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 34 篇,第 1 / 1 页

  1. ICLR 2026Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials
  2. ICLR 2026Bures Generalized Category Discovery
  3. ICLR 2026Causal Discovery in the Wild: A Voting-Theoretic Ensemble Approach
  4. ICLR 2026Causal Discovery via Quantile Partial Effect
  5. ICLR 2026Disentangled representation learning through unsupervised symmetry group discovery
  6. ICLR 2026From atom to space: A region-based readout function for spatial properties of materials
  7. ICLR 2026From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers
  8. ICLR 2026HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals
  9. ICLR 2026LLEMA: Accelerating Materials Design via LLM-Guided Evolutionary Search
  10. ICLR 2026RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
  11. ICLR 2026SpectralGCD: Spectral Concept Selection and Cross-modal Representation Learning for Generalized Category Discovery
  12. ICLR 2025A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
  13. ICLR 2025Conditional Testing based on Localized Conformal $p$-values
  14. ICLR 2025DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
  15. ICLR 2025Designing Mechanical Meta-Materials by Learning Equivariant Flows
  16. ICLR 2025ECD: A Machine Learning Benchmark for Predicting Enhanced-Precision Electronic Charge Density in Crystalline Inorganic Materials
  17. ICLR 2025Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
  18. ICLR 2025HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
  19. ICLR 2025MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
  20. ICLR 2025SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark
  21. ICLR 2025SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
  22. ICLR 2025The Ramanujan Library - Automated Discovery on the Hypergraph of Integer Relations
  23. ICLR 2025When Selection Meets Intervention: Additional Complexities in Causal Discovery
  24. ICLR 2024A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
  25. ICLR 2024CoLiDE: Concomitant Linear DAG Estimation
  26. ICLR 2024Federated Causal Discovery from Heterogeneous Data
  27. ICLR 2024ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
  28. ICLR 2024One-hot Generalized Linear Model for Switching Brain State Discovery
  29. ICLR 2024Scalable Diffusion for Materials Generation
  30. ICLR 2024Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
  31. ICLR 2023Context-enriched molecule representations improve few-shot drug discovery
  32. ICLR 2023DAG Learning on the Permutahedron
  33. ICLR 2023Improving the imputation of missing data with Markov Blanket discovery
  34. ICLR 2023Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery

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"}

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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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