Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Vitelli, Vincenzo"'
Non-reciprocal interactions in many-body systems lead to time-dependent states, commonly observed in biological, chemical, and ecological systems. The stability of these states in the thermodynamic limit, as well as the criticality of the phase trans
Externí odkaz:
http://arxiv.org/abs/2409.07481
Disordered systems generically exhibit aging and a glass transition. Previous studies have long suggested that non-reciprocity tends to destroy glassiness. Here, we show that this is not always the case using a bipartite spherical Sherrington-Kirpatr
Externí odkaz:
http://arxiv.org/abs/2408.17360
Autor:
Mandal, Rituparno, Huang, Rosalind, Fruchart, Michel, Moerman, Pepijn G., Vaikuntanathan, Suriyanarayanan, Murugan, Arvind, Vitelli, Vincenzo
Physical learning is an emerging paradigm in science and engineering whereby (meta)materials acquire desired macroscopic behaviors by exposure to examples. So far, it has been applied to static properties such as elastic moduli and self-assembled str
Externí odkaz:
http://arxiv.org/abs/2406.07856
Autor:
Lefebvre, Matthew, Colen, Jonathan, Claussen, Nikolas, Brauns, Fridtjof, Raich, Marion, Mitchell, Noah, Fruchart, Michel, Vitelli, Vincenzo, Streichan, Sebastian J
Morphogenesis is the process whereby the body of an organism develops its target shape. The morphogen BMP is known to play a conserved role across bilaterian organisms in determining the dorsoventral (DV) axis. Yet, how BMP governs the spatio-tempora
Externí odkaz:
http://arxiv.org/abs/2405.18382
Intermittency refers to the broken self-similarity of turbulent flows caused by anomalous spatio-temporal fluctuations. In this Letter, we ask how intermittency is affected by a non-dissipative viscosity, known as odd viscosity (also Hall or gyro-vis
Externí odkaz:
http://arxiv.org/abs/2404.18894
We present a data-driven pipeline for model building that combines interpretable machine learning, hydrodynamic theories, and microscopic models. The goal is to uncover the underlying processes governing nonlinear dynamics experiments. We exemplify o
Externí odkaz:
http://arxiv.org/abs/2404.12918
Autor:
Seara, Daniel S., Colen, Jonathan, Fruchart, Michel, Avni, Yael, Martin, David, Vitelli, Vincenzo
Living systems display complex behaviors driven not only by physical forces, but also decision-making guided by information processing and molded by cultural and/or biological evolution. Hydrodynamic theories hold promise for simplified, universal de
Externí odkaz:
http://arxiv.org/abs/2312.17627
The development of synthetic microswimmers has advanced our understanding of the fundamental self-propelled mechanisms of living systems. However, there are scarce studies at the microscale within highly structured anisotropic media, such as bacteria
Externí odkaz:
http://arxiv.org/abs/2312.12866
Autor:
Schmitt, Matthew S., Koch-Janusz, Maciej, Fruchart, Michel, Seara, Daniel S., Rust, Michael, Vitelli, Vincenzo
Model reduction is the construction of simple yet predictive descriptions of the dynamics of many-body systems in terms of a few relevant variables. A prerequisite to model reduction is the identification of these relevant variables, a task for which
Externí odkaz:
http://arxiv.org/abs/2312.06608
Systems with non-reciprocal interactions generically display time-dependent states. These are routinely observed in finite systems, from neuroscience to active matter, in which globally ordered oscillations exist. However, the stability of these unif
Externí odkaz:
http://arxiv.org/abs/2311.05471