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 48 篇,第 1 / 1 页
- CVPR 2024Active Generalized Category Discovery
- CVPR 2024Contrastive Mean-Shift Learning for Generalized Category Discovery
- CVPR 2024Eclipse: Disambiguating Illumination and Materials using Unintended Shadows
- CVPR 2024Federated Generalized Category Discovery
- CVPR 2024MatSynth: A Modern PBR Materials Dataset
- CVPR 2024Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
- CVPR 2024Practical Measurements of Translucent Materials with Inter-Pixel Translucency Prior
- CVPR 2024QUADify: Extracting Meshes with Pixel-level Details and Materials from Images
- CVPR 2024Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
- CVPR 2024Understanding Video Transformers via Universal Concept Discovery
- CVPR 2024Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models
- ICLR 2024A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
- ICLR 2024CoLiDE: Concomitant Linear DAG Estimation
- ICLR 2024Federated Causal Discovery from Heterogeneous Data
- ICLR 2024ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
- ICLR 2024One-hot Generalized Linear Model for Switching Brain State Discovery
- ICLR 2024Scalable Diffusion for Materials Generation
- ICLR 2024Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
- ICML 2024A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?
- ICML 2024Amortized Equation Discovery in Hybrid Dynamical Systems
- ICML 2024Automated Statistical Model Discovery with Language Models
- ICML 2024Bivariate Causal Discovery using Bayesian Model Selection
- ICML 2024ByMI: Byzantine Machine Identification with False Discovery Rate Control
- ICML 2024Causal Discovery via Conditional Independence Testing with Proxy Variables
- ICML 2024Causal Discovery with Fewer Conditional Independence Tests
- ICML 2024Drug Discovery with Dynamic Goal-aware Fragments
- ICML 2024Entropy-Reinforced Planning with Large Language Models for Drug Discovery
- ICML 2024Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
- ICML 2024FlowMM: Generating Materials with Riemannian Flow Matching
- ICML 2024Foundations of Testing for Finite-Sample Causal Discovery
- ICML 2024Intersectional Unfairness Discovery
- ICML 2024Latent Space Symmetry Discovery
- ICML 2024On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery
- ICML 2024Optimal Kernel Choice for Score Function-based Causal Discovery
- ICML 2024Position: Data-driven Discovery with Large Generative Models
- ICML 2024Score-Based Causal Discovery of Latent Variable Causal Models
- ICML 2024Stable Differentiable Causal Discovery
- ICML 2024Unsupervised Concept Discovery Mitigates Spurious Correlations
- NeurIPS 2024Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
- NeurIPS 2024Generative Hierarchical Materials Search
- NeurIPS 2024Happy: A Debiased Learning Framework for Continual Generalized Category Discovery
- NeurIPS 2024Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
- NeurIPS 2024Learning Infinitesimal Generators of Continuous Symmetries from Data
- NeurIPS 2024Learning symmetries via weight-sharing with doubly stochastic tensors
- NeurIPS 2024No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
- NeurIPS 2024Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery
- NeurIPS 2024Symmetry Discovery Beyond Affine Transformations
- NeurIPS 2024WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking
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。