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Applications


Battery properties prediction

SQL query agent with LangChain
Research recommendation with Retrieval-Augmented Generation (RAG)

How it works

Using LLMs for Battery Research

Welcome to our LLM platform designed specifically for enhancing your battery research endeavors. Both Lab user and ML researchers can utilize the various functions available on the website, for example, to recommend scientific papers, battery materials, and estimate product 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

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