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

1,107 papers, page 19 of 23

901. NeurIPS 2024Nature-Inspired Local Propagation
902. NeurIPS 2024Navigating Chemical Space with Latent Flows
903. NeurIPS 2024Nearly Optimal Approximation of Matrix Functions by the Lanczos Method
904. NeurIPS 2024Neural Krylov Iteration for Accelerating Linear System Solving
905. NeurIPS 2024Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations
906. NeurIPS 2024Neural Persistence Dynamics
907. NeurIPS 2024Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations
908. NeurIPS 2024NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
909. NeurIPS 2024NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation
910. NeurIPS 2024NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
911. NeurIPS 2024Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations
912. NeurIPS 2024Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
913. NeurIPS 2024NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
914. NeurIPS 2024Off-Policy Selection for Initiating Human-Centric Experimental Design
915. NeurIPS 2024Omnigrasp: Grasping Diverse Objects with Simulated Humanoids
916. NeurIPS 2024On conditional diffusion models for PDE simulations
917. NeurIPS 2024On Socially Fair Low-Rank Approximation and Column Subset Selection
918. NeurIPS 2024On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks
919. NeurIPS 2024One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently
920. NeurIPS 2024OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset
921. NeurIPS 2024Optimal and Approximate Adaptive Stochastic Quantization
922. NeurIPS 2024Optimal deep learning of holomorphic operators between Banach spaces
923. NeurIPS 2024Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
924. NeurIPS 2024Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos
925. NeurIPS 2024Optimizing Automatic Differentiation with Deep Reinforcement Learning
926. NeurIPS 2024P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics
927. NeurIPS 2024PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices
928. NeurIPS 2024PageRank Bandits for Link Prediction
929. NeurIPS 2024Parametric model reduction of mean-field and stochastic systems via higher-order action matching
930. NeurIPS 2024Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
931. NeurIPS 2024PhyRecon: Physically Plausible Neural Scene Reconstruction
932. NeurIPS 2024Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning
933. NeurIPS 2024Physics-Constrained Comprehensive Optical Neural Networks
934. NeurIPS 2024Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
935. NeurIPS 2024Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
936. NeurIPS 2024Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization
937. NeurIPS 2024PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
938. NeurIPS 2024Polyhedral Complex Derivation from Piecewise Trilinear Networks
939. NeurIPS 2024Poseidon: Efficient Foundation Models for PDEs
940. NeurIPS 2024Precipitation Downscaling with Spatiotemporal Video Diffusion
941. NeurIPS 2024Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
942. NeurIPS 2024Predicting Label Distribution from Ternary Labels
943. NeurIPS 2024Preferential Normalizing Flows
944. NeurIPS 2024Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
945. NeurIPS 2024Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors
946. NeurIPS 2024Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
947. NeurIPS 2024Probablistic Emulation of a Global Climate Model with Spherical DYffusion
948. NeurIPS 2024Progressive Entropic Optimal Transport Solvers
949. NeurIPS 2024ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention
950. NeurIPS 2024ProtGO: Function-Guided Protein Modeling for Unified Representation Learning

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.