The Multiscale Computational Science and Engineering Laboratory conducts research in areas such as multiscale modeling and simulation, nanocomposites, deep learning, reinforcement learning, robotics and control, and complex systems. 

The research group adopts advanced computational methods at different scales, including quantum mechanics, molecular dynamics, continuum mechanics, agent-based modeling, graph theory, and multiscale methods, enhanced by various artificial intelligence (AI) techniques such as deep learning and reinforcement learning.