Available Projects
Large Language Model (LLM) for Steel Development
This PhD project applies Large Language Models (LLMs) and machine learning to design steels with improved strength and formability for industrial use. The student will develop AI tools for automated data collection, feature extraction, and predictive modelling, integrating processing and compositional data. Working with major industrial and international partners, the project supports sustainable, data-driven steel design and contributes to zero-waste manufacturing initiatives.
Primary supervisor: Dr Ishwar Kapoor - Email: Ishwar.Kapoor@warwick.ac.uk
Project detail:
Background: Steel with both high strength and formability are promising structural materials for wide application across different industries. Yet, design of such alloys is challenging, since strength and formability often share a trade-off. Steel are widely utilised in automotive lightweight and construction industries.
Project Objectives: We invite a motivated student to develop Large Language Model (LLM) for the design of Steel for industrial applications.
Research Tasks: The selected student will engage in the following research tasks:
1. Building LLM model for Data collection
2. Data Wrangling: Prepare and clean the data for analysis, ensuring it is ready for in-depth exploration.
3. Data Exploration: Investigate the plots to uncover patterns, trends, and anomalies that may impact product properties.
4. Feature Extraction: Extract relevant features from the data that can serve as predictors for strength/conductivity.
5. Machine Learning Model: Develop a robust machine learning model capable of predicting new Al-alloy development.
The value: Network with one of the world’s largest steel company and international collaborator and adding the impact in ongoing project.
What We Are Looking For: We are searching for a student with a strong interest in data science and machine learning, coupled with a passion for materials engineering. This project offers a unique opportunity to apply data-driven insights to optimize a real-world materials and manufacturing process. Research Oriented to write journal articles.
References:
https://doi.org/10.20517/jmi.2024.21
https://doi.org/10.1016/j.actamat.2024.120663
How to apply for admission: www.warwick.ac.uk/pgrengineering
How to apply for a scholarship: https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/
The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.