Zobrazeno 1 - 10
of 114 244
pro vyhledávání: '"RICHARD, G. A."'
Biased quorum-sensing active particles (bQSAPs) are shown to extend notions of dynamic critical phenomena beyond active phase separation into the prototypical nonequilibrium setting of driven transport, where characteristic emergent behaviour is not
Externí odkaz:
http://arxiv.org/abs/2412.15627
Bayesian reinforcement learning (BRL) is a method that merges principles from Bayesian statistics and reinforcement learning to make optimal decisions in uncertain environments. Similar to other model-based RL approaches, it involves two key componen
Externí odkaz:
http://arxiv.org/abs/2412.11743
Autor:
Pollard, Joseph, Morris, Richard G.
The Peach-Koehler force between disclination lines was originally formulated in the study of crystalline solids, and has since been adopted to provide a notion of interactions between disclination lines in nematic liquid crystals. Here, we argue that
Externí odkaz:
http://arxiv.org/abs/2412.08866
Autor:
Geisler, Benjamin, Hamlin, James J., Stewart, Gregory R., Hennig, Richard G., Hirschfeld, P. J.
We explore the structural and electronic properties of the bilayer nickelate La3Ni2O7 on LaAlO3(001) and SrTiO3(001) by using density functional theory including a Coulomb repulsion term. For La$_3$Ni$_2$O$_{7}$/LaAlO$_3$(001), we find that compressi
Externí odkaz:
http://arxiv.org/abs/2411.14600
Autor:
Ripoli, Leonardo, Everitt, Richard G.
Monte Carlo methods, such as Markov chain Monte Carlo (MCMC), remain the most regularly-used approach for implementing Bayesian inference. However, the computational cost of these approaches usually scales worse than linearly with the dimension of th
Externí odkaz:
http://arxiv.org/abs/2411.05935
Autor:
Arikan, Toros, Chackalackal, Luca M., Ahsan, Fatima, Tittel, Konrad, Singer, Andrew C., Wornell, Gregory W., Baraniuk, Richard G.
Underwater acoustic environment estimation is a challenging but important task for remote sensing scenarios. Current estimation methods require high signal strength and a solution to the fragile echo labeling problem to be effective. In previous publ
Externí odkaz:
http://arxiv.org/abs/2411.02609
Publikováno v:
IEEE Access, vol. 12, pp. 157540-157555, 2024
This survey uncovers the tension between AI techniques designed for energy saving in mobile networks and the energy demands those same techniques create. We compare modeling approaches that estimate power usage cost of current commercial terrestrial
Externí odkaz:
http://arxiv.org/abs/2411.02164
Recent sustainability drives place energy-consumption metrics in centre-stage for the design of future radio access networks (RAN). At the same time, optimising the trade-off between performance and system energy usage by machine-learning (ML) is an
Externí odkaz:
http://arxiv.org/abs/2411.02135
The Obstacle Avoiding Rectilinear Steiner Minimum Tree (OARSMT) problem, which seeks the shortest interconnection of a given number of terminals in a rectilinear plane while avoiding obstacles, is a critical task in integrated circuit design, network
Externí odkaz:
http://arxiv.org/abs/2410.18832
ATOMKI nuclear anomaly has suggested a new BSM (Beyond the Standard Model) boson with mass $\sim17$ MeV emitted from excited nuclei and quickly decays into a pair of $e^+e^-$. In order to search for the new particle, we propose a new approach that ut
Externí odkaz:
http://arxiv.org/abs/2410.17968