Difference between revisions of "Science Agents"

From GISAXS
Jump to: navigation, search
(→‎AI/ML Methods in Science)
(→‎Autonomous Ideation)
Line 37: Line 37:
 
* 2025-01: [https://arxiv.org/abs/2501.13299 Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents]
 
* 2025-01: [https://arxiv.org/abs/2501.13299 Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents]
 
* 2025-02: [https://arxiv.org/abs/2502.13025 Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks]
 
* 2025-02: [https://arxiv.org/abs/2502.13025 Agentic Deep Graph Reasoning Yields Self-Organizing Knowledge Networks]
 +
* 2025-06: [https://arxiv.org/abs/2506.00794 Predicting Empirical AI Research Outcomes with Language Models]
  
 
==Adapting LLMs to Science==
 
==Adapting LLMs to Science==

Revision as of 19:51, 4 June 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

Bio

AI/ML Methods in Science

Imaging

Materials

Chemistry

Biology

Medicine

See: AI_Agents#Medicine

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

Science Datasets

See Also

Retrieved from "http://gisaxs.com/index.php?title=Science_Agents&oldid=7878"