Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A ResUNet is used in the trunk network to encode the variable input geometries, and a feed-forward neural network is used in the branch to encode the loading parameters.
☆21Jul 20, 2023Updated 2 years ago
Alternatives and similar repositories for ResUNet-DeepONet-Plasticity
Users that are interested in ResUNet-DeepONet-Plasticity are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆27Jan 20, 2023Updated 3 years ago
- Density-based topology optimization via the deep energy method☆22Nov 1, 2022Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆62Apr 19, 2026Updated last month
- Nathan Brown- PhD Research on Engineering Design Using Reinforcement Learning with an emphasis on Material Structure and Metamaterial Des…☆11Sep 26, 2022Updated 3 years ago
- An Optimized, Easy-to-use, Open-source GPU Solver for Large-scale Inverse Homogenization Problems☆66May 3, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated last year
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆20May 3, 2024Updated 2 years ago
- An attempt to use KAN☆13May 23, 2024Updated 2 years ago
- ☆26Mar 16, 2024Updated 2 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 years ago
- In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model …☆28Aug 2, 2018Updated 7 years ago
- ☆18Nov 26, 2024Updated last year
- DRLFluent: a distributed co-simulation framework coupling reinfocement learning and computational fluids dynamics on HPC.☆13May 27, 2025Updated last year
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13May 7, 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.
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆14Aug 26, 2024Updated last year
- Lego-like building blocks for Finite Element Analysis☆44Jun 1, 2026Updated last week
- Physics-informed radial basis network☆40May 20, 2024Updated 2 years ago
- ☆11Jan 7, 2025Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆17Nov 1, 2022Updated 3 years ago
- ☆10Nov 18, 2021Updated 4 years ago
- Band gaps of are intrinsic physical properties of periodic structures, for example, mechanical metamaterials or phononic crystals, which …☆22Sep 23, 2021Updated 4 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆25Jul 3, 2023Updated 2 years ago
- This repository contains MATLAB implementations of the following wall models (WM) for incompressible LES solvers: 1) ODE equilibrium WM (…☆11Jun 7, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆16Apr 2, 2026Updated 2 months ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆21Nov 18, 2024Updated last year
- ☆59May 8, 2023Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆82Aug 4, 2023Updated 2 years ago
- ABAQUS users material models wrapper for Julia☆12Apr 30, 2020Updated 6 years ago
- This repository contains the subroutine source code of Emilio Martínez-Pañeda on various physical problems. This is his website https://w…☆17Oct 13, 2025Updated 7 months ago
- Physics-informed neural networks for studying heat transfer in porous media☆21Jun 13, 2025Updated 11 months ago
- ☆27Jul 7, 2022Updated 3 years ago
- ☆16Apr 25, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- Lemaitre non-local damage user sub-routines for Abaqus software (public)☆15Mar 7, 2023Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆43Mar 29, 2021Updated 5 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 9 months ago
- Code for "Discovering plasticity models without stress data" (npj Computational Materials, 2022) and "Automated discovery of generalized …☆24Sep 25, 2024Updated last year
- ☆13Dec 19, 2023Updated 2 years ago
- A novel graph U-net architecture☆25Apr 12, 2024Updated 2 years ago