyranosides & valeroyl ribofuranoside esters.
Hasinul Babu, University of Chittagong, Bangladesh
Title : Advances in plasma-based radioactive waste treatment
Hossam A Gabbar, Ontario Tech University, Canada
Title : Molecularly imprinted polymer-bimetallic nanoparticle based electrochemical sensor for dual detection of phenol iosmers micopollutants in water
Melkamu Biyana Regasa, Wollega University, Ethiopia
Title : Applying an external bias in XPS as a means to obtain additional information about materials
Alexander Pereyaslavtsev , SUE VNIIA, Russian Federation