sparks-baird / self-driving-lab-demoLinks
Software and instructions for setting up and running a self-driving lab (autonomous experimentation) demo using dimmable RGB LEDs, an 8-channel spectrophotometer, a microcontroller, and an adaptive design algorithm, as well as extensions to liquid- and solid-based color matching demos.
☆77Updated 3 months ago
Alternatives and similar repositories for self-driving-lab-demo
Users that are interested in self-driving-lab-demo are comparing it to the libraries listed below
Sorting:
- Honegumi (骨組み) is an interactive "skeleton code" generator for API tutorials focusing on optimization packages.☆60Updated this week
- A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.☆44Updated last year
- AlabOS: Managing the workflows in the Autonomous lab☆46Updated 2 months ago
- Application of Large Language Models (LLM) for computational materials science - visit jan-janssen.com/LangSim☆69Updated 3 months ago
- MSE5540/6640 Materials Informatics course at the University of Utah. Learn how data science tools are revolutionizing materials science!☆175Updated 2 months ago
- Encode/decode a crystal structure to/from a grayscale PNG image for direct use with image-based machine learning models such as Palette.☆37Updated 2 years ago
- ☆64Updated 10 months ago
- The materials for the Fall ML in Materials course at the UTK MSE☆87Updated last year
- A public repository collecting links to state of the art QA and evaluation sets for various ML and LLM applications☆100Updated last year
- ☆18Updated last year
- The architector python package - for 3D metal complex design. C22085☆69Updated last month
- Codebase to drive the Perovskite Automated Spin Coat Assembly Line (PASCAL) in the Fenning research group.☆19Updated last week
- 3-D Inorganic Crystal Structure Generation and Property Prediction via Representation Learning (JCIM 2020)☆41Updated 2 years ago
- ☆26Updated last year
- ☆42Updated last year
- train and use graph-based ML models of potential energy surfaces☆108Updated 2 weeks ago
- The QMOF Database: A database of quantum-mechanical properties for metal-organic frameworks.☆152Updated 4 months ago
- Python package to aid materials design and informatics☆125Updated 2 weeks ago
- A collection of scikit-learn compatible utilities that implement methods born out of the materials science and chemistry communities☆87Updated 2 weeks ago
- ☆108Updated 2 months ago
- Code for automated fitting of machine learned interatomic potentials.☆126Updated 2 weeks ago
- This repository is no longer maintained. For the latest updates and continued development, please visit: https://github.com/atomgptlab/ja…☆92Updated 3 months ago
- scalable molecular simulation☆137Updated last week
- Shared repo for trajectory analysis and infrastructure development☆22Updated last year
- A community-curated list of resources related to self-driving labs which combine hardware automation and artificial intelligence to accel…☆185Updated this week
- An overview of literature that discusses the use of machine learning for atomistic simulations☆45Updated 2 years ago
- A template for Python packages. Developed by the @quantum-accelerators☆62Updated 2 weeks ago
- Agent-based sequential learning software for materials discovery☆63Updated last year
- Predict materials properties using only the composition information!☆111Updated 2 years ago
- A Python library for building atomic neural networks☆119Updated 2 weeks ago