Over the past decade, there have been significant advances in understanding the mechanics of nano- and bio-materials through in silico investigations. Statistical mechanics-based multiscale modeling provides a rigorous mathematical framework that enables the explanation, understanding, and prediction of macroscopic physical properties based on microscopic observations and parameters. Artificial intelligence (AI) has increasingly been utilized to develop new methods and applications across various fields. The integration of AI with multiscale modeling holds great promise for breakthroughs in the discovery and design of novel materials, particularly for advanced engineering applications. The design of nanostructured and self-assembled materials aimed at enhancing strength and performance for mechanical and energetic uses has attracted growing attention. A deep understanding of the mechanics and fundamental mechanisms of these materials is essential for the development of innovative material systems. This symposium will highlight computational mechanics and multiscale analysis for a broad range of engineering applications, aiming to showcase cutting-edge research in multiscale science and engineering. Topics include, but are not limited to: Biological materials Biomaterials Bio-inspired structural materials design Composite materials design Multiscale modeling Artificial intelligence in materials science