1098994933 / Fatigue-life-prediction-of-aluminum-alloy
☆21Updated 2 months ago
Alternatives and similar repositories for Fatigue-life-prediction-of-aluminum-alloy:
Users that are interested in Fatigue-life-prediction-of-aluminum-alloy are comparing it to the libraries listed below
- Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Curre…☆12Updated 4 years ago
- ☆18Updated 4 years ago
- Machine learning model for complex concentrated alloys/high entropy alloys using TensorFlow☆14Updated 4 years ago
- How would you predict the compressive strength of concrete as a function of its constituent materials and curing time? In this portfolio …☆10Updated 4 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆61Updated 2 years ago
- Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.☆53Updated 8 months ago
- A data-driven method combining symbolic regression and compressed sensing toward accurate & interpretable models.☆17Updated 3 years ago
- This is the code for the paper 'Machine learning-enabled high-entropy alloy discovery'☆66Updated last year
- Physics-guided Convolutional Neural Network☆64Updated 4 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆32Updated 2 years ago
- A combination of lightweight, high specific strength, and good castability make magnesium alloys a promising engineering material for the…☆10Updated 4 years ago
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆10Updated 4 years ago
- Gaussian Process Distribution of Relaxation Times☆38Updated 3 years ago
- Hierarchical Bayesian methods for inversion of electrochemical impedance spectroscopy (EIS) data☆34Updated last week
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆53Updated 8 months ago
- Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.☆33Updated 4 months ago
- ☆35Updated last year
- ☆14Updated 3 months ago
- ☆82Updated 2 weeks ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆32Updated 2 years ago
- Deep learning model to predict complex stress and strain fields in hierarchical composites☆23Updated last year
- This tutorial was prepared for the BIG-MAP AI school January 2022 by Jonas Busk (jbusk@dtu.dk).☆11Updated 2 years ago
- ☆36Updated 6 months ago
- ☆24Updated 2 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆26Updated 4 years ago
- Graphic user interface (GUI) for the battery database.☆15Updated last year
- ☆9Updated 4 years ago
- PSA simulation code☆13Updated last year
- MLMD: a programming-free AI platform to predict and design materials☆57Updated 2 weeks ago
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆106Updated 3 years ago