Overview

AI for Science studies how computational methods can help researchers analyze data, build and test models, design experiments, and discover new explanations or materials. Approaches include scientific foundation models, retrieval and multi-agent systems, causal and symbolic methods, Bayesian optimization, and tools that connect AI to simulators, code, instruments, and high-performance computing. Benchmarks increasingly test scientific coding, image interpretation, simulator use, experimental design, and multi-step research workflows. AI often helps with well-specified tasks, but reliable open-ended discovery remains difficult: systems can make plausible errors, struggle with mechanistic reasoning, and need stronger verification, provenance, and evaluation against expert work.

Latest papers

CardsList

161 papers10 papers in the last four weeks, down 23% on the four weeks before. 0.1% of all new papers.

  1. Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning

    Apr 30, 2026Junpeng Ding, Zichen Tang, Haihong E +17AI for ScienceVLM Reasoning

  2. Heterogeneous Scientific Foundation Model Collaboration

    Apr 30, 2026Zihao Li, Jiaru Zou, Feihao Fang +6AI for ScienceLLM Agent Orchestration

  3. SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data

    Apr 29, 2026Dianyu Liu, Chuan Qin, Xi Chen +6AI for ScienceAutomated Evaluation

  4. Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows

    Apr 28, 2026Shivam Rawat, Lucie FlekAgent Failure AnalysisAI for Science

  5. OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models

    Apr 25, 2026Yida Xue, Ningyu Zhang, Tingwei Wu +5AI for ScienceMultimodal Pretraining

  6. An Axiomatic Benchmark for Evaluation of Scientific Novelty Metrics

    Apr 16, 2026Miri Liu, ChengXiang ZhaiAI for ScienceBenchmark Design

  7. The Agentification of Scientific Research: A Physicist's Perspective

    Apr 16, 2026Xiao-Liang QiAI for ScienceAI Agents for Scientific Discovery

  8. El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation

    Apr 16, 2026Zijian Zhang, Aiwei Yin, Amaan Baweja +4Multi-Agent LLM SystemsAI for Science

  9. Artificial Intelligence Index Report 2026

    Apr 14, 2026Sha Sajadieh, Loredana Fattorini, Raymond Perrault +20AI for ScienceAI Governance

  10. Can AI Detect Life? Lessons from Artificial Life

    Apr 13, 2026Ankit Gupta, Christoph AdamiAI for Science

  11. COMPOSITE-Stem

    Apr 10, 2026Kyle Waters, Lucas Nuzzi, Tadhg Looram +20Scientific Agent BenchmarksAI Agent Benchmarks

  12. An Analysis of Artificial Intelligence Adoption in NIH-Funded Research

    Apr 8, 2026Navapat Nananukul, Mayank KejriwalLarge Language Model-Based Text ClassificationAI-Assisted Scientific Research

  13. Infrastructure First: Enabling Embodied AI for Science in the Global South

    Apr 8, 2026Shaoshan Liu, Jie Tang, Marwa S. Hassan +4AI for ScienceEmbodied AI

  14. BloClaw: An Omniscient, Multi-Modal Agentic Workspace for Next-Generation Scientific Discovery

    Apr 1, 2026Yao Qin, Yangyang Yan, Jinhua Pang +1AI Agents for Scientific DiscoveryAI for Science

  15. Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing

    Mar 31, 2026Derek Anderson, Amit Bashyal, Markus Diefenthaler +13AI for ScienceScientific Workflow Automation

  16. Challenges and opportunities for AI to help deliver fusion energy

    Mar 26, 2026Adriano Agnello, Helen Brooks, Cyd Cowley +5AI for ScienceHuman-AI Collaboration

  17. Toward Artificial Intelligence Enabled Earth System Coupling

    Mar 26, 2026Maria Kaselimi, Anna BelehakiAI for Science

  18. The AI Scientific Community: Agentic Virtual Lab Swarms

    Mar 22, 2026Ulisses Braga-NetoAI for ScienceAutonomous Scientific Discovery

  19. Bridging the Experimental Last Mile: Digitizing Laboratory Know-How for Safe AI-Assisted Support

    Mar 16, 2026Akira Miura, Yuki Sasahara, Momoka Demura +3AI for ScienceHuman-in-the-Loop AI

  20. AI Can Learn Scientific Taste

    Mar 15, 2026Jingqi Tong, Mingzhe Li, Hangcheng Li +20AI for ScienceScientific Hypothesis Generation

  21. STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks

    Mar 15, 2026Sungwoo KangSpatiotemporal GNNsPrecision Agriculture

  22. Research Paradigm of Materials Science Tetrahedra with Artificial Intelligence

    Mar 14, 2026Shiyun Zhang, Yibo Yao, Haoquan Long +4AI for ScienceMaterials Science

  23. MITRA: An AI Assistant for Knowledge Retrieval in Physics Collaborations

    Mar 10, 2026Abhishikth Mallampalli, Sridhara DasuKnowledge-Intensive QAAI for Science

  24. ToolRosella: Translating Code Repositories into Standardized Tools for Scientific Agents

    Mar 10, 2026Shimin Di, Xujie Yuan, Hanghui Guo +10LLM Tool UseTool-Using Agents

  25. Logos: An evolvable reasoning engine for rational molecular design

    Mar 10, 2026Haibin Wen, Zhe Zhao, Fanfu Wang +4Molecule DesignAI for Science

  26. SIQA: Toward Reliable Scientific Image Quality Assessment

    Mar 5, 2026Wenzhe Li, Liang Chen, Junying Wang +6Image Quality AssessmentMultimodal Model Evaluation