Nucleic acid structures are fascinating materials, shaped by the evolutionary process. 

We aim to engineer various types of nucleic acids to exhibit artificial functionalities through programmed structures. 

Our interest lies in modeling and designing nucleic acid structures, in combination with experiments, to bring novel ideas into the nanoscale world. 

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

Developing fundamental algorithms or integrating diverse approaches—such as atomic-scale methods, continuum-scale techniques, and neural networks—continues to be an exciting challenge. 

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