Autonomous Scientific Discovery

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Overview

The field studies how AI can move beyond answering questions to uncovering patterns, mechanisms, equations, and useful experiments across mathematics, physics, biology, and materials science. Approaches include symbolic regression and sparse equation identification, active learning and Bayesian experiment selection, and LLM-based agents that coordinate coding, simulation, literature review, or laboratory work. Evaluation increasingly uses executable benchmarks, held-out data, formal proofs, and experimental validation to check both results and the evidence behind them. Systems can handle well-specified workflows, but open-ended insight, reliable mechanism claims, identifiability, and reproducibility remain difficult, motivating stronger verification and human oversight.

Latest papers

CardsList

128 papers22 papers in the last four weeks, up 47% on the four weeks before. 0.1% of all new papers.

  1. Evolutionary Intelligence for Scientific Discovery: From Evolutionary Computation to Cumulative Discovery Systems

    Jul 10, 2026Chao Wang, Lingling Li, Fang Liu +1Evolutionary OptimizationScientific Discovery

    1*School of Artificial Intelligence, Xidian University, No. 2 South Taibai Road, Xi’an, 710071, Shaanxi, China.

  2. Statistically Meaningful Geometry and Gauge Symmetry Breaking: A Geometric Foundation for Scientific Discovery and Intelligence Emergence

    Jul 3, 2026Bing Cheng, Yi-Shuai Niu, Howell Tong +1AI for ScienceCausal Discovery

    Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China · Beijing Institute of Mathematical Sciences and Applications (BIMSA), Beijing, China · Department of Statistics, London School of Economics and Political Science, London WC2A 2AE, UK +3

  3. Autonomous discovery of traffic laws with AI traffic scientists

    Jul 2, 2026Xingyuan Dai, Yue Liu, Xiaoyan Gong +9Intelligent Transportation SystemsAutonomous Scientific Discovery

    State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China. · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China. · China Telecom Research Institute, Beijing, 102209, China. +2

  4. Autonomous Scientific Discovery via Iterative Meta-Reflection

    Jul 1, 2026Bingchen Zhao, Sara Beery, Oisin Mac AodhaScientific Hypothesis GenerationAutonomous Scientific Discovery

    University of Edinburgh · Massachusetts Institute of Technology

  5. LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data

    Jul 1, 2026Hanning Yang, Meropi Karakioulaki, Lennart Purucker +3Autonomous Scientific DiscoveryLarge Language Model-Guided Scientific Discovery

    Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Germany · Department of Dermatology, Medical Faculty and Medical Center, University of Freiburg, Germany · Prior Labs, University of Freiburg, Germany

  6. FARS: A Fully Automated Research System Deployed at Scale

    Jun 30, 2026Qiong Tang, Tianxiang Sun, Xiangkun Hu +54AI Agent EvaluationAutonomous Scientific Discovery

  7. BayesEvolve: Explicit Belief States for Autonomous Scientific Discovery

    Jun 29, 2026Xuening Wu, Shan Yu, Qianya Xu +1Bayesian OptimizationAutonomous Scientific Discovery

    Pfizer, Shanghai, China · Independent Researcher, Hangzhou, China · University of California San Diego, La Jolla, CA, USA +1

  8. Socratic agents for autonomous scientific discovery in high-dimensional physical systems

    Jun 25, 2026Xianrui Zeng, Pengfei Liu, Yirui Zang +5Scientific Hypothesis GenerationAutonomous Scientific Discovery

    Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China. · Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China. · Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China. +1

  9. auto-psych: Automating the science of mind using agent-driven theory discovery and experimentation

    Jun 24, 2026Ben Prystawski, Kushin Mukherjee, Daniel Wurgaft +4Computational Cognitive ModelingAutonomous Scientific Discovery

    Department of Psychology, Stanford University · Department of Computer Science, Stanford University

  10. Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientist

    Jun 24, 2026Akshay K. Jagadish, Younes Strittmatter, Nori Jacoby +5Computational Cognitive ModelingAutonomous Scientific Discovery

    Princeton AI Lab, Princeton University

  11. LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search

    Jun 23, 2026Nikhil Abhyankar, Sha Li, Sanchit Kabra +3Nonlinear System IdentificationSystem Identification

    Virginia Tech

  12. Position: Correct Answer, Wrong Mechanism -- When AI Scientists Defend General Claims Their Own Data Contradicts

    Jun 22, 2026Steven Young EuligAI Agent ReliabilityReasoning Evaluation

    Department of Physics and Laboratory for Particle Physics and Cosmology (LPPC), Harvard University, Cambridge, MA 02138, USA.

