jagar2 / Revealing-Ferroelectric-Switching-Character-Using-Deep-Recurrent-Neural-NetworksLinks
The ability to manipulate domains and domain walls underpins function in a range of next-generation applications of ferroelectrics. While there have been demonstrations of controlled nanoscale manipulation of domain structures to drive emergent properties, such approaches lack an internal feedback loop required for automation. Here, using a deep…
☆22Updated 2 years ago
Alternatives and similar repositories for Revealing-Ferroelectric-Switching-Character-Using-Deep-Recurrent-Neural-Networks
Users that are interested in Revealing-Ferroelectric-Switching-Character-Using-Deep-Recurrent-Neural-Networks are comparing it to the libraries listed below
Sorting:
- MAterials Simulation Toolkit for Machine Learning (MAST-ML)☆128Updated last month
- Machine Learning Package Targeted for Amorphous Materials.☆20Updated 4 years ago
- Automatic XRD classification for thin-film materials using CNNs, Class Activation Maps and Data Augmentation☆52Updated 5 years ago
- Data Science for Materials Science☆66Updated last week
- Accelerated Design of Layered Materials with Bayesian Optimization☆20Updated 6 years ago
- Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction☆98Updated 2 years ago
- This repo implements a web application utilizing a deep neural network to predict the formation energies and stability of garnet crystals…☆32Updated 2 years ago
- Course materials for "Applied AI for Materials Science and Engineering"☆68Updated 3 years ago
- A machine learning environment for atomic-scale modeling in surface science and catalysis.☆116Updated last year
- Gaussian processes and Bayesian optimization for images and hyperspectral data☆57Updated 2 years ago
- ☆14Updated 3 years ago
- ☆99Updated 2 months ago
- Veidt is a deep learning library for materials science.☆18Updated 5 years ago
- Python code to identify and calculate decomposition of materials using Raman spectroscopy☆27Updated 4 years ago
- Assets for the 2017 Materials Project workshop☆21Updated 8 years ago
- JARVIS-AIMS workshop☆19Updated 4 months ago
- Official public repository for the XtalOpt crystallographic multi-objective variable-composition evolutionary algorithm☆48Updated last month
- an automatic plot digitizer for spectroscopy images (i.e. XANES and Raman)☆42Updated 3 years ago
- Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automate…☆36Updated 4 years ago
- Suite for Analysis of Molecular Simulations☆11Updated 3 months ago
- Deep learning for crystal-structure recognition and analysis of atomic structures☆44Updated last year
- Python implementation of FitIt software to fit X-ray absorption near edge structure (XANES) extended with additional features.☆40Updated 11 months ago
- Inverse Design of Materials by Multi-objective Differential Evolution☆50Updated 6 years ago
- ☆124Updated 2 years ago
- A Python library to calculate elastic properties of materials.☆59Updated 4 months ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆85Updated 6 months ago
- Machine learning molecule graphs from atomic force microscopy images.☆13Updated 2 years ago
- A Python library for building atomic neural networks☆120Updated 2 months ago
- The materials for the Fall ML in Materials course at the UTK MSE☆88Updated last year
- Molecular Simulation with Machine Learning - On-line workshop, July 13-14, 2020☆22Updated 5 years ago