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of 4 394
pro vyhledávání: '"A. Timoteo"'
Synchronization is a fundamental dynamical state of interacting oscillators, observed in natural biological rhythms and in the brain. Global synchronization which occurs when non-linear or chaotic oscillators placed on the nodes of a network display
Externí odkaz:
http://arxiv.org/abs/2410.15338
Synchronization is a ubiquitous phenomenon in nature. Although it is necessary for the functioning of many systems, too much synchronization can also be detrimental, e.g., (partially) synchronized brain patterns support high-level cognitive processes
Externí odkaz:
http://arxiv.org/abs/2409.13578
Autor:
Anwar, Md Sayeed, Jenifer, S. Nirmala, Muruganandam, Paulsamy, Ghosh, Dibakar, Carletti, Timoteo
Many natural and human-made complex systems feature group interactions that adapt over time in response to their dynamic states. However, most of the existing adaptive network models fall short of capturing these group dynamics, as they focus solely
Externí odkaz:
http://arxiv.org/abs/2408.12235
We hereby develop the theory of Turing instability for reaction-diffusion systems defined on m-directed hypergraphs, the latter being generalization of hypergraphs where nodes forming hyperedges can be shared into two disjoint sets, the head nodes an
Externí odkaz:
http://arxiv.org/abs/2408.04721
Publikováno v:
Revista Iberoamericana de Autom\'atica e Inform\'atica Industrial (RIAI), Volume 20, Article number 2, 2022, Pages 163-174
This work presents a perception system applied to robotic manipulation, that is able to assist in navigation, household waste classification and collection in outdoor environments. This system is made up of optical tactile sensors, RGBD cameras and a
Externí odkaz:
http://arxiv.org/abs/2407.10606
Nature is a blossoming of regular structures, signature of self-organization of the underlying microscopic interacting agents. Turing theory of pattern formation is one of the most studied mechanisms to address such phenomena and has been applied to
Externí odkaz:
http://arxiv.org/abs/2407.07663
We present a novel approach to quantum algorithms, by taking advantage of modular values, i.e., complex and unbounded quantities resulting from specific post-selected measurement scenarios. Our focus is on the problem of ascertaining whether a given
Externí odkaz:
http://arxiv.org/abs/2406.06803
Over the last few years, network science has proved to be useful in modeling a variety of complex systems, composed of a large number of interconnected units. The intricate pattern of interactions often allows the system to achieve complex tasks, suc
Externí odkaz:
http://arxiv.org/abs/2405.18555
Autor:
Yu, Jiwei, Wang, Zhangwei, Saksena, Aparna, Wei, Shaolou, Wei, Ye, Colnaghi, Timoteo, Marek, Andreas, Rampp, Markus, Song, Min, Gault, Baptiste, Li, Yue
Quantitative analysis of microstructural features on the nanoscale, including precipitates, local chemical orderings (LCOs) or structural defects (e.g. stacking faults) plays a pivotal role in understanding the mechanical and physical responses of en
Externí odkaz:
http://arxiv.org/abs/2404.16524
Publikováno v:
Phys. Rev. E 110, 014307 (2024)
Higher-order networks are able to capture the many-body interactions present in complex systems and to unveil new fundamental phenomena revealing the rich interplay between topology, geometry, and dynamics. Simplicial complexes are higher-order netwo
Externí odkaz:
http://arxiv.org/abs/2404.11337