94 citations · 252 across the 11 of their papers we have counts for
11 papers
Deep-learning Optical Flow Outperforms PIV in Obtaining Velocity Fields from Active Nematics
Phu N. Tran, Sattvic Ray, Linnea Lemma +6
Deep learning-based optical flow (DLOF) extracts features in adjacent video frames with deep convolutional neural networks. It uses those features to estimate the inter-frame motio…
Light-activated microtubule-based 2D active nematic
Zahra Zarei, John Berezney, Alexander Hensley +4
We characterize two-dimensional (2D) microtubule-based active nematics driven by light-responsive kinesin motor clusters. We assess two constructs of optogenetic kinesin: opto-K401…
Structure and dynamics of motor-driven microtubule bundles
Bezia Lemma, Linnea Lemma, Stephanie C. Ems-McClung +3
Connecting the large-scale emergent behaviors of active materials to the microscopic properties of their constituents is a challenge due to a lack of data on the multiscale dynamic…
Spatiotemporal patterning of extensile active stresses in microtubule-based active fluids
Linnea M. Lemma, Minu Varghese, Tyler D. Ross +3
Active stresses, which are collectively generated by the motion of energy-consuming rod-like constituents, generate chaotic autonomous flows. Controlling active stresses in space a…
Data-driven discovery of active nematic hydrodynamics
Chaitanya Joshi, Sattvic Ray, Linnea Lemma +5
Two-dimensional active nematics are often modeled using phenomenological continuum theories that describe the dynamics of the nematic director and fluid velocity through partial di…
Dual antagonistic role of motor proteins in fluidizing active networks
Bibi Najma, Minu Varghese, Lev Tsidilkovski +3
Cells accomplish diverse functions using the same molecular building blocks, from setting up cytoplasmic flows to generating mechanical forces. In particular, transitions between t…
Defect-mediated dynamics of coherent structures in active nematics
Mattia Serra, Linnea Lemma, Luca Giomi +2
Active fluids, such as cytoskeletal filaments, bacterial colonies and epithelial cell layers, exhibit distinctive orientational coherence, often characterized by nematic order and…
Machine Learning Forecasting of Active Nematics
Zhengyang Zhou, Chaitanya Joshi, Ruoshi Liu +6
Active nematics are a class of far-from-equilibrium materials characterized by local orientational order of force-generating, anisotropic constitutes. Traditional methods for predi…
Machine learning active-nematic hydrodynamics
Jonathan Colen, Ming Han, Rui Zhang +10
Hydrodynamic theories effectively describe many-body systems out of equilibrium in terms of a few macroscopic parameters. However, such hydrodynamic parameters are difficult to der…
Multiscale Microtubule Dynamics in Active Nematics
Linnea M. Lemma, Michael M. Norton, Alexandra M. Tayar +5
In microtubule-based active nematics, motor-driven extensile motion of microtubule bundles powers chaotic large-scale dynamics. We quantify the interfilament sliding motion both in…
Statistical Properties of Autonomous Flows in 2D Active Nematics
Linnea M Lemma, Stephen J Decamp, Zhihong You +2
We study the dynamics of a tunable 2D active nematic liquid crystal composed of microtubules and kinesin motors confined to an oil-water interface. Kinesin motors continuously inje…