材料发现论文趋势 2023–2026

晶体与材料

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 208 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

材料发现论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202364101030
2024107201148
20251512131353
2026331127677

代表论文

按年份和会议均匀挑选,方便快速看到每一届的样貌

全部材料发现论文

共 64 篇,第 1 / 2 页

  1. NeurIPS 2026Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules
  2. NeurIPS 2026AI for Drug Discovery Models Often Do Not Learn as Expected and How to Diagnose These Failure Modes
  3. NeurIPS 2026AIRA-Compose: Agentic Discovery of Neural Architectures
  4. NeurIPS 2026AMGenC: Generating Charge Balanced Amorphous Materials
  5. NeurIPS 2026Ballad: Bandit-Based LLM Routing for Automated Heuristic Discovery
  6. NeurIPS 2026Causal Discovery from Unseen Environments
  7. NeurIPS 2026Causal discovery needs explicit epistemic standards
  8. NeurIPS 2026CausalTab: Pretraining Across Causal Environments for Tabular Causal Discovery
  9. NeurIPS 2026Contrastive Discovery: Open-Ended Scientific Discovery over Competing Explanations
  10. NeurIPS 2026Cross-Model Circuit Discovery
  11. NeurIPS 2026Crosscoding Through Time: Sparse Feature Discovery Across Sequence Positions
  12. NeurIPS 2026CruxBench: A Benchmark of Information Discovery
  13. NeurIPS 2026Deep-Koopman-KANDy: Dictionary Discovery for Deep-Koopman Operators with Kolmogorov-Arnold Networks for Dynamics
  14. NeurIPS 2026DrugSAGE: Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
  15. NeurIPS 2026Fiedler-Regularized Causal Discovery for Sparse Connected DAGs
  16. NeurIPS 2026Finite Resources False Discovery Rate Control on Structured Hypothesis Spaces
  17. NeurIPS 2026From I/O to Code with Discovery Agent
  18. NeurIPS 2026Hodge Laplacian Quasi-Harmonic Flows for Option Discovery
  19. NeurIPS 2026HyperTree: Scalable Unsupervised Hierarchy Discovery in Hyperbolic Space
  20. NeurIPS 2026Improving constraint-based discovery with robust propagation and LLM priors
  21. NeurIPS 2026LEIA: Learned Environment for Interactive Architected Materials
  22. NeurIPS 2026Mapping Uncharted Symmetries: Machine Discovery in Combinatorics
  23. NeurIPS 2026MaterialsSaddles: 34 Million Transition States and a Flow-Matching Saddle-Point Predictor for Materials
  24. NeurIPS 2026MOOD: Benchmarking Post-Hoc OOD Detection for Materials Property Prediction
  25. NeurIPS 2026NORMA: Norm-Guided Explanation Subgraph Discovery
  26. NeurIPS 2026Offline Materials Optimization with CliqueFlowmer
  27. NeurIPS 2026PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
  28. NeurIPS 2026Preserving DEG Rankings for Gene Discovery in Histology-Based Spatial Gene Expression Prediction
  29. NeurIPS 2026SciResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
  30. NeurIPS 2026Seen-Constrained Model-Order Selection for Unknown-$K$ Generalized Category Discovery
  31. NeurIPS 2026Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
  32. NeurIPS 2026TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery
  33. NeurIPS 2026Weather-Robust Cross-View Geo-Localization via Prototype-Based Semantic Part Discovery
  34. NeurIPS 2025All that structure matches does not glitter
  35. NeurIPS 2025An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks
  36. NeurIPS 2025AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
  37. NeurIPS 2025CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models
  38. NeurIPS 2025Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
  39. NeurIPS 2025FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
  40. NeurIPS 2025Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
  41. NeurIPS 2025Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
  42. NeurIPS 2025GLNCD: Graph-Level Novel Category Discovery
  43. NeurIPS 2025Latent Principle Discovery for Language Model Self-Improvement
  44. NeurIPS 2025MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
  45. NeurIPS 2025Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
  46. NeurIPS 2025Periodic Skill Discovery
  47. NeurIPS 2025Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models
  48. NeurIPS 2025UMA: A Family of Universal Models for Atoms
  49. NeurIPS 2024Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
  50. NeurIPS 2024Generative Hierarchical Materials Search

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查材料发现在 ICML 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "materials-discovery"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

常见问题

2023–2026 年四大会议一共有多少篇材料发现论文?
共 208 篇,按年份分别是 2023 年 30 篇、2024 年 48 篇、2025 年 53 篇、2026 年 77 篇。
NeurIPS 2026 有多少篇材料发现论文?
NeurIPS 2026 有 33 篇材料发现论文,上一届是 15 篇。
ICLR 2026 有多少篇材料发现论文?
ICLR 2026 有 11 篇材料发现论文,上一届是 12 篇。
ICML 2026 有多少篇材料发现论文?
ICML 2026 有 27 篇材料发现论文,上一届是 13 篇。
CVPR 2026 有多少篇材料发现论文?
CVPR 2026 有 6 篇材料发现论文,上一届是 13 篇。
哪个会议的材料发现论文最多?
ICML,2023–2026 年共 70 篇。

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