SINGROUP / Graph-AFMLinks
Machine learning molecule graphs from atomic force microscopy images.
☆12Updated 2 years ago
Alternatives and similar repositories for Graph-AFM
Users that are interested in Graph-AFM are comparing it to the libraries listed below
Sorting:
- Automatic evaluator of the CO-functionalized tips in Atomic Force Microscopy☆9Updated 3 years ago
- Classical force field model for simulating atomic force microscopy images.☆52Updated this week
- Deep Learning Analysis of Defect and Phase Evolution During Electron Beam Induced Transformations in WS2☆14Updated 6 years ago
- A machine learning approach allowing to acquire and classify data autonomously in multi-day Scanning Probe Microscopy experiments☆25Updated last year
- Deep and machine learning for atomic-scale and mesoscale data☆12Updated 2 weeks ago
- Reads crystallographic cif files and simulates diffraction☆62Updated 2 weeks ago
- AtomSegNet☆42Updated 2 years ago
- Python interface for the Dr. Probe command line tools☆12Updated 4 years ago
- A graphical user interface of Python lmfit package was developed for standard X-ray photoemission spectroscopy (XPS) curve fitting analys…☆24Updated 2 weeks ago
- This folder contains the source codes and data for the metallic glass paper☆29Updated 7 months ago
- ☆27Updated 2 weeks ago
- Python Virtual Atomic Force Microscope☆13Updated 4 years ago
- The ability to manipulate domains and domain walls underpins function in a range of next-generation applications of ferroelectrics. While…☆22Updated last year
- Inverse Design of Materials by Multi-objective Differential Evolution☆47Updated 5 years ago
- Machine Learning Package Targeted for Amorphous Materials.☆19Updated 4 years ago
- Python implementation of FitIt software to fit X-ray absorption near edge structure (XANES) extended with additional features.☆36Updated 5 months ago
- Python library to handle Scanning Probe Microscopy Images. Can read nanoscan .xml data, Bruker AFM images, Nanonis SXM files as well as i…☆68Updated last week
- Software for analysis of time-resolved and transient absorption data from pump-probe experiments (1D) and 2D-IR☆14Updated last month
- DiffPy-CMI tutorial files for the ADD2019 workshop, ILL, Grenoble☆12Updated 6 years ago
- ☆58Updated 2 weeks ago
- ☆18Updated 5 months ago
- ☆16Updated 5 years ago
- Deep learning for crystal-structure recognition and analysis of atomic structures☆41Updated last year
- TEM data quantification library through a model-based approach☆18Updated 2 weeks ago
- A 1D drift-diffusion simulator for semiconductor devices (LEDs, solar cells, diodes, organics, perovskites)☆68Updated last week
- Home for GSAS-II: crystallographic and diffraction-based structural characterization of materials☆58Updated this week
- Some examples of using pymatgen code☆22Updated 8 months ago
- Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automate…☆35Updated 4 years ago
- Genetic algorithm for structure and phase prediction interfaced to GULP, LAMMPS and VASP.☆57Updated last year
- Jupyter notebooks describing data analysis procedures for my published/submitted papers☆13Updated 4 years ago