AI-Driven Experimental Research in Nanomaterials

Dr. Ramachandra Naik is a distinguished Associate Professor of Physics at New Horizon College of Engineering, Bangalore, India, recognized among the World’s Top 2% Scientists (Stanford University & Elsevier). A Fellow of the Royal Society of Chemistry (FRSC), he brings over 14 years of research and teaching experience in nanoscience and energy materials. Dr. Naik has authored six books, edited two volumes, and published 84 research/review articles, conference papers, and book chapters in leading international journals. His research focuses on the green synthesis of multifunctional inorganic metal oxide-based nanomaterials for advanced energy storage, catalysis, and sensor applications.Dr. H. P. Nagaswarupa is a Professor in the Department of Studies in Chemistry at Davangere University, India, and a Fellow of the Royal Society of Chemistry (FRSC). With an academic career spanning over two decades, he has published more than 180 papers in reputed national and international journals. His prolific research encompasses Nanoscience & Technology, Materials Science, and Corrosion Science, and he is widely recognized for his contributions to the development of functional nanomaterials and surface-engineered coatings.Dr. Ganesh Koyyada is an Assistant Professor at Yeungnam University, South Korea, where he has served since 2017. He earned his Ph.D. in Chemical Science from the Indian Institute of Chemical Technology (IICT), Hyderabad, India. His research focuses on photocatalytic and photoelectrochemical water splitting, the design and synthesis of porous materials, non-enzymatic biosensors, and dye-sensitized solar cells. Dr. Koyyada has received several honors, including the Senior Research Fellowship from the Council of Scientific and Industrial Research (CSIR), Government of India, and serves as a guest editor for special issues in reputed international journals.

• Introduction to AI-Driven Experimental Research in Nanomaterials.- Basics of AI and Machine Learning-Data Acquisition, Curation, and Preprocessing for Nanomaterials.- Synthesis Pathways for Nanomaterial using AI.- Automated Characterization Techniques and Data Interpretation.- Green Synthesis and Characterization of High-Purity Metal Oxide Nanocatalysts.- Water Splitting and Hydrogen Evolution with Pure Metal Oxide/Sulfide Catalysts.- Synthesis of High-Purity Metal Oxide Nanomaterials for Supercapacitors.- Carbon-Based Materials for High-Power Storage.- Design and Development of Nanomaterials-Based Sensors for Biomedical Applications.- Design and development of nanomaterials-based sensors for environmental application.- Machine Learning for Materials Discovery- Roadmap for Next-Generation AI-Nanomaterials Research.- Emerging Horizons - Responsible AI-Driven Nanomaterials Research, Policy, and Education.