1098994933 / Fatigue-life-prediction-of-aluminum-alloy
☆21Updated 5 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
- [NpjCM2023 ; Small 2024] Machine Learning Algorithm : outlier identifying, feature selection☆10Updated 4 months ago
- This is the code for the paper 'Machine learning-enabled high-entropy alloy discovery'☆71Updated last year
- Materials representation plays a key role in machine learning based prediction of materials properties and new materials discovery. Curre…☆12Updated 4 years ago
- Python interface to the SISSO (Sure Independence Screening and Sparsifying Operator) method.☆54Updated last year
- Ultra-Low-Kappa: Identification of Crystalline Materials with Ultra-Low Thermal Conductivity Based on Machine Learning Study☆9Updated 8 months ago
- A combination of lightweight, high specific strength, and good castability make magnesium alloys a promising engineering material for the…☆10Updated 4 years ago
- Extraction of mechanical properties of materials through deep learning from instrumented indentation☆65Updated 3 years ago
- ☆16Updated 2 months ago
- MLMD: a programming-free AI platform to predict and design materials☆62Updated 2 months ago
- Repository for links to software packages and databases used in deep-learning applications for materials science☆139Updated 3 weeks ago
- yuhaowang2018 / Machine_learning_approach_to_Iron_based_soft_magnetic_nanocrystalline_materials_designMachine learning approach to Fe-based soft magnetic nanocrystalline materials design☆18Updated 5 years ago
- ☆18Updated 4 years ago
- code package with elemental property dictionary that trains a model based on training dataset and gives prediction on new perovskite comp…☆27Updated 6 years ago
- Quantum-Wise VNL Application for Perovskite Building and Machine Learning☆10Updated 4 years ago
- This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…☆14Updated 8 months ago
- Machine learning model for complex concentrated alloys/high entropy alloys using TensorFlow☆15Updated 4 years ago
- Expanded dataset of mechanical properties and observed phases of multi-principal element alloys☆33Updated 2 years ago
- 针对开源模拟软件Lammps导出的数据文件,个人采用Python脚本进行数据处理并科研绘图,并取得相关的论文成果。☆45Updated 3 years ago
- Using the CGCNN transfer learning model to pridict the voltages of many kinds of metal-ion battery electrodes☆10Updated 2 years ago
- Plots for "Machine-learned and codified synthesis parameters of oxide materials" in the journal Scientific Data☆13Updated 7 years ago
- User-friendly Freeware for Determining the Concentration of Electrolyte Components in Lithium-Ion Cells Using Fourier Transform Infrared …☆15Updated 2 years ago
- PSA simulation code☆15Updated 2 years ago
- ☆11Updated 8 years ago
- Multi-layer perceptron model for photo-voltaic material properties prediction.☆25Updated 2 years ago
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆41Updated 2 years ago
- A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.☆276Updated last month
- Gaussian Process Distribution of Relaxation Times☆39Updated 3 years ago
- Modules for cross validation, evaluation and plot of SISSO☆15Updated 5 years ago
- Predict the band gap energy for inorganic materials☆19Updated last year
- A data-driven method combining symbolic regression and compressed sensing toward accurate & interpretable models.☆19Updated 3 years ago