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
895 papers, page 13 of 18
- ICLR 2025QP-SNN: Quantized and Pruned Spiking Neural Networks
- ICLR 2025QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation
- ICLR 2025Quantitative Approximation for Neural Operators in Nonlinear Parabolic Equations
- ICLR 2025Quantum (Inspired) $D^2$-sampling with Applications
- ICLR 2025Range, not Independence, Drives Modularity in Biologically Inspired Representations
- ICLR 2025Rationalizing and Augmenting Dynamic Graph Neural Networks
- ICLR 2025Real-time design of architectural structures with differentiable mechanics and neural networks
- ICLR 2025Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval
- ICLR 2025REBIND: Enhancing Ground-state Molecular Conformation Prediction via Force-Based Graph Rewiring
- ICLR 2025Regulatory DNA Sequence Design with Reinforcement Learning
- ICLR 2025Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
- ICLR 2025RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
- ICLR 2025ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
- ICLR 2025RESuM: A Rare Event Surrogate Model for Physics Detector Design
- ICLR 2025Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach
- ICLR 2025Rethinking the role of frames for SE(3)-invariant crystal structure modeling
- ICLR 2025Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization
- ICLR 2025RetroInText: A Multimodal Large Language Model Enhanced Framework for Retrosynthetic Planning via In-Context Representation Learning
- ICLR 2025Revealing the 3D Cosmic Web through Gravitationally Constrained Neural Fields
- ICLR 2025Revolutionizing EMCCD Denoising through a Novel Physics-Based Learning Framework for Noise Modeling
- ICLR 2025Robust Weight Initialization for Tanh Neural Networks with Fixed Point Analysis
- ICLR 2025SAGEPhos: Sage Bio-Coupled and Augmented Fusion for Phosphorylation Site Detection
- ICLR 2025Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
- ICLR 2025Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
- ICLR 2025SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
- ICLR 2025Score-based free-form architectures for high-dimensional Fokker-Planck equations
- ICLR 2025Self-Attention-Based Contextual Modulation Improves Neural System Identification
- ICLR 2025Self-Supervised Diffusion Models for Electron-Aware Molecular Representation Learning
- ICLR 2025Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
- ICLR 2025Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
- ICLR 2025ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design
- ICLR 2025SIMPL: Scalable and hassle-free optimisation of neural representations from behaviour
- ICLR 2025SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs
- ICLR 2025Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries
- ICLR 2025Small-to-Large Generalization: Training Data Influences Models Consistently Across Scale
- ICLR 2025SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
- ICLR 2025SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches
- ICLR 2025Solving Differential Equations with Constrained Learning
- ICLR 2025Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows
- ICLR 2025STAMP: Scalable Task- And Model-agnostic Collaborative Perception
- ICLR 2025Statistical Advantages of Perturbing Cosine Router in Mixture of Experts
- ICLR 2025Steering Protein Family Design through Profile Bayesian Flow
- ICLR 2025Stiefel Flow Matching for Moment-Constrained Structure Elucidation
- ICLR 2025Structure Language Models for Protein Conformation Generation
- ICLR 2025SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models
- ICLR 2025SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups
- ICLR 2025Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling
- ICLR 2025SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints
- ICLR 2025SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems
- ICLR 2025TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
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