Chair
Prof. Dr. Siriporn Jungsuttiwong (UBU 
)
Co-Chairs
Dr. Supawadee Namuangruk (NANOTEC )
Dr. Itthi Chatnuntawech (NANOTEC )
This session brings together cutting-edge research at the intersection of nanotechnology, computational modeling, and artificial intelligence. It aims to highlight how data-driven approaches and advanced simulations accelerate the design, discovery, and optimization of nanomaterials and nanoscale devices. In addition to computational methods, the session will foster interdisciplinary dialogue to tackle complex challenges in nanoscience. Contributions that integrate machine learning, big data analytics, and multiscale modeling in nanotechnology are especially welcome.
Session Themes
Topics in this session include but are not limited to:
- Materials computational methods
- Multiscale modeling of nanoscale systems
- High-throughput simulations and screening in nanotechnology
- Micro-structure modeling and phase transformation
- Cluster modeling and molecular dynamics
- Biomolecular modeling
- Oxides, nitrides and related Materials
- Optical and spectroscopy properties of materials
- Integration of AI with molecular dynamics and DFT
- Applications of AI in nanomedicine and nanoelectronics
- Data-driven materials research and materials informatics
- Physics-informed neural networks for nanoscience and nanotechnology
- Quantum computing for nanomaterial simulation
- Quantum machine learning approaches in nanoscience
