Difference between revisions of "Science Agents"

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* 2023-12: [https://www.nature.com/articles/s41524-024-01423-2 Opportunities for retrieval and tool augmented large language models in scientific facilities]
 
* 2023-12: [https://www.nature.com/articles/s41524-024-01423-2 Opportunities for retrieval and tool augmented large language models in scientific facilities]
 
* 2023-12: [https://arxiv.org/abs/2312.17180 Virtual Scientific Companion for Synchrotron Beamlines: A Prototype]
 
* 2023-12: [https://arxiv.org/abs/2312.17180 Virtual Scientific Companion for Synchrotron Beamlines: A Prototype]
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* 2023-12: [https://www.nature.com/articles/s41586-023-06792-0 Autonomous chemical research with large language models]
 
* 2024-01: [https://iopscience.iop.org/article/10.1088/2632-2153/ad52e9 Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design]
 
* 2024-01: [https://iopscience.iop.org/article/10.1088/2632-2153/ad52e9 Synergizing Human Expertise and AI Efficiency with Language Model for Microscopy Operation and Automated Experiment Design]
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* 2024-06: [https://pubs.rsc.org/en/content/articlelanding/2025/dd/d4dd00143e From Text to Test: AI-Generated Control Software for Materials Science Instruments]
 
* 2024-12: [https://arxiv.org/abs/2412.18161 VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities]
 
* 2024-12: [https://arxiv.org/abs/2412.18161 VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities]
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* 2025-01: [https://www.science.org/doi/10.1126/sciadv.adr4173 Large language models for human-machine collaborative particle accelerator tuning through natural language]
  
 
==AI/ML Methods tailored to Science==
 
==AI/ML Methods tailored to Science==

Revision as of 13:12, 2 April 2025

AI Use-cases for Science

Literature

LLM extract data from papers

AI finding links in literature

(Pre) Generate Articles

Explanation

Autonomous Ideation

Adapting LLMs to Science

AI/LLM Control of Scientific Instruments/Facilities

AI/ML Methods tailored to Science

Regression (Data Fitting)

Tabular Classification/Regression

Symbolic Regression

Literature Discovery

Commercial

AI/ML Methods in Science

Chemistry

Biology

Successes

AI/ML Methods co-opted for Science

Mechanistic Interpretability

Train large model on science data. Then apply mechanistic interpretability (e.g. sparse autoencoders, SAE) to the feature/activation space.

Uncertainty

Science Benchmarks

Science Agents

Reviews

Specific

Science Multi-Agent Setups

AI Science Systems

Inorganic Materials Discovery

Chemistry

LLMs Optimized for Science

Impact of AI in Science

Related Tools

Literature Search

Data Visualization

Generative

Chemistry

See Also