Results 81 to 90 of about 23,384 (296)
Algorithms and Data Structures for Sparse Polynomial Arithmetic
We provide a comprehensive presentation of algorithms, data structures, and implementation techniques for high-performance sparse multivariate polynomial arithmetic over the integers and rational numbers as implemented in the freely available Basic ...
Mohammadali Asadi +3 more
doaj +1 more source
From tensor-network quantum states to tensorial recurrent neural networks
We show that any matrix product state (MPS) can be exactly represented by a recurrent neural network (RNN) with a linear memory update. We generalize this RNN architecture to two-dimensional lattices using a multilinear memory update. It supports perfect
Dian Wu +3 more
doaj +1 more source
Fast memory efficient evaluation of spherical polynomials at scattered points [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kamen G. Ivanov, Pencho Petrushev
openaire +1 more source
Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza +3 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
:In order to effectively restrain the strong nonlinearity of Doherty power amplifiers (DPA), an augmented general fractional order memory polynomial model (AGFMP) was proposed,and used to design a digital predistortion linearizer.
刘太君 +4 more
doaj
General Decay for the Degenerate Equation with a Memory Condition at the Boundary
We consider a degenerate equation with a memory condition at the boundary. For a wider class of relaxation functions, we establish a more general decay result, from which the usual exponential and polynomial decay rates are only special cases.
Su-Young Shin, Jum-Ran Kang
doaj +1 more source
Pattern matching of compressed terms and contexts and polynomial rewriting
A generalization of the compressed string pattern match that applies to terms with variables is investigated: Given terms s and t compressed by singleton tree grammars, the task is to find an instance of s that occurs as a subterm in t. We show that this
Schmidt-Schauß, Manfred +1 more
core
Polynomial IOPs for Memory Consistency Checks in Zero-Knowledge Virtual Machines [PDF]
Zero-Knowledge Virtual Machines (ZKVMs) have gained traction in recent years due to their potential applications in a variety of areas, particularly blockchain ecosystems.
Dawu Gu +3 more
core
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source

