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.
Thomas J Webster
Brown University, United States
Haibo Ge
Texas Tech University, United States
Hossam A Gabbar
Ontario Tech University, Canada
Bal Ram Singh
Institute of Advanced Sciences, United States
Prabodh Satyal
Aromatic Plant Research Center, United States
Liang Xue
University of the Pacific, United States
Adwitiya Singh
The Ohio State University, United StatesSubmit 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 : Absorption and emission in organic nanostructures: Theoretical modeling
Alexander Bagaturyants, National Research Nuclear University MEPhI, Russian Federation
Title : Distal functionalization via transition metal catalysis
Haibo Ge, Texas Tech University, United States
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model through biodesign-inspired and upgraded business marketing to secure the human healthcare and biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Solar box cooker dehydration, and relative humidity endpoint detection, of lamiaceae culinary leaves on the island of Crete
Victor John Law, Technical University Dublin, Ireland
Title : Unraveling the ultrastructure and functions of the neuronal membrane skeleton using super-resolution fluorescence microscopy
Ruobo Zhou, Pennsylvania State University, United States