AI Agents for Scientific Discovery

Overview

AI agents for scientific discovery aim to help researchers move from questions and hypotheses to analysis, experiments, and evidence-backed conclusions. Common approaches combine language models with literature retrieval, code execution, scientific simulators, laboratory instruments, and specialized agents in iterative hypothesis–test–revision loops. Work spans fields such as materials science, biology, physics, chemistry, and mathematics, with systems also developing reusable skills and memories to build on prior results. A central challenge is ensuring that promising outputs are genuinely novel, scientifically valid, reproducible, and grounded in evidence, especially in long workflows and physical experiments.

Latest papers

CardsList

288 papers57 papers in the last four weeks, up 111% on the four weeks before. 0.3% of all new papers.

  1. EmbodiedLab: Benchmarking Embodied Agents That Act to Know

    Oct 26, 2026Hongcheng Gao, Zelin Zheng, Alex Zhou +18Embodied Agent BenchmarksAI Agents for Scientific Discovery

  2. SEEK: Skill Extraction with Evolving Knowledge against Frontier Science Agents

    Oct 25, 2026Cheng Gui, Xiang Zheng, Yutao Wu +5AI Agent SecurityAgent Skill Security Auditing

  3. LegoSR: A Unified Framework for Self-improving Agent-Guided Scientific Discovery

    Oct 24, 2026Hao Mao, Xu T. Liu, Peng Zhao +2AI Agents for Scientific DiscoverySymbolic Regression

  4. POSEIDON: Scaling Training Environments for Scientific Agents from Code Repositories

    Oct 23, 2026Qifan Zhang, Yuhan Li, Nuo Chen +8AI Agents for Scientific DiscoveryLLM Agent Training

  5. PULSES: multi-agent AI for autonomous excited-state model building and dynamics

    Oct 23, 2026Fangning Ren, Lechen Dong, Xu Chen +3AI Agents for Scientific DiscoveryAutonomous Research Agents

  6. PersonaScienceBench: Evaluating Scientific Agents with Diverse Simulated Researchers

    Oct 23, 2026Siyang Wu, Weizhi Zhang, Chen Yang +29Scientific Agent BenchmarksLLM Agent Evaluation

  7. ExpEvolve: Structuring and Reusing Experience for Open-Ended Discovery

    Oct 21, 2026Yongqiang Chen, Chenxi Liu, Deyu Zou +4AI Agents for Scientific DiscoveryLarge Language Model-Guided Scientific Discovery

  8. GBClaw: An agentic AI framework for atomistic grain boundary research and mechanistic discovery

    Oct 20, 2026Yazhuo Liu, Kunqing Ding, Xiaoguo Gong +8Materials ScienceAI Agents for Scientific Discovery

  9. Modeling Authentic Research Trajectories: A Graph View of Research Ideation

    Oct 19, 2026Ruochen Li, Zhiyu ChenResearch Idea GenerationAI Agents for Scientific Discovery

  10. Magnolia: A Persistent-Memory Agent Framework for Computational Chemistry

    Oct 19, 2026Tao Jiang, Benjamin Navet, Yousouf Taghzouti +3AI Agents for Scientific DiscoveryMemory-Augmented Language Model Agents

  11. Epi: Towards a Persistent, Self-Improving Agent for Autonomous Research

    Oct 18, 2026Yue Huang, Zhangchen Xu, Xiaonan Luo +16Operations ResearchAutonomous Research Agents

  12. Aptamers as a sandbox for lab-in-the-loop agentic molecular discovery

    Oct 17, 2026Zachary Cutts, John Coller, Rachel Chen +9AI Agents for Scientific DiscoveryMolecule Design

  13. TCMScience: An Autonomous Scientist for Traditional Chinese Medicine

    Oct 17, 2026Yanlan Kang, Ruiqi Liu, Xinpei Gu +4AI Agents for Scientific DiscoveryScientific Workflow Automation

  14. From Research Goals to Scientific Closure: Evaluating Agents Through Evidence-Supported Physics Research

    Oct 15, 2026Yijia Mao, Song Dai, Tao Chen +14Scientific Agent BenchmarksAI Agents for Scientific Discovery

  15. Scaling Discovery Requires Forgetting

    Oct 14, 2026Shangyin Tan, Ben Zhou, Lakshya A Agrawal +8AI Agents for Scientific DiscoveryLLM Agent Memory

  16. SwarmRSI: Recursive Self-Improvement through Evolving Scientific Agent Swarm

    Oct 14, 2026Qianru Meng, Xi Zhang, Konstantinos Papakostas +9AI Agents for Scientific DiscoveryRecursive Self-Improvement

  17. Into the Unknown: Benchmarking AI agents on open scientific research problems

    Oct 13, 2026Seungone Kim, Jiayi Geng, Young-Jun Lee +25Scientific Agent BenchmarksAI-Assisted Scientific Research

  18. Beyond Equation Search: Conjecture-Guided Discovery with SCOPE and ClosureBench

    Oct 13, 2026Yuxiao Hu, Qian Li, Ding Wang +4Scientific DiscoveryAI Agents for Scientific Discovery

  19. Drafting Agents, Not Just Tokens: Speculative Recursive Self-Improvement for Agentic Systems

    Oct 12, 2026Xin Xu, Ke Cheng, Hao Wang +11LLM Agent Self-ImprovementRecursive Self-Improvement

  20. SLDBench v2: Active Scaling Law Discovery

    Oct 12, 2026Lingbei Meng, Rui Huang, Zhirong Shen +5AI Agents for Scientific DiscoveryLanguage Model Scaling Laws

  21. Triage-PiEvo: Evidence Admission for Principle-Evolving Scientific Agents

    Oct 10, 2026Peize Li, Yingming Pu, Xingguo Xu +3AI Agents for Scientific DiscoveryLarge Language Model-Guided Scientific Discovery