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
- 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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 6 | 4 | 10 | 10 | 30 |
| 2024 | 10 | 7 | 20 | 11 | 48 |
| 2025 | 15 | 12 | 13 | 13 | 53 |
| 2026 | 33 | 11 | 27 | 6 | 77 |
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 1 / 2 页
- NeurIPS 2026Active Flow Expansion for Out-of-Distribution Discovery: from Theory to Molecules
- NeurIPS 2026AI for Drug Discovery Models Often Do Not Learn as Expected and How to Diagnose These Failure Modes
- NeurIPS 2026AIRA-Compose: Agentic Discovery of Neural Architectures
- NeurIPS 2026AMGenC: Generating Charge Balanced Amorphous Materials
- NeurIPS 2026Ballad: Bandit-Based LLM Routing for Automated Heuristic Discovery
- NeurIPS 2026Causal Discovery from Unseen Environments
- NeurIPS 2026Causal discovery needs explicit epistemic standards
- NeurIPS 2026CausalTab: Pretraining Across Causal Environments for Tabular Causal Discovery
- NeurIPS 2026Contrastive Discovery: Open-Ended Scientific Discovery over Competing Explanations
- NeurIPS 2026Cross-Model Circuit Discovery
- NeurIPS 2026Crosscoding Through Time: Sparse Feature Discovery Across Sequence Positions
- NeurIPS 2026CruxBench: A Benchmark of Information Discovery
- NeurIPS 2026Deep-Koopman-KANDy: Dictionary Discovery for Deep-Koopman Operators with Kolmogorov-Arnold Networks for Dynamics
- NeurIPS 2026DrugSAGE: Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
- NeurIPS 2026Fiedler-Regularized Causal Discovery for Sparse Connected DAGs
- NeurIPS 2026Finite Resources False Discovery Rate Control on Structured Hypothesis Spaces
- NeurIPS 2026From I/O to Code with Discovery Agent
- NeurIPS 2026Hodge Laplacian Quasi-Harmonic Flows for Option Discovery
- NeurIPS 2026HyperTree: Scalable Unsupervised Hierarchy Discovery in Hyperbolic Space
- NeurIPS 2026Improving constraint-based discovery with robust propagation and LLM priors
- NeurIPS 2026LEIA: Learned Environment for Interactive Architected Materials
- NeurIPS 2026Mapping Uncharted Symmetries: Machine Discovery in Combinatorics
- NeurIPS 2026MaterialsSaddles: 34 Million Transition States and a Flow-Matching Saddle-Point Predictor for Materials
- NeurIPS 2026MOOD: Benchmarking Post-Hoc OOD Detection for Materials Property Prediction
- NeurIPS 2026NORMA: Norm-Guided Explanation Subgraph Discovery
- NeurIPS 2026Offline Materials Optimization with CliqueFlowmer
- NeurIPS 2026PAIR-CI: Calibrated Conditional Independence Testing for Causal Discovery with Incomplete Data
- NeurIPS 2026Preserving DEG Rankings for Gene Discovery in Histology-Based Spatial Gene Expression Prediction
- NeurIPS 2026SciResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
- NeurIPS 2026Seen-Constrained Model-Order Selection for Unknown-$K$ Generalized Category Discovery
- NeurIPS 2026Self-Supervised Keyframe Discovery for Horizon-Invariant Behavior Cloning
- NeurIPS 2026TagBO: LLM-Driven Task-Aware Graph Bayesian Optimization for Scientific Discovery
- NeurIPS 2026Weather-Robust Cross-View Geo-Localization via Prototype-Based Semantic Part Discovery
- NeurIPS 2025All that structure matches does not glitter
- NeurIPS 2025An Efficient Local Search Approach for Polarized Community Discovery in Signed Networks
- NeurIPS 2025AutoSciDACT: Automated Scientific Discovery through Contrastive Embedding and Hypothesis Testing
- NeurIPS 2025CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models
- NeurIPS 2025Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery
- NeurIPS 2025FedLPA: Local Prior Alignment for Heterogeneous Federated Generalized Category Discovery
- NeurIPS 2025Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
- NeurIPS 2025Generalized Category Discovery under Domain Shift: A Frequency Domain Perspective
- NeurIPS 2025GLNCD: Graph-Level Novel Category Discovery
- NeurIPS 2025Latent Principle Discovery for Language Model Self-Improvement
- NeurIPS 2025MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search
- NeurIPS 2025Partition to Evolve: Niching-enhanced Evolution with LLMs for Automated Algorithm Discovery
- NeurIPS 2025Periodic Skill Discovery
- NeurIPS 2025Revolutionizing Training-Free NAS: Towards Efficient Automatic Proxy Discovery via Large Language Models
- NeurIPS 2025UMA: A Family of Universal Models for Atoms
- NeurIPS 2024Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
- 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"}
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。