Extraction of mechanical properties of materials through deep learning from instrumented indentation
☆72Mar 16, 2022Updated 4 years ago
Alternatives and similar repositories for deep-learning-for-indentation
Users that are interested in deep-learning-for-indentation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆40Jul 12, 2023Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357☆11Oct 23, 2020Updated 5 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.
- Error-free 3D printing. Defect detection and melt pool monitoring in a metal 3D printer. Tracks area of the melt pool, intensity, and rad…☆20Dec 15, 2020Updated 5 years ago
- ☆36Sep 3, 2021Updated 4 years ago
- ☆17Feb 9, 2023Updated 3 years ago
- Predicting Thermal Fields in AdditiveManufacturing by FEM simulations andMachine Learning☆68Oct 25, 2021Updated 4 years ago
- ☆59May 8, 2023Updated 2 years ago
- A web based application predicts water solubility of any given chemical compound known or unknown☆14Jul 4, 2021Updated 4 years ago
- A Matlab toolbox to plot and to analyze nanoindentation data (with conical indenters)☆21Nov 7, 2023Updated 2 years ago
- ☆41Sep 11, 2023Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆95Aug 17, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Feb 20, 2020Updated 6 years ago
- Python Laboratory for Dislocation Dynamics☆12Sep 11, 2025Updated 6 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆24Jul 3, 2023Updated 2 years ago
- A phase-field simulation tool for microstructure evolution in multi-component alloy systems☆17Aug 14, 2025Updated 7 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Curre…☆13Jan 15, 2021Updated 5 years ago
- Code for paper: Latent-space Dynamics for Reduced Deformable Simulation☆38May 29, 2019Updated 6 years ago
- My python scripts for ABAQUS☆11Sep 27, 2016Updated 9 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.
- MPI-parallelized cellular automaton ensemble model for the simulation of primary recrystallization phenomena in 3D☆14Mar 9, 2020Updated 6 years ago
- ☆12Feb 14, 2022Updated 4 years ago
- Contains Jupyter notebooks and other materials prepared for the course Numerical Methods offered at TIFR Hyderabad (https://moldis-group.…☆12Dec 26, 2022Updated 3 years ago
- Benchmark AFLOW Data Sets for Machine Learning doi.org/10.1007/s40192-020-00174-4☆11Aug 29, 2020Updated 5 years ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆66Mar 5, 2026Updated 3 weeks ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Sep 7, 2023Updated 2 years ago
- Thermodynamics-based Artificial Neural Networks☆33Apr 5, 2023Updated 2 years ago
- My list of essential Linux applications.☆27Mar 13, 2026Updated 2 weeks ago
- ☆33Aug 31, 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 and start building anything your business needs.
- Graph Convolutional Networks for Unstructured Flow Fields☆14Sep 5, 2022Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 5 years ago
- A deep learning and genetic algorithm framework for tailoring the mechanical properties of 3D microstructures☆14Aug 30, 2023Updated 2 years ago
- The inverse materials design is a key topic of materials science nowadays. The proposed software solutions are useful tools for decision …☆11Jul 15, 2020Updated 5 years ago
- A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materi…☆11Apr 3, 2023Updated 2 years ago
- Scripts for the ANN publication submited to FEAD 2021☆15Jul 10, 2021Updated 4 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 years ago