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September 10, 2025ACS CatalysisOpen Access

Co-intelligent Design of Catalysis Research with Large Language Models: Hype or Reality?

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Key Points

Catalysis research benefits from innovative applications of large language models, and this potential may redefine methodologies.
Analysis indicates a shift toward intelligent design in research, with artificial intelligence enhancing traditional processes.
Exploration of integration between AI language models and catalysis shows promise for future developments in the field.
Implications highlight the need for further investigation into the practical applications of AI in enhancing scientific research.

Implication

Observational analysis reveals advancements in catalysis research with language models, suggesting significant innovation potential.

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Cite This Study

David Balcells (2025) studied this question.

synapsesocial.com/papers/68d44a1d31b076d99fa52cb4 https://doi.org/10.1021/acscatal.5c04238

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Leveraging Large Language Models for Understanding Fundamental Principles of CatalysisOriginal Research · 2026
2Inside Back Cover: Accelerating Catalyst Materials Discovery With Large Artificial Intelligence ModelsOriginal Research · 2026
3Accelerating Catalysis Understanding via Large Language Model Data Extraction and Shallow Machine Learning Techniques2025 · 9 citations
4CataLM: Empowering Catalyst Design Through Large Language Models2024 · 2 citations
5A Dual-Mode Large Language Model Assistant for On-Surface Reaction via Fine-Tuning and Retrieval-Augmented GenerationOriginal Research · 2026

More related papers

Correction: Catalysis meets machine learning: a guide to data-driven discovery and design2026
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models2026
Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models2026

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