Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Vaikuntanathan, Suriyanarayanan"'
Autor:
Behera, Agnish Kumar, Du, Matthew, Jagadisan, Uday, Sastry, Srikanth, Rao, Madan, Vaikuntanathan, Suriyanarayanan
The classic paradigms for learning and memory recall focus on strengths of synaptic couplings and how these can be modulated to encode memories. In a previous paper [A. K. Behera, M. Rao, S. Sastry, and S. Vaikuntanathan, Physical Review X 13, 041043
Externí odkaz:
http://arxiv.org/abs/2410.06269
Many biological decision-making processes can be viewed as performing a classification task over a set of inputs, using various chemical and physical processes as "biological hardware." In this context, it is important to understand the inherent limi
Externí odkaz:
http://arxiv.org/abs/2409.05827
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