Applications of natural language processing and large language models in materials discovery

Applications of natural language processing and large language models in materials discovery

Blog Article

Abstract The transformative impact of artificial intelligence (AI) technologies on materials science has revolutionized the study of materials problems.By leveraging well-characterized datasets derived from the scientific literature, AI-powered tools such as Natural Language Processing (NLP) have opened new avenues norway maple crimson sentry to accelerate materials research.The advances in NLP techniques and the development of large language models (LLMs) facilitate the efficient rose jelly beans extraction and utilization of information.This review explores the application of NLP tools in materials science, focusing on automatic data extraction, materials discovery, and autonomous research.We also discuss the challenges and opportunities associated with utilizing LLMs and outline the prospects and advancements that will propel the field forward.