Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms
☆12Nov 4, 2024Updated last year
Alternatives and similar repositories for Operator-Learning-for-aortic-aneurysms
Users that are interested in Operator-Learning-for-aortic-aneurysms are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated 10 months ago
- MATLAB codes for the RPIM-NNS☆14Jun 26, 2024Updated last year
- FSI simulations using OpenFOAM☆12Jul 10, 2020Updated 5 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆20Jul 20, 2023Updated 2 years ago
- ☆11Mar 31, 2024Updated last year
- dic software☆13Jun 16, 2025Updated 9 months ago
- ☆17Aug 6, 2024Updated last year
- ☆17Feb 11, 2025Updated last year
- PyQT Framework using pyvista☆12Nov 20, 2019Updated 6 years ago
- A python script to plot mohr's circle☆10Nov 11, 2021Updated 4 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- ☆56Oct 9, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆13Dec 5, 2022Updated 3 years ago
- Python interface to ANSYS APDL CORBA server.☆12Mar 17, 2022Updated 4 years ago
- Digital Image Correlation. OpenCV with Python wrapper☆11Mar 17, 2014Updated 12 years ago
- ☆10Dec 29, 2024Updated last year
- Code base for 'Probabilistic Peridynamics' collaboration between Exeter, Cambridge & Turing☆26Jul 21, 2021Updated 4 years ago
- ☆12May 3, 2023Updated 2 years ago
- ☆35Nov 13, 2025Updated 4 months ago
- PeriHub is a platform that provides a numerical implementation of the peridynamic theory. It is an extension of the open source PeriLab s…☆16Mar 19, 2026Updated last week
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Feb 20, 2026Updated last month
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- TensorFlow code trained on LAMMPS peridynamics simulations☆11Sep 1, 2019Updated 6 years ago
- 自己制作的滞回曲线处理程序☆12Apr 21, 2023Updated 2 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- A collection of tools for pre-processing, simulating, and post-processing vascular fluid-structure-interaction problems☆15Mar 9, 2026Updated 2 weeks ago
- We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.☆11Jun 23, 2022Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆59May 30, 2024Updated last year
- Solving ODE by artificial neural networks☆22Oct 13, 2018Updated 7 years ago
- ☆11Jan 7, 2025Updated last year
- Python code for solving some 2D peridynamic problems☆13Mar 21, 2023Updated 3 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆24Aug 2, 2021Updated 4 years ago
- Complex beam PDEs are solved using physics informed neural networks☆12Jun 5, 2024Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 7 months ago
- 3D reconstruction from point cloud data using voxel based method☆10Nov 6, 2019Updated 6 years ago
- A place to share problems solved with SciANN☆308Nov 6, 2023Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆111Aug 28, 2023Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆32Oct 25, 2022Updated 3 years ago