Prompt Engineering for AI-Driven Polymer Materials Data Retrieval

This project aims to tackle a critical challenge in materials science: the efficient extraction of valuable data from a vast array of sources, including scientific literature, patents, and technical reports. By integrating advanced AI language models and tailored prompt engineering, we intend to create an intelligent system that streamlines the process of retrieving polymer-related information.
The anticipated benefit for the partner organization lies in the ability to access relevant materials data more quickly and accurately, ultimately reducing research time and enhancing decision-making. This innovative approach will not only elevate the quality of insights but also accelerate the development of new materials, giving the partner organization a competitive edge in an ever-evolving market. Through this project, we aspire to empower researchers with the tools they need to drive forward the future of materials science.

Faculty Supervisor:

Michael Thompson

Student:

Partner:

AI Materia

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

McMaster University

Program: