This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how the datasets can be loaded.
☆17Nov 1, 2022Updated 3 years ago
Alternatives and similar repositories for sim-data
Users that are interested in sim-data are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Jul 21, 2023Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Aug 26, 2024Updated last year
- ☆11Jun 22, 2025Updated 10 months ago
- Code for "Discovering plasticity models without stress data" (npj Computational Materials, 2022) and "Automated discovery of generalized …☆24Sep 25, 2024Updated last year
- Thermodynamics-based Artificial Neural Networks☆33Apr 5, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Apr 21, 2026Updated last week
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 years ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆16Jan 15, 2023Updated 3 years ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆21Nov 18, 2024Updated last year
- ☆14Dec 27, 2023Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials☆27Mar 11, 2021Updated 5 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆28Jul 25, 2024Updated last year
- Graph Convolutional Networks for Unstructured Flow Fields☆14Sep 5, 2022Updated 3 years ago
- 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.
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆13Nov 13, 2022Updated 3 years ago
- Symbolic Regression from Scratch with Python☆14Dec 6, 2022Updated 3 years ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆67Mar 5, 2026Updated last month
- FrontISTR is an open-source parallel FEM software program. This software had been continuously developed and supported by the FrontISTR s…☆12Apr 8, 2024Updated 2 years ago
- Qi ZHANG's simulation code (very preliminary and there are a lot of aspects to improve)☆15Jan 23, 2026Updated 3 months ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆20Sep 6, 2023Updated 2 years ago
- Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models' (Nature Machine Intelligenc…☆89Aug 9, 2024Updated last year
- This is the supporting material for the tutorial on fibre based hyperelasticity using a local coordinate basis in Abaqus☆20Nov 18, 2019Updated 6 years ago
- ☆24Mar 16, 2024Updated 2 years ago
- AI Agents on 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.
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 years ago
- ☆13Nov 28, 2025Updated 5 months ago
- Open-source code for phase field modelling of Composite Materials☆33Jul 21, 2023Updated 2 years ago
- FEniCS implementation of phase-field fracture model for brittle anisotropic materials☆13Aug 2, 2025Updated 8 months ago
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Aug 18, 2023Updated 2 years ago
- implementation of Franck Farris recipes to produce wallpaper patterns☆10Mar 26, 2024Updated 2 years ago
- Constitutive hyperelastic material formulations for FElupe.☆16Feb 13, 2026Updated 2 months ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆33Aug 31, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Physics informed neural network for learning seepage flow models☆20May 3, 2023Updated 2 years ago
- Subset simulation is a method of estimating low probability events. Here I adapt SS to perform well with correlated inputs.☆11Jan 9, 2019Updated 7 years ago
- Open source Julia codes for simulating brittle fracture using phase-field model☆19Sep 1, 2025Updated 7 months ago
- BP-GA Neural Network Designed for Geotech☆12Oct 15, 2024Updated last year
- sample files for Direct FE2 implementation in ABAQUS☆20Feb 16, 2022Updated 4 years ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆34Apr 17, 2026Updated last week
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated 2 years ago