Zobrazeno 1 - 10
of 1 298
pro vyhledávání: '"Quinteros P"'
Autor:
Arenas, Javier Quintero, Cartaya, Claudia Quinteros, Lafarga, Andrea Padilla, Moraila, Carlos, Faber, Johannes, Koehler, Jonas, Srivastava, Nishtha
Earthquake early warning systems are crucial for protecting areas that are subject to these natural disasters. An essential part of these systems is the detection procedure. Traditionally these systems work with seismograph data, but high rate GNSS d
Externí odkaz:
http://arxiv.org/abs/2412.00264
Autor:
Karthik, H. S., Gómez, S., Quinteros, F. M., H., Akshata Shenoy, Pawłowski, M., Walborn, S. P., Lima, G., Gómez, E. S.
A $n^d \xrightarrow{p} 1$ Quantum Random Access Code (QRAC) is a communication task where Alice encodes $n$ classical bits into quantum states of dimension $d$ and transmits them to Bob, who performs appropriate measurements to recover the required b
Externí odkaz:
http://arxiv.org/abs/2411.07924
Autor:
Stupski, S. David, Ferrer, Laura Casas, Harrison, Jacob S., Jackson, Justina, Mansilla, Carolina Paucarhuanca, Livano, Loribeth Maricielo Bolo, Narla, Avaneesh, Chai, Chew, Clark, Elizabeth, Ha, Nami, Nina, Jaime Quispe, Wold, Ethan, Reyes-Quinteros, Johana, Gallice, Geoffrey, Bhamla, Saad
Field work is an essential component not just for organismal biology, but also for the expanding umbrella of disciplines which have turned their attention towards living systems. Observing organisms in naturalistic contexts is a critical component of
Externí odkaz:
http://arxiv.org/abs/2411.03498
Random networks offer fertile ground for achieving complexity and criticality, both crucial for an unconventional computing paradigm inspired by biological brains' features. In this work, we focus on characterizing and modeling different electrical t
Externí odkaz:
http://arxiv.org/abs/2409.01318
Autor:
Li, Wei, Chakraborty, Megha, Cartaya, Claudia Quinteros, koehler, Jonas, Faber, Johannes, Ruempker, Georg, Srivastava, Nishtha
Seismology has witnessed significant advancements in recent years with the application of deep learning methods to address a broad range of problems. These techniques have demonstrated their remarkable ability to effectively extract statistical prope
Externí odkaz:
http://arxiv.org/abs/2308.11428
Temperature anisotropy and field-aligned skewness are commonly observed non-thermal features in electron velocity distributions in the solar wind. These characteristics can act as a source of free energy to destabilize different electromagnetic wave
Externí odkaz:
http://arxiv.org/abs/2307.13630
High rate Global Navigation Satellite System (HR GNSS) data can be highly useful for earthquake analysis as it provides continuous high-rate measurements of ground motion. This data can be used to estimate the magnitude, to assess the potential of an
Externí odkaz:
http://arxiv.org/abs/2304.09912
Autor:
Ruben Weht, Cynthia Quinteros
Publikováno v:
Anales (Asociación Física Argentina), Vol 35, Iss 3, Pp 57-64 (2024)
With the perspective of implementing neuromorphic devices using memristor networks, we present a numerical-computational platform that allows studying their electrical transport properties. It consists of a function that describes the behavior of an
Externí odkaz:
https://doaj.org/article/f2e0a8a815734ac9a0bf2648c8aa347b
Patterns of ferroic domains and domain walls are being intensively studied to implement new logic schemes. Any technological application of such objects depends on a detailed understanding of them. This study analyzes patterns of ferromagnetic stripe
Externí odkaz:
http://arxiv.org/abs/2302.09102
We present a novel computational framework to simulate the electromechanical response of self-sensing carbon nanotube (CNT)-based composites experiencing fracture. The computational framework combines electrical-deformation-fracture finite element mo
Externí odkaz:
http://arxiv.org/abs/2302.02338