Anomalous elasticity of cellular tissue vertex model

Kavli Affiliate: Mark J. Bowick | First 5 Authors: Arthur Hernandez, Michael F. Staddon, Mark J. Bowick, M. Cristina Marchetti, Michael Moshe | Summary: Vertex Models, as used to describe cellular tissue, have an energy controlled by deviations of each cell area and perimeter from target values. The constrained nonlinear relation between area and perimeter […]


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Geometric rigidity and anomalous elasticity of cellular tissue vertex model

Kavli Affiliate: Mark J. Bowick | First 5 Authors: Arthur Hernandez, Michael F. Staddon, Mark J. Bowick, M. Cristina Marchetti, Michael Moshe | Summary: Vertex Models, as used to describe cellular tissue, have an energy controlled by deviations from both a target area and a target perimeter. The constrained nonlinear relation between area and perimeter, […]


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The Compton Spectrometer and Imager Project for MeV Astronomy

Kavli Affiliate: Tom Melia | First 5 Authors: John A. Tomsick, Steven E. Boggs, Andreas Zoglauer, Eric Wulf, Lee Mitchell | Summary: The Compton Spectrometer and Imager (COSI) is a 0.2-5 MeV Compton telescope capable of imaging, spectroscopy, and polarimetry of astrophysical sources. Such capabilities are made possible by COSI’s germanium cross-strip detectors, which provide […]


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Formation and evolution of young massive clusters in galaxy mergers: the SMUGGLE view

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Hui Li, Mark Vogelsberger, Greg L. Bryan, Federico Marinacci, Laura V. Sales | Summary: Galaxy mergers are known to host abundant young massive cluster (YMC) populations, whose formation mechanism is still not well-understood. Here, we present a high-resolution galaxy merger simulation with explicit star formation and stellar […]


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AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang | Summary: Contrastive learning has been widely applied to graph representation learning, where the view generators play a vital role in generating effective contrastive samples. Most of the existing contrastive learning methods employ pre-defined view generation methods, […]


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