Nucleic acid structures are fascinating materials shaped by evolutionary processes.

We aim to engineer various types of nucleic acid systems with programmable structures and artificial functionalities.

By combining modeling, design, and experiments, we seek to develop novel nucleic acid architectures and bring new concepts to the bio-nano systems.

Computational approaches rooted in mechanics and physics enable the simulation of complex systems and the prediction of previously unexplored phenomena.

Developing fundamental algorithms and integrating diverse approaches, such as atomic-scale methods, continuum-scale techniques, and neural networks, remain exciting challenges.

Our focus is on establishing and refining mathematical descriptions of intriguing physical systems to create state-of-the-art computational models.