  13. AI Scientists as Engines of Discovery: A Case for Development within Reformed Institutions

    Jun 22, 2026Raul Jimenez, Boris Bolliet, Francisco Villaescusa-Navarro +7AI Agents for Scientific DiscoveryScientific Hypothesis Generation

    Institute of Cosmos Sciences (ICCUB), University of Barcelona, Barcelona, Spain · ICREA, Barcelona, 08010, Spain · Cavendish Astrophysics, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK +10

  14. Empowering Polymeric Materials Discovery by Artificial Intelligence

    Jun 18, 2026Chenyao Ma, Linda Zhang, Yuheng Chen +29AI Agents for Scientific DiscoveryMaterials Science

    Suzhou MatSource Technology Co., Ltd., Suzhou 215000, Jiangsu, China. · Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan. · Frontier Research Institute for Interdisciplinary Sciences (FRIS), Tohoku University, Sendai, 980-8577, Japan. +11

  15. InvDesMobility: a reliability-gated first-principles feedback framework for closed-loop materials discovery

    Jun 15, 2026Wen-Kao Li, Ze-Feng Gao, Peng-Jie Guo +2Materials Property PredictionAutonomous Scientific Discovery

    School of Physics and Key Laboratory of Quantum State Construction (Ministry of Education), Renmin University of China, Beijing 100872, China

  16. EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery

    Jun 11, 2026Amy Xin, Jiening Siow, Junjie Wang +5Autonomous Scientific DiscoveryAutonomous Research Agents

    Department of Computer Science and Technology, Tsinghua University · School of Information, Renmin University of China

  17. Extracting Governing Equations from Latent Dynamics via Multi-View Contrastive Learning

    Jun 11, 2026Paolo Muratore, Mackenzie Weygandt MathisContrastive LearningParameter Identifiability

    EPFL

  18. Benchmarking AI Agents for Addressing Scientific Challenges Across Scales

    Jun 10, 2026Tianyu Liu, Allen Xin Wang, Antonia Panescu +30AI for ScienceScientific Agent Benchmarks

    Yale University, CT, USA · The Pennsylvania State University, PA, USA · Northeastern University, MA, USA +7

  19. Harnessing the Collective Intelligence of AI Agents in the Wild for New Discoveries

    Jun 9, 2026Federico Bianchi, Yongchan Kwon, Aneesh Pappu +1AI Agents for Scientific DiscoveryMulti-Agent Collaboration

    Together AI · Stanford University

  20. Data-driven discovery of governing differential equations across physical systems

    Jun 8, 2026Siyu Lou, Hao Xu, Wenguan Wang +6PDE DiscoveryAutonomous Scientific Discovery

    School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Ningbo Key Laboratory of Advanced Manufacturing Simulation, Eastern Institute of Technology, Ningbo, Ningbo, China · The State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China. +5

  21. Self-Evolving Scientific Agent Designs Physically Reasoned White-Box Fluid Control

    Jun 7, 2026Boai Sun, Wenjin Guo, Zongmin Yu +1Robotic ControlContinuous Control

    National University of Singapore, Singapore.

  22. TianJi-Environ: An Autonomous AI Scientist for Atmospheric Environmental Research

    Jun 5, 2026Haoluo Zhao, Hongchun Zhang, Nan Li +6Multi-Agent SystemsAutonomous Scientific Discovery

    School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China · College of Environmental Science and Engineering, Nanjing University of Information Science and Technology,2026 Nanjing, China · State Key Laboratory of Climate System Prediction and Risk Management (CPRM), Nanjing University of Information Science and Technology, Nanjing, 210044, China +1

  23. Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design

    Jun 1, 2026Anand Babu, Rogério Almeida Gouvêa, Gian-Marco RignaneseCrystal Structure GenerationAutonomous Scientific Discovery

    Institute of Condensed Matter and Nanosciences, Université Catholique de Louvain, Louvain-la-Neuve, Belgium. · WEL Research Institute, Avenue Pasteur 6, Wavre, Belgium.

  24. Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence

    May 31, 2026Fiona Y. Wang, Markus J. BuehlerAI Agents for Scientific DiscoveryAutonomous Scientific Discovery

    Laboratory for Atomistic and Molecular Mechanics Department of Biological Engineering Massachusetts Institute of Technology Cambridge, MA 02139, USA · Laboratory for Atomistic and Molecular Mechanics Department of Civil and Environmental Engineering Department of Mechanical Engineering Center for Computational Science and Engineering Schwarzman College of Computing Massachusetts Institute of Technology Cambridge, MA 02139, USA

  25. Science Earth: Towards A Planet-Scale Operating System for AI-Native Scientific Discovery

    May 31, 2026Zhe Zhao, Haibin Wen, Yingcheng Wu +10Multi-Agent CoordinationMulti-Agent Orchestration

    Department of Pathology, Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA · Scripps Research, La Jolla, CA, USA · Division of Biostatistics, Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA +4

  26. ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

    May 28, 2026Wanghan Xu, Shuo Li, Tianlin Ye +48LLM Agent EvaluationAI Agent Benchmarks

  27. AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

    May 27, 2026Shanghua Gao, Ada Fang, Marinka ZitnikProtein Fitness PredictionMulti-Agent Collaboration

    Harvard University

  28. When Should an AI Scientist Stop? Verifiable Experiment Steering and Refusal for Autonomous Discovery

    May 26, 2026Neel Tushar Shah, Manglam KartikModel MisspecificationAutonomous Scientific Discovery

    Indian Institute of Technology Bombay, Mumbai, India.

  29. Workflow Closure Is Not Scientific Closure in Auto-Research Systems

    May 25, 2026Shuai Wang, Xinyuan Tian, Pangpang Liu +1Human-in-the-Loop EvaluationAutonomous Scientific Discovery

    School of Public Health, Yale University, USA

  30. AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation

    May 20, 2026D. -M. Mei, K. Acharya, C. M. Adhikari +51Materials ScienceAutonomous Scientific Discovery