A Process-Centric Survey of AI for Scientific Discovery Through the EXHYTE Framework

Abstract excerpt

<title>Abstract</title> <p>Large language models (LLMs) and agent systems are increasingly transforming scientific discovery, driving progress across chemistry, biology, materials science, and physics. Yet most existing work and surveys remain fragmented, focusing on isolated tasks such as idea generation or experiment design without addressing how these components fit within the broader discovery process. To bri...

Topics

Open a Topic to create a Post that cites this publication.

• Diagnosis, Differential
• Genetics, Bioinformatics, and Biomedical Research
• Phenotype
• Rare Diseases

Identifiers and source

Literature Corpus work

89f8d79e-8c9e-525c-b02e-244c4a582615

DOI

10.21203/rs.3.rs-8370059/v1