Applications
Battery property prediction
SQL query agent with LangChain
Research recommendation with Retrieval-Augmented Generation (RAG)
Using LLMs for Battery Research
Welcome to our LLM platform designed specifically for enhancing your battery research endeavors. Both battery scientists and engineers, as well as machine learning researchers can utilize the various functions available on the website, for example, to recommend scientific papers, battery materials, and estimate formulation properties based on your input.
The main functions of the website are:
- Recommend scientific papers
- Show and recommend materials based on connected database
- Estimate properties with our model and LLMs
- Chat or process other documents with LLMs
- Prompt Engineering Tool: store, combine and retrieve prompts