Applications · chemistry physics and earth sciences papers, 2023–2026

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.

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

3,316 papers, page 57 of 67

2801. NeurIPS 2024Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
2802. NeurIPS 2024Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search
2803. NeurIPS 2024Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
2804. NeurIPS 2024DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
2805. NeurIPS 2024Dual Cone Gradient Descent for Training Physics-Informed Neural Networks
2806. NeurIPS 2024Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
2807. NeurIPS 2024Dual-Personalizing Adapter for Federated Foundation Models
2808. NeurIPS 2024EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals
2809. NeurIPS 2024Efficient Sketches for Training Data Attribution and Studying the Loss Landscape
2810. NeurIPS 2024EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
2811. NeurIPS 2024Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism
2812. NeurIPS 2024Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
2813. NeurIPS 2024Entropy testing and its application to testing Bayesian networks
2814. NeurIPS 2024Estimating Epistemic and Aleatoric Uncertainty with a Single Model
2815. NeurIPS 2024ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
2816. NeurIPS 2024Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks
2817. NeurIPS 2024FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings
2818. NeurIPS 2024Fast and Memory-Efficient Video Diffusion Using Streamlined Inference
2819. NeurIPS 2024FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation
2820. NeurIPS 2024FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
2821. NeurIPS 2024Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting
2822. NeurIPS 2024Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
2823. NeurIPS 2024From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach
2824. NeurIPS 2024From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
2825. NeurIPS 2024FUSE: Fast Unified Simulation and Estimation for PDEs
2826. NeurIPS 2024G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
2827. NeurIPS 2024Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
2828. NeurIPS 2024Generalization of Hamiltonian algorithms
2829. NeurIPS 2024Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
2830. NeurIPS 2024Generative Hierarchical Materials Search
2831. NeurIPS 2024Generative Modeling of Molecular Dynamics Trajectories
2832. NeurIPS 2024Geometric Analysis of Nonlinear Manifold Clustering
2833. NeurIPS 2024GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
2834. NeurIPS 2024GFlowNet Assisted Biological Sequence Editing
2835. NeurIPS 2024Global Convergence in Training Large-Scale Transformers
2836. NeurIPS 2024Gradient-free Decoder Inversion in Latent Diffusion Models
2837. NeurIPS 2024Gradients of Functions of Large Matrices
2838. NeurIPS 2024Graph Diffusion Transformers for Multi-Conditional Molecular Generation
2839. NeurIPS 2024Great Minds Think Alike: The Universal Convergence Trend of Input Salience
2840. NeurIPS 2024HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems
2841. NeurIPS 2024Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
2842. NeurIPS 2024HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection
2843. NeurIPS 2024How Diffusion Models Learn to Factorize and Compose
2844. NeurIPS 2024How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers
2845. NeurIPS 2024How does PDE order affect the convergence of PINNs?
2846. NeurIPS 2024How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
2847. NeurIPS 2024Identifying Spatio-Temporal Drivers of Extreme Events
2848. NeurIPS 2024Idiographic Personality Gaussian Process for Psychological Assessment
2849. NeurIPS 2024Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
2850. NeurIPS 2024Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient

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.