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 12 of 25
- ICML 2026Contrastive Diffusion Alignment: Learning Structured Latents for Controllable Generation
- ICML 2026Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design
- ICML 2026Controllable Molecule Generation via Sparse Representation Editing: An Interpretability-Driven Perspective
- ICML 2026Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning
- ICML 2026Convex Basins in Single-Index Model Loss Landscapes: Applications to Robust Recovery under Strong Adversarial Corruption
- ICML 2026Coupled Cluster con MoLe: Molecular Orbital Learning for Neural Wavefunctions
- ICML 2026Credible Information Subset Decomposition: An End-to-End Multi-fidelity Learning Model by Modeling Label Information
- ICML 2026Credit Assignment via Neural Manifold Noise Correlation
- ICML 2026Cross-Chirality Generalization by Axial Vectors for Hetero-Chiral Protein-Peptide Interaction Design
- ICML 2026DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants
- ICML 2026DecAEvolve: Decompose, Adapt, and Evolve for Effective LLM-based Scientific Equation Discovery
- ICML 2026DecoderTCR: Compositional Pretraining and Entropy-Guided Decoding for TCR-pMHC Interactions
- ICML 2026Decoupling Universal Laws and Environmental Heterogeneity: A Physics-Inspired Framework for Robust Spatio-Temporal Forecasting
- ICML 2026DecoVer: A Decompose-and-Verify Neuro-Symbolic Framework for Embodied Task Planning with BC+
- ICML 2026Deep Coupling Learning for Solving PDEs
- ICML 2026Deep networks learn to parse uniform-depth context-free languages from local statistics
- ICML 2026Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction
- ICML 2026Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with LLMs
- ICML 2026Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling
- ICML 2026Demystifying When Pruning Works via Representation Hierarchies
- ICML 2026Derivative Informed Learning of Exchange-Correlation Functionals
- ICML 2026Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations
- ICML 2026Discontinuous Galerkin Neural Operator for Pathology Defocus Deblurring
- ICML 2026Discovering Ordinary Differential Equations with LLM-Based Qualitative and Quantitative Evaluation
- ICML 2026Discovering Scaling Exponents with Physics-Informed Müntz-Szász Networks
- ICML 2026Discrete Diffusion Samplers and Bridges: Off-Policy Algorithms and Applications in Latent Spaces
- ICML 2026Disentangling Consensus and Value-Specific Representations for Controllable Pluralistic Value Alignment of LLMs
- 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
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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