GitHub

fomalhaut1100/free_oscillation_toolchain

Requirements & Conventions MATLAB: R2022b or later (tested on R2024a). Toolboxes: Signal Processing Toolbox (for resample, butter, filtfilt, spectrogram). Program ...
IEEE

Total Variational Model of Structure Tensor Based on Partial Differential Equation and Its Application in Planet-Bearing Fault Diagnosis

Abstract: When planet bearing operates under a complex and variable environment, the fault signal is often coupled with signals from other transmission components and is influenced by the transmission ...
GitHub

Spectral vs. Fourier Neural Operators in Parametric PDE Modeling: Analysis and Experiments

This repository contains the official source code for the paper "Spectral vs. Fourier Neural Operators in Parametric PDE Modeling: Analysis and Experiments". This project conducts a systematic ...
marktechpost

A Step by Step Guide to Solve 1D Burgers’ Equation with Physics-Informed Neural Networks (PINNs): A PyTorch Approach Using Automatic Differentiation and Collocation Methods

First, we install the PyTorch and matplotlib libraries using pip, ensuring you have the necessary tools for building neural networks and visualizing the results in your Google Colab environment. Copy ...
INSPIRE

Efficient modeling of superconducting quantum circuits with tensor networks

We use a tensor network method to compute the low-energy excitations of a large-scale fluxonium qubit up to a desired accuracy. We employ this numerical technique to estimate the pure-dephasing ...
Frontiers

Editorial: Approximation methods and analytical modeling using partial differential equations

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...
JSTOR Daily

Bayesian Additive Adaptive Basis Tensor Product Models for Modeling High Dimensional Surfaces: An Application to High-Throughput Toxicity Testing

Many modern datasets are sampled with error from complex high-dimensional surfaces. Methods such as tensor product splines or Gaussian processes are effective and ...