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.
We combine state-of-art single cell imaging, continuum mechanics, and agent-based modeling to systematically investigate the growth dynamics of 3D biofilms.
We developed a machine learning model to predict traction force maps for contractile cell monolayers.
We throughly discussed the stress-driven order mechanism in 3D biofilms.
We combine agent-based simulations and a minimal two-phase active nematics hydrodynamics model to elaborate the self-patterning mechanism for 2D biofilm layers.
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.
We proposed a liquid-metal and polymer-based composite with good mechanical and electromagnetic performance.
We developed a minimal model showing the positive feedback loop for mammalian cells sensing and guided by curvature.
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published in Arxiv, 2022
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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