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
1,107 papers, page 18 of 23
- NeurIPS 2024How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
- NeurIPS 2024How does PDE order affect the convergence of PINNs?
- NeurIPS 2024How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
- NeurIPS 2024Identifying Spatio-Temporal Drivers of Extreme Events
- NeurIPS 2024Idiographic Personality Gaussian Process for Psychological Assessment
- NeurIPS 2024Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
- NeurIPS 2024Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
- NeurIPS 2024Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
- NeurIPS 2024Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion
- NeurIPS 2024Interaction-Force Transport Gradient Flows
- NeurIPS 2024Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation
- NeurIPS 2024IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing
- NeurIPS 2024KFNN: K-Free Nearest Neighbor For Crowdsourcing
- NeurIPS 2024kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
- NeurIPS 2024Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks
- NeurIPS 2024Large Language Models Must Be Taught to Know What They Don’t Know
- NeurIPS 2024Latent Neural Operator for Solving Forward and Inverse PDE Problems
- NeurIPS 2024Learning 3D Garment Animation from Trajectories of A Piece of Cloth
- NeurIPS 2024Learning Better Representations From Less Data For Propositional Satisfiability
- NeurIPS 2024Learning Bregman Divergences with Application to Robustness
- NeurIPS 2024Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
- NeurIPS 2024Learning from Uncertain Data: From Possible Worlds to Possible Models
- NeurIPS 2024Learning Infinitesimal Generators of Continuous Symmetries from Data
- NeurIPS 2024Learning Macroscopic Dynamics from Partial Microscopic Observations
- NeurIPS 2024Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation
- NeurIPS 2024Learning rigid-body simulators over implicit shapes for large-scale scenes and vision
- NeurIPS 2024Learning Structure-Aware Representations of Dependent Types
- NeurIPS 2024Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
- NeurIPS 2024Learning to compute Gröbner bases
- NeurIPS 2024Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
- NeurIPS 2024Learning to Predict Structural Vibrations
- NeurIPS 2024Learning-Augmented Priority Queues
- NeurIPS 2024LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
- NeurIPS 2024Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics
- NeurIPS 2024M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data
- NeurIPS 2024Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
- NeurIPS 2024MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey
- NeurIPS 2024MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
- NeurIPS 2024MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
- NeurIPS 2024Microstructures and Accuracy of Graph Recall by Large Language Models
- NeurIPS 2024Mirror and Preconditioned Gradient Descent in Wasserstein Space
- NeurIPS 2024Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models
- NeurIPS 2024Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA
- NeurIPS 2024Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks
- NeurIPS 2024Monoculture in Matching Markets
- NeurIPS 2024Monomial Matrix Group Equivariant Neural Functional Networks
- NeurIPS 2024MotionCraft: Physics-Based Zero-Shot Video Generation
- NeurIPS 2024Multiple Physics Pretraining for Spatiotemporal Surrogate Models
- NeurIPS 2024Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
- NeurIPS 2024Mutual Information Estimation via $f$-Divergence and Data Derangements
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