Elastoplasticity Informed Kolmogorov–Arnold Networks Using Chebyshev Polynomials
ABSTRACT Multilayer perceptron (MLP) networks are predominantly used to develop data‐driven constitutive models for granular materials. They offer a compelling alternative to traditional physics‐based constitutive models in predicting non‐linear responses of these materials, for example, elastoplasticity, under various loading conditions. To attain the
Farinaz Mostajeran, Salah A. Faroughi
wiley +1 more source
Guided nonlinear optics for information processing. [PDF]
Brunner D, Stiller B, Psaltis D.
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Toward an Efficient Shifted Cholesky QR for Applications in Model Order Reduction Using pyMOR
ABSTRACT Many model order reduction (MOR) methods rely on the computation of an orthonormal basis of a subspace onto which the large full order model is projected. Numerically, this entails the orthogonalization of a set of vectors. The nature of the MOR process imposes several requirements for the orthogonalization process.
Maximilian Bindhak +2 more
wiley +1 more source
A near-threshold memristive computing-in-memory engine for edge intelligence. [PDF]
Wang L +14 more
europepmc +1 more source
Search-optimized quantization in biomedical ontology alignment. [PDF]
Bouaggad O, Grabar N.
europepmc +1 more source
Retentive Network promotes efficient RNA language modeling of long sequences. [PDF]
Shen Y +6 more
europepmc +1 more source
QLSA-MOEAD integration for precision task scheduling in heterogeneous computing environments. [PDF]
Saad A +3 more
europepmc +1 more source
Modeling macroscopic brain dynamics with brain-inspired computing architecture. [PDF]
Zheng Z +9 more
europepmc +1 more source
Multi-wavelength diffractive optical neural network integrated with 2D photonic crystals for joint optical classification. [PDF]
Zhang Y, Zhang K, Hu P, Li D, Feng S.
europepmc +1 more source

