Zobrazeno 1 - 10
of 6 060
pro vyhledávání: '"Del Pozo, Á."'
Autor:
Sun, Haomin, Ball, Justin, Brunner, Stephan, Field, Anthony, Patel, Bhavin, Kennedy, Daniel, Roach, Colin, Cruz-Zabala, Diego Jose, Del Pozo, Fernando Puentes, Viezzer, Eleonora, Munoz, Manuel Garcia
Based on the analysis of a large number of high-fidelity nonlinear gyrokinetic simulations, we propose a novel strategy to improve confinement in tokamak plasmas by combining up-down asymmetric flux surface shaping with the Low Momentum Diffusivity (
Externí odkaz:
http://arxiv.org/abs/2410.10555
Autor:
del Pozo, Jesús J., Bonhome-Espinosa, Ana B., Sun, Wei, Gutiérrez-Ariza, Carlos, Rica, Raúl A., Rodríguez-Arco, Laura
In the field of microdroplet manipulation, optical tweezers have been used to form and grow droplets, to transport them, or to measure forces between droplet pairs. However, the exploration of out-of-equilibrium phenomena in optically trapped droplet
Externí odkaz:
http://arxiv.org/abs/2409.18539
Autor:
Sun, Haomin, Ball, Justin, Brunner, Stephan, Field, Anthony, Patel, Bhavin, Balestri, Alessandro, Kennedy, Daniel, Roach, Colin, Cruz-Zabala, Diego Jose, Del Pozo, Fernando Puentes, Viezzer, Eleonora, Munoz, Manuel Garcia
Strong $E\times B$ plasma flow shear is beneficial for reducing turbulent transport. However, traditional methods of driving flow shear do not scale well to large devices such as future fusion power plants. In this paper, we use a large number of non
Externí odkaz:
http://arxiv.org/abs/2408.12331
We present a comprehensive theoretical study of interacting and disordered topological phases of coupled Kitaev wires, which may support further realistic applications of Majorana fermions. We develop a variety of analytical, mathematical and numeric
Externí odkaz:
http://arxiv.org/abs/2408.02105
Scientific Machine Learning is a new class of approaches that integrate physical knowledge and mechanistic models with data-driven techniques for uncovering governing equations of complex processes. Among the available approaches, Universal Different
Externí odkaz:
http://arxiv.org/abs/2406.08853
Autor:
Plaza, Irene, Melero, Nina, del Pozo, Cristina, Conde, Javier, Reviriego, Pedro, Mayor-Rocher, Marina, Grandury, María
The evaluation of Large Language Models (LLMs) is a key element in their continuous improvement process and many benchmarks have been developed to assess the performance of LLMs in different tasks and topics. As LLMs become adopted worldwide, evaluat
Externí odkaz:
http://arxiv.org/abs/2406.17789
Autor:
Del Pozo, Frederick, Hur, Karyn Le
Publikováno v:
Phys. Rev. B 110, L060503 (2024)
We show how the $\mathbb{Z}_{2}$ topological index of a one-dimensional topological p-wave superconductor can be revealed when driving with a classical vector potential i.e. an electromagnetic wave, through the light-induced transition probabilities
Externí odkaz:
http://arxiv.org/abs/2401.14501
Autor:
del Pozo, Sofía M, Pinto, Sebastián, Serafino, Matteo, Moss, Federico, Cicchini, Tomás, Makse, Hernán A, Balenzuela, Pablo
In an era marked by an abundance of news sources, access to information significantly influences public opinion. Notably, the bias of news sources often serves as an indicator of individuals' political leanings. This study explores this hypothesis by
Externí odkaz:
http://arxiv.org/abs/2311.10837
Autor:
del Pozo, Sofía M, Pinto, Sebastián, Serafino, Matteo, Garcia, Lucio, Makse, Hernán A, Balenzuela, Pablo
The extensive data generated on social media platforms allow us to gain insights over trending topics and public opinions. Additionally, it offers a window into user behavior, including their content engagement and news sharing habits. In this study,
Externí odkaz:
http://arxiv.org/abs/2310.08701
Autor:
López-Bueno, Rubén, Calatayud, Joaquín, del Pozo Cruz, Jesús, Yang, Lin, del Pozo Cruz, Borja
Publikováno v:
In Progress in Cardiovascular Diseases July-August 2024 85:31-37
