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

主要结论

• 应用 · chemistry physics and earth sciences论文从 2023 年的 293 篇增长到 2026 年的 1,217 篇，三年间扩大到约 4.2 倍。
• NeurIPS 是发应用 · chemistry physics and earth sciences论文最多的会议，2023–2026 年共 1,107 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 95 篇。
• 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 2；同组增长最快的应用 · health medicine是 61 倍，应用 · chemistry physics and earth sciences是 4.2 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 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
• ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
• ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
• CVPR 2026AssemblyBench Physics-Aware Assembly of Complex Industrial Objects
• NeurIPS 2025A Partition Cover Approach to Tokenization
• ICML 2025A Machine Learning Approach to Duality in Statistical Physics
• ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
• CVPR 2025Accurate Differential Operators for Hybrid Neural Fields
• NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
• ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
• ICLR 2024A Foundation Model for Error Correction Codes
• CVPR 2024EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
• NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
• ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
• ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
• CVPR 20233D Human Pose Estimation via Intuitive Physics
• NeurIPS 2026ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
• ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
• ICLR 2026A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
• CVPR 2026Brewing Stronger Features Dual-Teacher Distillation for Multispectral Earth Observation

全部应用 · chemistry physics and earth sciences论文

共 299 篇，第 4 / 6 页

151. NeurIPS 2026NAGO: Noise-Aware Generative Operator via Flow Matching
152. NeurIPS 2026Nahual: A Sequence Model for Language and Atoms
153. NeurIPS 2026NEAT: Neighborhood-Guided, Efficient, Autoregressive Set Transformer for 3D Molecular Generation
154. NeurIPS 2026Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows
155. NeurIPS 2026Neural Circuit Architectural Priors for Rat Locomotion
156. NeurIPS 2026Neural Field Thermal Tomography: A Differentiable Physics Framework for Non-Destructive Evaluation
157. NeurIPS 2026Neural Galerkin Normalizing Flows for Bayesian Inference of Diffusions with Inaccessible Boundaries
158. NeurIPS 2026Neural Modal Decomposition: Architectural Priors from Observables
159. NeurIPS 2026Neural Operator-based Curriculum Learning for Physics-Informed Neural Networks
160. NeurIPS 2026Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations
161. NeurIPS 2026Neural Signals Generate Clinical Notes in the Wild
162. NeurIPS 2026NeuralBES: A Differentiable, Control-Aware Emulator for Scalable Building Energy Modeling
163. NeurIPS 2026Newton-PINet: A fast physics-informed neural network with Newton linearization for meta-learning nonlinear PDEs
164. NeurIPS 2026ObsConDA: Observability-Constrained Data Assimilation with Control-Space Inference
165. NeurIPS 2026OceanCBM: A Concept Bottleneck Model for Mechanistic Interpretability in Ocean Forecasting
166. NeurIPS 2026OmniDex: Scaling Dexterous Hand Grasping to Diverse Cluttered Scenes
167. NeurIPS 2026On the Complexity of Preference-Based Bandits
168. NeurIPS 2026One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
169. NeurIPS 2026Online Bayesian Calibration under Gradual and Abrupt System Changes
170. NeurIPS 2026OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators
171. NeurIPS 2026Optimal Ansatz-free Hamiltonian Learning In Situ
172. NeurIPS 2026Optimizing Analytic Constants via AI-Guided Lean Proof Refinement
173. NeurIPS 2026Patch Hierarchical Attention Transformers for Efficient Particle Jet Tagging
174. NeurIPS 2026PCFBench: How Far Can Large Vision-Language Models Go in Physics-aware Photonic Inverse Design?
175. NeurIPS 2026PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
176. NeurIPS 2026Per-Loss Adapters for Gradient Conflict in Physics-Informed Neural Networks
177. NeurIPS 2026Phaedra: Learning High-Fidelity Discrete Tokenization for the Physical Sciences
178. NeurIPS 2026PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation
179. NeurIPS 2026PhysAgentGym: Free Physical-Law Verifiers for Training Small Code-Reasoning Agents
180. NeurIPS 2026PhysDNet: Physics-Driven Gradient Amplification for Real-Time Image Dehazing
181. NeurIPS 2026PhysElite: How Far Are LLMs from Solving Olympiad-Level Physics Problems?
182. NeurIPS 2026PhysFormer: Learning to Simulate Mechanics in World Space
183. NeurIPS 2026Physics Unrolled Neural Operator for Wireless Field Modeling
184. NeurIPS 2026Physics-Conditioned Video Diffusion with Kinematic Priors for Fusion Capsule Polishing
185. NeurIPS 2026Physics-Informed Functional Tucker Method with RKHS Factors for Sparse Spatiotemporal Reconstruction
186. NeurIPS 2026Physics-Informed Optimal Control by Control-Only Supervision with Error Guarantees on Value and Policy
187. NeurIPS 2026PhySPRING: Structure-Preserving Reduction of Physics-Informed Digital Twins via Graph Neural Networks
188. NeurIPS 2026PhysTC: A Physics-Enhanced Dataset and Architecture for High-Precision Tropical Cyclone Forecasting
189. NeurIPS 2026PI-EDG: Physics-Informed Full-Space Electron Density Generation from Molecular Geometry
190. NeurIPS 2026PINNBench: A Benchmark and Evaluation Study of Training Policy Selection in Hybrid PINN-Operator Solvers
191. NeurIPS 2026PINNeval: A Comprehensive Evaluation Standard for Physics-Informed Neural Networks
192. NeurIPS 2026PIU-CR: Physics-Informed Deep Unfolding Network with SAR-Optical Image Fusion for Cloud Removal
193. NeurIPS 2026Plausible Biomolecular Structure Prediction via Physics-informed Reinforcement Learning
194. NeurIPS 2026PM1: A Multimodal Foundation Model for Genomes, Phenotypes, and Images at Biobank Scale
195. NeurIPS 2026Pointwise Lipschitz Continuous Graph Algorithms
196. NeurIPS 2026PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation
197. NeurIPS 2026Policy-DRIFT: Dynamic Reward-Informed Flow Trajectory Steering
198. NeurIPS 2026Position: Fair Representations Cannot Hold What They Promise
199. NeurIPS 2026Predictively-Oriented Kalman Filtering
200. NeurIPS 2026Principia: Relational Physics Tests for Video Models

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。