材料发现论文趋势 2023–2026

主要结论

• 材料发现论文从 2023 年的 30 篇增长到 2026 年的 77 篇，三年间扩大到约 2.6 倍。
• ICML 是发材料发现论文最多的会议，2023–2026 年共 70 篇，占四个会议总量的 34%。
• 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 8 篇。
• 在「气候与物理科学」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的天气预报是 6.1 倍，材料发现是 2.6 倍。

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

• NeurIPS 2026AMGenC: Generating Charge Balanced Amorphous Materials
• ICML 2026Adaptive Symmetry Discovery for Dynamical System Identification
• ICLR 2026Bures Generalized Category Discovery
• CVPR 2026TAR Token-Aware Refinement for Fine-grained Generalized Category Discovery
• NeurIPS 2025Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
• ICML 2025Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
• ICLR 2025DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery
• CVPR 2025Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement
• NeurIPS 2024WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
• ICML 2024Amortized Equation Discovery in Hybrid Dynamical Systems
• ICLR 2024Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
• CVPR 2024Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
• NeurIPS 2023An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
• ICML 2023Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery
• ICLR 2023Improving the imputation of missing data with Markov Blanket discovery
• CVPR 2023Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
• NeurIPS 2026Ballad: Bandit-Based LLM Routing for Automated Heuristic Discovery
• ICML 2026CURE: Consistency-under-Unified Semantic Regularization for Generalized Category Discovery
• ICLR 2026From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers
• CVPR 2026Decouple Your Discovery and Memory in Continual Generalized Category Discovery

全部材料发现论文

共 27 篇，第 1 / 1 页

1. ICML 2026Adaptive Symmetry Discovery for Dynamical System Identification
2. ICML 2026Automatic Pruning Discovery for Large Language Models
3. ICML 2026CauScale: Neural Causal Discovery at Scale
4. ICML 2026CB-SLICE: Concept-Based Interpretable Error Slice Discovery
5. ICML 2026COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space
6. ICML 2026Coordinated Disentanglement with Iterative Mode Discovery Under Hidden Correlations
7. ICML 2026CURE: Consistency-under-Unified Semantic Regularization for Generalized Category Discovery
8. ICML 2026DeltaEvolve: Accelerating Scientific Discovery through Momentum-Driven Evolution
9. ICML 2026Discovering Symmetry Groups with Flow Matching
10. ICML 2026Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
11. ICML 2026Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery
12. ICML 2026Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
13. ICML 2026Global Directional Priors with Local Statistical Validation for Scalable Causal Discovery
14. ICML 2026Global Plane Waves from Local Gaussians: Periodic Charge Densities in a Blink
15. ICML 2026Identifying Latent Concepts and Structures for Generalized Category Discovery
16. ICML 2026Interpretable Discovery of One-parameter Subgroups: A Modular Framework for Elliptical, Hyperbolic, and Parabolic Symmetries
17. ICML 2026MADE: Benchmark Environments for Closed-Loop Materials Discovery
18. ICML 2026Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
19. ICML 2026One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State
20. ICML 2026Open Materials Generation with Inference-Time Reinforcement Learning
21. ICML 2026PartCo: Part-Level Correspondence Priors Enhance Category Discovery
22. ICML 2026Principle-Evolvable Scientific Discovery via Uncertainty Minimization
23. ICML 2026Reliable Confidence Alignment for Generalized Category Discovery
24. ICML 2026Root Cause Analysis of Failures in Microservices via Bayesian Root Cause Discovery
25. ICML 2026Skewness-Robust Causal Discovery in Location-Scale Noise Models
26. ICML 2026Subgroup Discovery with the Cox Model
27. ICML 2026Towards Completeness in Causal Discovery from Soft Interventions with Known Targets

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。