Applications · chemistry physics and earth sciences papers, 2023–2026
Application area: chemistry_physics_and_earth_sciences
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 3,316 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 77 | 65 | 83 | 68 | 293 |
| 2024 | 276 | 160 | 164 | 80 | 680 |
| 2025 | 455 | 297 | 287 | 87 | 1,126 |
| 2026 | 299 | 373 | 441 | 104 | 1,217 |
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
1,217 papers, page 21 of 25
- NeurIPS 2026Generalizable Physics Simulation through Compositional Energy Minimization
- NeurIPS 2026Generalization Error Bounds for Picard-Type Operator Learning in Nonlinear Parabolic PDEs
- NeurIPS 2026Generating Physically Consistent Molecules with Energy-Based Models
- NeurIPS 2026Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers
- NeurIPS 2026Geometry-Aware Post-Hoc Uncertainty Quantification in Operator Learning
- NeurIPS 2026GeoPano: Towards Geometrically Accurate Panoramic 3D Reconstruction from a Single Panorama
- NeurIPS 2026GeoRouter: Dynamic Paradigm Routing for Worldwide Image Geolocalization
- NeurIPS 2026GeoTransolver: Learning Physics on Irregular Domains using Multi-scale Geometry Aware Physics Attention Transformer
- NeurIPS 2026GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning
- NeurIPS 2026GoT: A Game-Theoretic Approach to the Game of Twenty Questions
- NeurIPS 2026GReFEM: Multimodal LLMs as Zero-Shot Semantic Assistants for Physics-Guided 3D Mesh Refinement
- NeurIPS 2026Growing a Neural Network in Breadth, Depth, and Time
- NeurIPS 2026H-Flow: Self-supervised Human Scene Flow via Physics-inspired Joint Multi-modal Learning
- NeurIPS 2026High-dimensional Limit of SGD for Diagonal Linear Networks
- NeurIPS 2026HiPhy: Hierarchical Alignment for Physically-Plausible Multi-Principle Video Generation
- NeurIPS 2026How well behaved is finite dimensional Diffusion Maps embedding?
- NeurIPS 2026Human-Inspired, Task-Dimension-Guided Exploration for Efficient Learning and Transfer in High Dimensions
- NeurIPS 2026HumanStereo: A Benchmark for Metric Facial Depth Estimation and Its Evaluation
- NeurIPS 2026IADR: Interface-Augmented Neural Operator for Phase-Field Mean-Curvature Flow
- NeurIPS 2026Identifiable Feedback-Controlled Latent Flow for Unpaired Single-cell Spatio-Temporal Dynamics
- NeurIPS 2026Implicit Neural Representations for Variational Problems on Graphons
- NeurIPS 2026Improving Function Space Flow Matching with Kernel Optimal Transport
- NeurIPS 2026Independent Latents, Robust Neural Operators
- NeurIPS 2026INEUS: Iterative Neural Solver for High-Dimensional PIDEs
- NeurIPS 2026Inner Product Aware Quantization: Provably Fast, Accurate, and Adaptive Algorithms
- NeurIPS 2026Inpainting physics: self-supervised learning for context-driven fluid simulation
- NeurIPS 2026Invariant Features in Language Models: Geometric Characterization and Model Attribution
- NeurIPS 2026Inverse Modeling for Laser Pulse Shape Design in Inertial Confinement Fusion
- NeurIPS 2026K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
- NeurIPS 2026KerONet: A Single Softmax Readout Suffices for Physics-Informed Operator Learning
- NeurIPS 2026LAPLEX: The FFT of Learnable Laplace Kernels
- NeurIPS 2026Latent Generative Solvers for Generalizable Long-Term Physics Simulation
- NeurIPS 2026Learned Lagrangian Models of PDEs via Euler–Lagrange Residual Minimization
- NeurIPS 2026Learning Global Temporal Dynamics in Sparse Networks via Cycle Counts
- NeurIPS 2026Learning Survival Models with Right-Censored Reporting Delays
- NeurIPS 2026Learning the Committor Function using Weighted Ensemble Simulations
- NeurIPS 2026Learning What's Real: Disentangling Signals and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics
- NeurIPS 2026LeCellModel: Interpretable Density Estimation over the Gene Expression Manifold
- NeurIPS 2026Lie Generator Networks for Nonlinear Partial Differential Equations
- NeurIPS 2026Lifting Biomolecular Data Acquisition
- NeurIPS 2026Live Music Diffusion Models: Efficient Fine-Tuning and Post-Training of Interactive Diffusion Music Generators
- NeurIPS 2026Locality Sensitive Hashing for p-Exponential Kernels with Applications to Density Estimation
- NeurIPS 2026Long-Horizon Agency Belongs in the Harness, Not the Context Window Only
- NeurIPS 2026Long-Rollout Stability in AI Weather Models: A Quantitative Benchmark and Analysis
- NeurIPS 2026Looped Transformers with Layer Normalization Provably Learn the Power Method
- NeurIPS 2026M$^3$: Reframing Training Measures for Discretized Physical Simulations
- NeurIPS 2026Macrocanonical Generator Networks: data-efficient neural surrogates for amortized physics simulation
- NeurIPS 2026Manifold-weighted neural networks
- NeurIPS 2026Markovian Dynamics Enforcer: Feasibility Preserving Correction on Learned Dyanmics Manifolds
- NeurIPS 2026MaterialsSaddles: 34 Million Transition States and a Flow-Matching Saddle-Point Predictor for Materials
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Applications · chemistry physics and earth sciences papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "app-chemistry-physics-and-earth-sciences"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
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.
More in Application Domains
- Applications · computer vision 2,538
- Applications · neuroscience and cognitive science 2,033
- Applications · speech and audio 1,722
- Applications · human computer interaction 1,027
- Applications · robotics 393
- Applications · health medicine 350
- Applications · security 28
- Applications · economics 19
- Applications · education 4