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 64 篇，第 2 / 2 页

51. NeurIPS 2024Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
52. NeurIPS 2024Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
53. NeurIPS 2024Learning Infinitesimal Generators of Continuous Symmetries from Data
54. NeurIPS 2024Learning symmetries via weight-sharing with doubly stochastic tensors
55. NeurIPS 2024No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
56. NeurIPS 2024Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
57. NeurIPS 2024Symmetry Discovery Beyond Affine Transformations
58. NeurIPS 2024WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
59. NeurIPS 2023An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions
60. NeurIPS 2023BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
61. NeurIPS 2023Error Discovery By Clustering Influence Embeddings
62. NeurIPS 2023Homotopy-based training of NeuralODEs for accurate dynamics discovery
63. NeurIPS 2023M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery
64. NeurIPS 2023Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials

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。