berkcankapusuzoglu / Physics-Informed-and-Hybrid-Machine-Learning-in-Additive-ManufacturingLinks
Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication
☆19Updated 4 years ago
Alternatives and similar repositories for Physics-Informed-and-Hybrid-Machine-Learning-in-Additive-Manufacturing
Users that are interested in Physics-Informed-and-Hybrid-Machine-Learning-in-Additive-Manufacturing are comparing it to the libraries listed below
Sorting:
- ☆43Updated 2 years ago
- ☆40Updated 2 years ago
- ☆21Updated last year
- multi-fidelity neural network☆22Updated 2 years ago
- Multi-fidelity regression with neural networks☆16Updated 3 months ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆26Updated 6 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆39Updated 2 years ago
- Physics-informed radial basis network☆36Updated last year
- Multi-fidelity probability machine learning☆22Updated 3 months ago
- A-PINN: Auxiliary physics informed neural networks for forward and inverse problems of nonlinear integro-differential equations☆23Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆50Updated 3 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Updated 2 years ago
- ☆26Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 4 years ago
- ☆14Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆84Updated 4 years ago
- ☆130Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆61Updated 5 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆72Updated 3 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 5 years ago
- ☆16Updated 8 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆39Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆27Updated 3 months ago
- Graph Convolutional Networks for Unstructured Flow Fields☆13Updated 3 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆24Updated last year
- implementation of physics-informed variational auto-encoder☆20Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆31Updated 7 months ago