Xia Research Group
Welcome to Xia Research Group in the Department of Aerospace Engineering at Iowa State University! Our research interest lies in understanding the complex behaviors of engineering materials via predictive multiscale modeling for material design, characterization, and prediction of their multifunctional performance in aerospace, structure, energy, and bioengineering applications.
Our group aims to establish a multiscale materials-by-design framework – by integrating theories (i.e., soft matter physics, mechanics, continuum theories), computational techniques (i.e., molecular dynamics, coarse-grained modeling, and machine learning), and experiments – to facilitate design and development of high-performance structural materials.
Scaling up Materials Design with Computation
Our group has pioneered an Energy-Renormalization (ER) approach for coarse-graining polymers and soft materials, enabling the accurate prediction of their temperature-dependent behaviors by exploiting polymer physics, glass theories, and mechanics.
Employing multiscale modeling techniques, our research has elucidated how intricate structures and intermolecular interactions dictate the size-dependent behaviors of polymer thin films under nanoconfinement.
Our recent endeavors have integrated cutting-edge AI/ML methodologies into material modeling and design. This includes the development of predictive models for the properties and performance of diverse materials such as complex conjugated polymers, functional coatings, and crosslinked networks.
By harnessing the power of computation techniques, we are pushing the boundaries of advanced materials and structures, paving the way for transformative innovations.