Applications · chemistry physics and earth sciences papers, 2023–2026

Key findings

• Applications · chemistry physics and earth sciences went from 293 papers in 2023 to 1,217 in 2026, roughly 4.2x in three years.
• NeurIPS publishes the most Applications · chemistry physics and earth sciences work: 1,107 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 3 in 2023 to 95 in 2026.
• Among the 10 topics under Application Domains, it ranks #2 by 2026 paper count; the fastest grower in the group, Applications · health medicine, is up 61x versus 4.2x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Applications · chemistry physics and earth sciences papers

1,107 papers, page 4 of 23

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

FAQ

How many Applications · chemistry physics and earth sciences papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,316 in total: 293 in 2023, 680 in 2024, 1,126 in 2025, 1,217 in 2026.

How many Applications · chemistry physics and earth sciences papers are at NeurIPS 2026?

NeurIPS 2026 has 299 Applications · chemistry physics and earth sciences papers, versus 455 the year before.

How many Applications · chemistry physics and earth sciences papers are at ICLR 2026?

ICLR 2026 has 373 Applications · chemistry physics and earth sciences papers, versus 297 the year before.

How many Applications · chemistry physics and earth sciences papers are at ICML 2026?

ICML 2026 has 441 Applications · chemistry physics and earth sciences papers, versus 287 the year before.

How many Applications · chemistry physics and earth sciences papers are at CVPR 2026?

CVPR 2026 has 104 Applications · chemistry physics and earth sciences papers, versus 87 the year before.

Which conference publishes the most Applications · chemistry physics and earth sciences papers?

NeurIPS, with 1,107 papers from 2023 to 2026.