Results 101 to 110 of about 4,382,513 (303)
The expressivity of classical and quantum neural networks on entanglement entropy
Analytically continuing the von Neumann entropy from Rényi entropies is a challenging task in quantum field theory. While the n-th Rényi entropy can be computed using the replica method in the path integral representation of quantum field theory, the ...
Chih-Hung Wu, Ching-Che Yen
doaj +1 more source
In this work we present a formalism that intends to solve the problem of modeling wave propagation in the context of seismic inversion. The formalism is based on the linear perturbation theory of Cauchy's equations.
Anyeres A Jiménez +2 more
doaj +1 more source
Book review: Eberle S., Pechaček P. (Eds.) (2017), Bruchsal Palace Artistic Guide [in German], Staatliche Schlösser und Gärten Baden-Württemberg, Michael Imhof Verlag, 112 pp., ISBN 978-3731905271 [PDF]
This book is one of the series to introduce the heritage managed by State Palaces and Gardens in the German land of Baden-Württemberg. The palace in Bruchsal, where the headquarters are, features a magnificent staircase by Balthasar Neumann, which made ...
Maria Bostenaru Dan
doaj
Testing homogeneity, stationarity and trend in climatic series at Udaipur – a case study
Three seasonal climatological time series, i.e., rainfall, minimum temperature, and maximum temperature of Udaipur in three seasons, i.e. summer, rainy and winter were tested for the presence of homogeneity, stationarity, and trend components.
DEEPESH MACHIWAL, ARUN SHARMA
doaj +1 more source
Due to large numbers of antennas and users, matrix inversion is complicated in linear precoding techniques for massive MIMO systems. Several approximated matrix inversion methods, including the Neumann series, have been proposed to reduce the complexity.
Lin Shao, Yunxiao Zu
semanticscholar +1 more source
All Organic Fully Integrated Neuromorphic Crossbar Array
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh +2 more
wiley +1 more source
Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim +3 more
wiley +1 more source
Organic Thin‐Film Transistors for Neuromorphic Computing
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy +2 more
wiley +1 more source
Using the Neumann series expansion for assembling Reduced Order Models
An efficient method to remove the limitation in selecting the master degrees of freedom in a finite element model by means of a model order reduction is presented.
Nasisi S., Valášek M., Vampola T.
doaj
Longitudinal coupling impedance of a plane conducting ring
In this paper, we propose a new method to evaluate the longitudinal coupling impedance of a charged particle passing perpendicularly through the center of a plane conducting ring.
M. R. Masullo +4 more
doaj +1 more source

