Zobrazeno 1 - 10
of 232
pro vyhledávání: '"Vaikuntanathan, Suriyanarayanan"'
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
Standard approaches to controlling dynamical systems involve biologically implausible steps such as backpropagation of errors or intermediate model-based system representations. Recent advances in machine learning have shown that "imperfect" feedback
Externí odkaz:
http://arxiv.org/abs/2404.03798
Active matter with nonreciprocal interactions is known for its distinctive dynamics. To shed light on the stationary properties of such systems, we consider paradigmatic systems of nonreciprocally coupled active Ornstein-Uhlenbeck particles. For each
Externí odkaz:
http://arxiv.org/abs/2401.14690
Autor:
Qiu, Yuqing, White, Elizabeth D., Munro, Edwin M., Vaikuntanathan, Suriyanarayanan, Dinner, Aaron R.
Cell polarization relies on long-range cortical flows, which are driven by active stresses and resisted by the cytoskeletal network. While the general mechanisms that contribute to cortical flows are known, a quantitative understanding of the factors
Externí odkaz:
http://arxiv.org/abs/2310.10819
Traditionally, physical models of associative memory assume conditions of equilibrium. Here, we consider a prototypical oscillator model of associative memory and study how active noise sources that drive the system out of equilibrium, as well as non
Externí odkaz:
http://arxiv.org/abs/2307.13123
Autor:
Bowman, Gregory R., Cox, Stephen J., Dellago, Christoph, DuBay, Kateri H., Eaves, Joel D., Fletcher, Daniel A., Frechette, Layne B., Grünwald, Michael, Klymko, Katherine, Ku, JiYeon, Omar, Ahmad K., Rabani, Eran, Reichman, David R., Rogers, Julia R., Rosnik, Andreana M., Rotskoff, Grant M., Schneider, Anna R., Schwierz, Nadine, Sivak, David A., Vaikuntanathan, Suriyanarayanan, Whitelam, Stephen, Widmer-Cooper, Asaph
Publikováno v:
Ann. Rev. Phys. Chem. 74, 11.1-11.27 (2023)
Phillip L. Geissler made important contributions to the statistical mechanics of biological polymers, heterogeneous materials, and chemical dynamics in aqueous environments. He devised analytical and computational methods that revealed the underlying
Externí odkaz:
http://arxiv.org/abs/2302.13806
Autor:
Wang, Di, Zhou, Chenkun, Filatov, Alexander S., Cho, Wooje, Lagunas, Francisco, Wang, Mingzhan, Vaikuntanathan, Suriyanarayanan, Liu, Chong, Klie, Rober F., Talapin, Dmitri V.
Two-dimensional (2D) transition metal carbides and nitrides (MXenes) are a large family of materials actively studied for various applications, especially in the field of energy storage. To date, MXenes are commonly synthesized by etching the layered
Externí odkaz:
http://arxiv.org/abs/2212.08922
Non-reciprocal interactions fueled by local energy consumption can be found in biological and synthetic active matter at scales where viscoelastic forces are important. Such systems can be described by "odd" viscoelasticity, which assumes fewer mater
Externí odkaz:
http://arxiv.org/abs/2210.01159
We consider an immersed elastic body that is actively driven through a structured fluid by a motor or an external force. The behavior of such a system generally cannot be solved analytically, necessitating the use of numerical methods. However, curre
Externí odkaz:
http://arxiv.org/abs/2209.14889
Publikováno v:
J. Chem. Phys. 157, 014902 (2022)
Active systems, which are driven out of equilibrium by local non-conservative forces, exhibit unique behaviors and structures with potential utility for the design of novel materials. An important and difficult challenge along the path towards this g
Externí odkaz:
http://arxiv.org/abs/2208.03717