chatmof 0.1.5

chatmof

ChatMOF : An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks

ChatMOF is an autonomous Artificial Intelligence (AI) system that is built to predict and generate of metal-organic frameworks (MOFs). By leveraging a large-scale language model (gpt-3.5-turbo), ChatMOF extracts key details from textual inputs and delivers appropriate responses, thus eliminating the necessity for rigid structured queries. The system is comprised of three core components (i.e. an agent, a toolkit, and an evaluator) and it forms a robust pipeline that manages a variety of tasks, including data retrieval, property prediction, and structure generation. The study further explores the merits and constraints of using large language models (LLMs) AI system in material sciences using and showcases its transformative potential for future advancements.

NOTE: We are working on code for a command line interface to make it easier to use.

Install

Dependencies

NOTE: This package is primarily tested on Linux. We strongly recommend using Linux for the installation.

python>=3.9

Installation

$ git clone https://github.com/Yeonghun1675/ChatMOF.git
$ cd ChatMOF/
$ pip install -e .

For MOF generation, you need to install MOFTransformer's GRIDAY.

$ moftransformer install-griday

How to use ChatMOF

You can use it by running chatmof's main.py.

$ cd [dir_chatmof]/chatmof/
$ python main.py

If you want to change the settings, please modify chatmof/config.py.

Example of ChatMOF

1) Search task

2) prediction task

3) prediction task

Architecture

ChatMOF comprises three core components: an agent, toolkits, and an evaluator. Upon receiving a query from human, the agent formulates a plan and selects a suitable toolkit. Subsequently, the toolkit generates outputs following the proposed plan, and the evaluator makes these results into a final response.

Citation

if you want to cite ChatMOF, please refer to the following paper:

ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks, arxiv:2308.01423 [link]

Contributing 🙌

Contributions are welcome! If you have any suggestions or find any issues, please open an issue or a pull request.

License 📄

This project is licensed under the MIT License. See the LICENSE file for more information.