Zobrazeno 1 - 10
of 5 272
pro vyhledávání: '"Timóteo, AT"'
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
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
Autor:
Attanasio, Felipe, Bauer, Marc, Dijkstra, Jelle, Lee, Timoteo, Pawlowski, Jan M., Pernice, Wolfram
Lattice field theory (LFT) is the standard non-perturbative method to perform numerical calculations of quantum field theory. However, the typical bottleneck of fermionic lattice calculations is the inversion of the Dirac matrix. This inversion is so
Externí odkaz:
http://arxiv.org/abs/2401.14200
Both humans and social animals live in groups and are frequently faced to choose between options with different qualities. When no leader agents are controlling the group decision, consensus can be achieved through repeated interactions among group m
Externí odkaz:
http://arxiv.org/abs/2401.00114