Results 151 to 160 of about 213,445 (314)
Monte carlo simulation of diffusions [PDF]
openaire +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source
Remarkable Electric Field‐Controlled Magnetism in La/Sm Co‐Substituted BiFeO3 Multiferroic Ceramics
The remarkable electric field‐controlled magnetism (change of Mr reaches up to 62.7%) in La/Sm co‐substituted BiFeO3 ceramics, originating from the electric field‐induced phase transition of Pna21/R3c, is achieved by enhancing the dielectric strength. Moreover, the significant improvement in ferroelectricity is also determined after the electric field ...
Qing Tian Li +3 more
wiley +1 more source
SMCTC: Sequential Monte Carlo in C++
Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature.
Adam M. Johansen
core
A Monte Carlo approach to value exchange options using a single stochastic factor [PDF]
Exchange options give the holder the right to exchange one risky asset V for another risky asset D. The asset V is referred to as the optioned (underlying) asset, while D is the delivery asset.
Giovanni Villani
core
Discovery of an Ideal HgO12 Icosahedron and Magnetodielectric Coupling in HgCu3Ti4O12
HgCu3Ti4O12, an A‐site‐ordered quadruple perovskite with a perfectly regular HgO12 coordination, has been synthesized for the first time using high‐pressure methods. The material shows antiferromagnetic ordering at 31 K together with an intrinsic dielectric anomaly, implying possible magnetodielectric coupling.
Haoyu Zheng +19 more
wiley +1 more source
On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo
Approximate Bayesian computation (ABC) has gained popularity over the past few years for the analysis of complex models arising in population genetics, epidemiology and system biology.
Barnes, C +7 more
core
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
The traditional methods of risk quantification include a sensitivity analysis, a scenario analysis and a historical simulation. The true nature of risk factors changes is ignored in the traditional 'ceteris paribus' approach to a sensitivity analysis ...
Jan Kaczmarzyk
doaj
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source

