Biofilms as self-shaping growing nematics (Nature Physics)
We combine state-of-art single cell imaging, continuum mechanics, and agent-based modeling to systematically investigate the growth dynamics of 3D biofilms. 
Portfolio (Publications)
Machine learning traction force maps of cell monolayers (Extreme Mechanics Letters)
We developed a machine learning model to predict traction force maps for contractile cell monolayers. 
Mechano-lithography: stress anisotropy driven nematic order in growing three-dimensional bacterial biofilms (Soft Matter)
We throughly discussed the stress-driven order mechanism in 3D biofilms. 
Mechanical forces drive a reorientation cascade leading to biofilm self-patterning (Nature Communications)
We combine agent-based simulations and a minimal two-phase active nematics hydrodynamics model to elaborate the self-patterning mechanism for 2D biofilm layers. 
Molecular Ferroelectric-Based Flexible Sensors Exhibiting Supersensitivity and Multimodal Capability for Detection (Advanced Materials)
We proposed a ultra-sensitive mechanical sensor based on molecular ferroelectrics. Nonlinear FEA and theory for porous materials gave a simple scaling relation for sensor design. 
Highly stretchable polymer composite with strain‐enhanced electromagnetic interference shielding effectiveness (Advanced Materials)
We proposed a liquid-metal and polymer-based composite with good mechanical and electromagnetic performance. 
Physical forces guide curvature sensing and cell migration mode bifurcating (PNAS Nexus)
We developed a minimal model showing the positive feedback loop for mammalian cells sensing and guided by curvature. 