Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry

2025/01/01 by Austin M. Mroz, Annabel R. Basford, Friedrich Hastedt +16 · 1 voice
Materials Science · Computer Science · #Machine Learning in Materials Science #Computational Drug Discovery Methods

paper · pdf · doi:10.1039/d5cs00146c

openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Abstract

We offer ten diverse perspectives exploring the transformative potential of artificial intelligence (AI) in chemistry, highlighting many of the challenges we face, and offering potential strategies to address them.

Citations

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Discussions

• Very happy to put forward our thoughts on how AI/LLMs can enhance chemistry/materials data management & analysis, and what's needed to enable it, to this expansive perspective by Austin Mroz, @jelfsch [bsky, 3 points, 0 comments]

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