应用 · chemistry physics and earth sciences论文趋势 2023–2026

应用方向：chemistry_physics_and_earth_sciences

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,316 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

应用 · chemistry physics and earth sciences论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202377658368293
202427616016480680
2025455297287871,126
20262993734411041,217

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

全部应用 · chemistry physics and earth sciences论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 895 篇，第 15 / 18 页

  1. ICLR 2024Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding
  2. ICLR 2024Curriculum reinforcement learning for quantum architecture search under hardware errors
  3. ICLR 2024DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
  4. ICLR 2024De novo Protein Design Using Geometric Vector Field Networks
  5. ICLR 2024DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
  6. ICLR 2024Deep Confident Steps to New Pockets: Strategies for Docking Generalization
  7. ICLR 2024Deep Reinforcement Learning for Modelling Protein Complexes
  8. ICLR 2024DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
  9. ICLR 2024Defining Expertise: Applications to Treatment Effect Estimation
  10. ICLR 2024DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation
  11. ICLR 2024Divide and not forget: Ensemble of selectively trained experts in Continual Learning
  12. ICLR 2024DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes
  13. ICLR 2024Domain-Agnostic Molecular Generation with Chemical Feedback
  14. ICLR 2024Dynamics-Informed Protein Design with Structure Conditioning
  15. ICLR 2024EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
  16. ICLR 2024Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
  17. ICLR 2024Emergent Communication with Conversational Repair
  18. ICLR 2024Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
  19. ICLR 2024EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING
  20. ICLR 2024Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
  21. ICLR 2024Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
  22. ICLR 2024Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
  23. ICLR 2024Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
  24. ICLR 2024EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
  25. ICLR 2024Equivariant Matrix Function Neural Networks
  26. ICLR 2024Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
  27. ICLR 2024Estimating Shape Distances on Neural Representations with Limited Samples
  28. ICLR 2024Evaluating Representation Learning on the Protein Structure Universe
  29. ICLR 2024Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
  30. ICLR 2024Fast and unified path gradient estimators for normalizing flows
  31. ICLR 2024Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
  32. ICLR 2024FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
  33. ICLR 2024Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
  34. ICLR 2024Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D
  35. ICLR 2024From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
  36. ICLR 2024From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
  37. ICLR 2024Generalization of Scaled Deep ResNets in the Mean-Field Regime
  38. ICLR 2024Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
  39. ICLR 2024Gradual Optimization Learning for Conformational Energy Minimization
  40. ICLR 2024Graph Transformers on EHRs: Better Representation Improves Downstream Performance
  41. ICLR 2024GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs
  42. ICLR 2024GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation
  43. ICLR 2024Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
  44. ICLR 2024How connectivity structure shapes rich and lazy learning in neural circuits
  45. ICLR 2024I-PHYRE: Interactive Physical Reasoning
  46. ICLR 2024ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
  47. ICLR 2024Improving protein optimization with smoothed fitness landscapes
  48. ICLR 2024Interpretable Meta-Learning of Physical Systems
  49. ICLR 2024Invariance-based Learning of Latent Dynamics
  50. ICLR 2024KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement

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 查应用 · chemistry physics and earth sciences在 NeurIPS 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": "app-chemistry-physics-and-earth-sciences"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇应用 · chemistry physics and earth sciences论文？
共 3,316 篇，按年份分别是 2023 年 293 篇、2024 年 680 篇、2025 年 1,126 篇、2026 年 1,217 篇。
NeurIPS 2026 有多少篇应用 · chemistry physics and earth sciences论文？
NeurIPS 2026 有 299 篇应用 · chemistry physics and earth sciences论文，上一届是 455 篇。
ICLR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
ICLR 2026 有 373 篇应用 · chemistry physics and earth sciences论文，上一届是 297 篇。
ICML 2026 有多少篇应用 · chemistry physics and earth sciences论文？
ICML 2026 有 441 篇应用 · chemistry physics and earth sciences论文，上一届是 287 篇。
CVPR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
CVPR 2026 有 104 篇应用 · chemistry physics and earth sciences论文，上一届是 87 篇。
哪个会议的应用 · chemistry physics and earth sciences论文最多？
NeurIPS，2023–2026 年共 1,107 篇。

「应用领域」下的其他主题