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
975 papers, page 3 of 20
- ICML 2026Dissecting Post-Training: Uncovering the Complementary Roles of SFT and RL for Document Parsing
- ICML 2026DISSOLVR: An Interpretable and Fast Framework for Aqueous and Organic Solubility Prediction
- ICML 2026DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
- ICML 2026DNACHUNKER: Learnable Tokenization for DNA Language Models
- ICML 2026dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning
- ICML 2026Do Neural Operators Forget Geometry? The Forgetting Hypothesis in Deep Operator Learning
- ICML 2026DOCKSMITH: Scaling Reliable Coding Environments via an Agentic Docker Builder
- ICML 2026Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
- ICML 2026Drop-in Circulant Structural Priors for Transformer Decoding of Cyclic Codes
- ICML 2026DualTimesField: Rethinking Time Series as Continuous-Time Trends and Events
- ICML 2026DuRP: Dual-Stage Physics-Embedded Learning for Joint Radiance and Polarization Restoration
- ICML 2026Dynamic Regret via Discounted-to-Dynamic Reduction with Applications to Curved Losses and Adam Optimizer
- ICML 2026Dynamic Relational Priming Improves Transformer in Multivariate Time Series
- ICML 2026Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks
- ICML 2026ECG-R1: Protocol-Guided and Modality-Agnostic MLLM for Reliable ECG Interpretation
- ICML 2026Effects of Structural Reward Shaping on Biophysical Properties in RL-Trained Plasmid Generators
- ICML 2026EffGen: Enabling Small Language Models as Capable Autonomous Agents
- ICML 2026Efficient Adaptive Testing via Gradient Path Matching Subset Selection for AI Education
- ICML 2026Efficient and Safe Molecular Assembly via Reinforcement Learning and Constraint Solving
- ICML 2026Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling
- ICML 2026Efficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local Frames
- ICML 2026Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization
- ICML 2026Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learned Force Fields
- ICML 2026EMFormer: Efficient Multi-Scale Transformer for Accumulative Context Weather Forecasting
- ICML 2026Enhancing Neural Theorem Proving via High-Quality Proof Selection and Verifier Feedback
- ICML 2026EnterpriseOps-Gym: Environments and Evaluations for Stateful Agentic Planning and Tool Use in Enterprise Settings
- ICML 2026EqGINO: Equivariant Geometry-Informed Fourier Neural Operators for 3D PDEs
- ICML 2026Error-Driven Graph Augmentation for Mesh-Based PDE Surrogates
- ICML 2026EvoC2F: Compiling Tool Orchestration for Efficient and Evolvable LLM Agents
- ICML 2026Excited Pfaffians: Generalized Neural Wave Functions Across Structure and State
- ICML 2026Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
- ICML 2026Explicit representation of germline and non-germline residues improves antibody language modeling
- ICML 2026Factorized Scheduling Principle: Learning Interpretable and Transferable Policies via Structured Additive Functions
- ICML 2026Fast kernel methods: Sobolev, physics-informed, and additive models
- ICML 2026Fast Reconstruction of Mixtures of Bernoulli Product Distributions
- ICML 2026FIDIA: Function-Informed Sequence Design via Inference-Aligned Policy Optimization
- ICML 2026FIRE: Learning to Navigate and Act on Real-World Files via Stateful Reinforcement Learning
- ICML 2026Flexible Kernels for Protein Property Prediction
- ICML 2026FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
- ICML 2026FLIP2: Expanding Protein Fitness Landscape Benchmarks for Real-World Machine Learning Applications
- ICML 2026Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics
- ICML 2026Flowers: A Warp Drive for Neural PDE Solvers
- ICML 2026FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates
- ICML 2026Focus, Align, and Sustain: Counteracting Gradient Dilution in Incremental Object Detection
- ICML 2026Fourier Features Let Agents Learn High Precision Policies with Imitation Learning
- ICML 2026Fractional is Better: Learnable Derivative Orders in Neural Operator Learning
- ICML 2026Frequency Matching in Spiking Neural Networks for mmWave Sensing
- ICML 2026FRIGID: Scaling Diffusion-Based Molecular Generation from Mass Spectra at Training and Inference Time
- ICML 2026From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators
- ICML 2026From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide ML Interatomic Potential Architectures
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