cs-mubashir/Materials-Informatics

Dataset Card for "Materials-Informatics"

Dataset Name: Materials-Informatics

Dataset Owner: cs-mubashir

Language: English

Size: ~600+ entries

Last Updated: May 2025

Source: Extracted from arxiv dataset research repository

Dataset Summary

The Materials-Informatics dataset is a curated collection of research papers from arxiv repository focusing on the intersection of artificial intelligence (AI) and materials science and engineering (MSE). Each entry provides metadata and descriptive information about a research paper, including its title, authors, abstract, keywords, publication year, material types, AI techniques used, and application domains.

This dataset aims to serve as a valuable resource for researchers and practitioners working at the convergence of machine learning, deep learning, and materials discovery/design. It can be used for tasks like information retrieval, scientific NLP, trend analysis, paper classification, and LLM fine-tuning for domain-specific tasks.