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Research expertise and interests: Mechanics of Soft Matter
Statistical Mechanics of dynamic networks. Such networks include supramolecular polymers and hydrogels, a majority of bio-polymers as well as insect swarm aggregates (fire ants and honey bees). We use statistical mechanics to understand the link between microscopic physics and the emerging mechanical behavior of the network, such as its elastorheology, adaptation to loads, damage and self-healing.
Micromechanics of biological growth. We use analytical and computational method to understand the fundamental mechanisms of growth in animal and plant tissues. More specifically, we investigate (a) the in-vitro growth of cartilage from cell-laden hydrogel for personalized tissue engineering and (b) the growth and morphogenesis of fungal cells for crop engineering and as a bio-inspiration for functional materials.
Statistical Mechanics of dynamic networks. Such networks include supramolecular polymers and hydrogels, a majority of bio-polymers as well as insect swarm aggregates (fire ants and honey bees). We use statistical mechanics to understand the link between microscopic physics and the emerging mechanical behavior of the network, such as its elastorheology, adaptation to loads, damage and self-healing.
Micromechanics of biological growth. We use analytical and computational method to understand the fundamental mechanisms of growth in animal and plant tissues. More specifically, we investigate (a) the in-vitro growth of cartilage from cell-laden hydrogel for personalized tissue engineering and (b) the growth and morphogenesis of fungal cells for crop engineering and as a bio-inspiration for functional materials.
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SOFT ROBOTICS (2024)
Mustafa K. Abdelrahman,Robert J. Wagner,Manivannan Sivaperuman Kalairaj,Mason Zadan, Min Hee Kim,Lindy K. Jang,Suitu Wang,Mahjabeen Javed, Asaf Dana,Kanwar Abhay Singh, Sarah E. Hargett,Akhilesh K. Gaharwar,
ACS macro letterspp.549-554, (2023)
Prakhar Bandil,Franck J. Vernerey
Journal of the Mechanics and Physics of Solids (2023): 105443-105443
arXiv (Cornell University) (2023)
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