M. Lisa Manning

(now on bluesky) Manning Research Group at Syracuse University: focused on cells, grains, tissues, glasses, and other out-of-equilibrium disordered matter

[M. Lisa Manning @ManningResearch]

Very, very excited about our new interdisciplinary graduate training program at SU: https://t.co/kxoiqqu7gz , with co-PIs @LovelessRadio , @ZhenMa2046, @Castaneda_lab , and Teng Zhang. Folks can apply this winter for grad fellowships starting next year!

[M. Lisa Manning @ManningResearch]

We also plan to apply these methods to physical systems, either by fabricating computer-designed materials or by finding local design rules that can drive a system to an optimal configuration through physical learning. 12/

[M. Lisa Manning @ManningResearch]

We then compare these optimal networks with unoptimized configurations taken from random samples of the critical manifold. 10/

[M. Lisa Manning @ManningResearch]

One could use these techniques to design other features on the critical manifold. It also provides a framework for thinking about the critical manifold as a statistical ensemble to search for common features and order parameters of critical states. 11/

[M. Lisa Manning @ManningResearch]

We find configurations with ideal structures, such as minimal fluctuations in edge lengths or tensions; or with enhanced elastic responses, by maximizing either the bulk or shear modulus at the critical point. 9/

[M. Lisa Manning @ManningResearch]

Excited to highlight a new preprint spearheaded by grad student Tyler Hain @t_hainous, in collaboration with @csantangelo314, "Optimizing properties on the critical rigidity manifold of underconstrained central force networks" https://t.co/4QmPzt4STf 1/

[M. Lisa Manning @ManningResearch]

Because we have an analytic parameterization for the critical manifold, we can straightforwardly use gradient descent methods to numerically find critical configurations that optimize any objective function. 8/

[M. Lisa Manning @ManningResearch]

We show that there is a particular quantity, which we call the geometric stress, that acts as natural degrees of freedom to parameterize a smooth manifold of states at the critical point for central-force networks. 7/

[M. Lisa Manning @ManningResearch]

The geometric rigidity transition coincides with the appearance of a state of self-stress, which is a set of internal stresses that leave the system in equilibrium. But these critical configurations are very rare, so how do we find them? 6/

[M. Lisa Manning @ManningResearch]

Previous work from our group (https://t.co/DUTBHpMpQK) has described this transition, but left open the question: what is the space of states at the geometric rigidity transition? How can we find configurations at the critical point that also have other desired properties? 5/

[M. Lisa Manning @ManningResearch]

Unlike the jamming transition in granular systems, which happens when there are enough contacts to constrain all infinitesimal motions of a system, this geometric rigidity transition occurs in underconstrained systems due to nonlinear effects at fixed network connectivity. 4/

[M. Lisa Manning @ManningResearch]

Confluent tissues and biopolymer networks such as collagen can change their stiffness by orders of magnitude with small changes to their structure. These systems tune internal parameters to cross this transition to fulfill specific functions 3/

[M. Lisa Manning @ManningResearch]

Biological materials exhibit an incredible ability to adapt their mechanical properties by being poised at a geometric rigidity transition. We developed a framework for designing materials at this critical point that have other desired properties. 2/

[M. Lisa Manning @ManningResearch]

Really looking forward to this Symposium!

[Chan Zuckerberg Biohub Network @czbiohub]

You’re invited! #CZBiohubSF will hold its 3rd Physics of Life Symposium on Sept. 25, with keynote by M. Lisa Manning / @manningresearch, @syracusephysics professor. Join us as we build a community of physical biologists 🧑‍🔬!

Learn more & register ⤵️
https://t.co/fSWJAExZT4

[M. Lisa Manning @ManningResearch]

Our work confirms that slow tissue movements can generate forces that are significant enough to deform an organ, as the timescale of tissue relaxation is large.

This suggests dynamical forces may be playing a role in many other developmental processes, too. We should look!
13/n

[M. Lisa Manning @ManningResearch]

How do dynamical forces generated by tissue movement affect organ morphology changes during embryonic development?
Using Kupffer’s vesicle in zebrafish embryo as a model organ we showed that dynamical forces produce shape changes in a developing organ.
https://t.co/l2IxCFud2a
1/n

[M. Lisa Manning @ManningResearch]

In addition to altering lumen shape changes, are dynamical forces sufficient to change individual cell shapes to drive KV remodeling involved in LR patterning?

Yes, notochord ablation reduces the AP distribution as compared to controls. The 3D vertex model predicts this.
12/n