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

895 papers, page 17 of 18

801. ICLR 2024Scalable Language Model with Generalized Continual Learning
802. ICLR 2024Scalable Monotonic Neural Networks
803. ICLR 2024Scaling physics-informed hard constraints with mixture-of-experts
804. ICLR 2024Searching for High-Value Molecules Using Reinforcement Learning and Transformers
805. ICLR 2024Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
806. ICLR 2024Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View
807. ICLR 2024SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
808. ICLR 2024Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
809. ICLR 2024SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
810. ICLR 2024Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
811. ICLR 2024Space and time continuous physics simulation from partial observations
812. ICLR 2024Space Group Constrained Crystal Generation
813. ICLR 2024Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
814. ICLR 2024Stabilizing Backpropagation Through Time to Learn Complex Physics
815. ICLR 2024Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
816. ICLR 2024Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling
817. ICLR 2024Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
818. ICLR 2024Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
819. ICLR 2024Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
820. ICLR 2024Synaptic Weight Distributions Depend on the Geometry of Plasticity
821. ICLR 2024TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
822. ICLR 2024Thin-Shell Object Manipulations With Differentiable Physics Simulations
823. ICLR 2024Threaten Spiking Neural Networks through Combining Rate and Temporal Information
824. ICLR 2024Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
825. ICLR 2024Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark
826. ICLR 2024Training-free Multi-objective Diffusion Model for 3D Molecule Generation
827. ICLR 2024Traveling Waves Encode The Recent Past and Enhance Sequence Learning
828. ICLR 2024Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks
829. ICLR 2024Universal Humanoid Motion Representations for Physics-Based Control
830. ICLR 2024Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
831. ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
832. ICLR 2023A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
833. ICLR 2023A Primal-Dual Framework for Transformers and Neural Networks
834. ICLR 2023A Self-Attention Ansatz for Ab-initio Quantum Chemistry
835. ICLR 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
836. ICLR 2023Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
837. ICLR 2023Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
838. ICLR 2023Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint
839. ICLR 2023Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes
840. ICLR 2023Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
841. ICLR 2023Characteristic Neural Ordinary Differential Equation
842. ICLR 2023Clifford Neural Layers for PDE Modeling
843. ICLR 2023Competitive Physics Informed Networks
844. ICLR 2023Confidence Estimation Using Unlabeled Data
845. ICLR 2023Contextual bandits with concave rewards, and an application to fair ranking
846. ICLR 2023Continuous PDE Dynamics Forecasting with Implicit Neural Representations
847. ICLR 2023Coupled Multiwavelet Operator Learning for Coupled Differential Equations
848. ICLR 2023CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
849. ICLR 2023DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics
850. ICLR 2023DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics

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.