Key papers

• An AI system to help scientists write expert-level empirical software (2025)
  Eser Ayg\"un et al.
  12.53
• Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems (2023)
  Xuan Zhang et al.
  9.29
• A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder (2020)
  Youngkyu Kim et al.
  8.66
• The Open DAC 2025 Dataset for Sorbent Discovery in Direct Air Capture (2025)
  Anuroop Sriram et al.
  7.86
• SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators (2025)
  James P. C. Duncan et al.
  7.77
• An uncertainty-aware Digital Shadow for underground multimodal CO2 storage monitoring (2024)
  Abhinav Prakash Gahlot and Rafael Orozco and Ziyi Yin and Felix J. Herrmann
  6.97
• NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation (2025)
  Yuan Gao et al.
  6.47
• Community Research Earth Digital Intelligence Twin (CREDIT) (2024)
  John Schreck et al.
  6.25
• Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms (2025)
  Philippe Martin Wyder et al.
  6.23
• Bridging ocean wave physics and deep learning: Physics-informed neural operators for nonlinear wavefield reconstruction in real-time (2025)
  Svenja Ehlers et al.
  6.12
• Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science (2025)
  Runlong Yu et al.
  5.79
• Scientific machine learning in Hydrology: a unified perspective (2025)
  Adoubi Vincent De Paul Adombi
  5.35
• Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forecasting (2020)
  Julian Rice et al.
  5.30
• An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence (2025)
  Karan Jakhar et al.
  5.10
• Causal Climate Emulation with Bayesian Filtering (2025)
  Sebastian Hickman et al.
  4.93
• Hallucination, reliability, and the role of generative AI in science (2025)
  Charles Rathkopf
  4.82
• A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset (2025)
  Junhuan Yang et al.
  4.65
• Physics-informed neural networks for phase-resolved data assimilation and prediction of nonlinear ocean waves (2025)
  Svenja Ehlers et al.
  4.65
• Benchmarking atmospheric circulation variability in an AI emulator, ACE2, and a hybrid model, NeuralGCM (2025)
  Ian Baxter et al.
  4.64
• MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting (2023)
  Matteo Tortora et al.
  4.52
• SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning (2023)
  Pu Ren et al.
  4.48
• An AI-Driven Thermal-Fluid Testbed for Advanced Small Modular Reactors: Integration of Digital Twin and Large Language Models (2025)
  Doyeong Lim et al.
  4.47
• Unsupervised Machine Learning for Scientific Discovery: Workflow and Best Practices (2025)
  Andersen Chang et al.
  4.42
• Surrogate Modeling of 3D Rayleigh-Benard Convection with Equivariant Autoencoders (2025)
  Fynn Fromme et al.
  4.36
• PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders (2025)
  Michail Spitieris et al.
  4.36
• Exogenous Dropout: A Simple, Strong Baseline for Corruption-Robust Time Series Forecasting with Covariates (2026)
  Hao Hu et al.
  4.33
• Reaction Pathway Detection using Machine-Learned Energy Potentials -- Decomposition of Energized CF$_3$CHOO (2026)
  Cangtao Yin et al.
  4.33
• WattCouncil: Context-Aware Household Energy Scenario Generation With Governed LLMs (2026)
  Mohannad Takrouri et al.
  4.33
• Verifier-Based Reinforcement Fine-Tuning of Reasoning Models for Thermal Energy Storage Control (2026)
  Takumi Shioda et al.
  4.33
• Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis (2026)
  Dandan Chen et al.
  4.33
• From Deterministic to Generative Deep Learning for Urban Air Quality Reconstruction from Sparse Observations (2026)
  Abhishek A. Sabnis et al.
  4.33
• COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting (2026)
  Zesheng Liu et al.
  4.27
• Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations (2026)
  Rodrigo S. Luna et al.
  4.27
• Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific (2026)
  Egor Bugaev et al.
  4.27
• How Sparse and How Noisy? Systematic Benchmarking of Inverse Physics-Informed Neural Networks for Manning Friction Estimation in Shallow Water Equations (2026)
  Soheil Radfar
  4.27
• From Simulation to Discovery: AI Enabled Probabilistic Emulation of Mechanistic Crop Systems (2026)
  Mojdeh Saadati et al.
  4.22
• The physics of AI weather models (2026)
  George Craig et al.
  4.22
• From Short Histories to Long Futures: Horizon-Aware Graph Neural Networks for Long Horizon Forecasting (2026)
  Zesheng Liu et al.
  4.22
• Neural Operator-Based Surrogate Model for CFD:Helical Coil Steam Generator in Small Modular Reactor (2026)
  Minseo Lee et al.
  4.22
• Simultaneous emulation and downscaling with physically-consistent deep learning-based regional ocean emulators (2025)
  Leonard Lupin-Jimenez et al.
  4.14
• Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators (2024)
  Ankur Mahesh et al.
  3.97
• Physically consistent and uncertainty-aware learning of spatiotemporal dynamics (2025)
  Qingsong Xu et al.
  3.97
• Learning from History: A Retrieval-Augmented Framework for Spatiotemporal Prediction (2025)
  Hao Jia et al.
  3.97
• Computation of the heat capacity of water from first principles (2025)
  Motoyuki Shiga and Jan Elsner and J\"org Behler and Bo Thomsen
  3.92
• Differential-Integral Neural Operator for Long-Term Turbulence Forecasting (2025)
  Hao Wu et al.
  3.92
• AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need (2025)
  Ahmed Jaber et al.
  3.92
• Integrating Newton's Laws with deep learning for enhanced physics-informed compound flood modelling (2025)
  Soheil Radfar et al.
  3.81
• Integrating Physics-Based and Data-Driven Approaches for Probabilistic Building Energy Modeling (2025)
  Leandro Von Krannichfeldt et al.
  3.81
• Data-Driven Extended Corresponding State Approach for Residual Property Prediction of Hydrofluoroolefins (2025)
  Gang Wang and Peng Hu
  3.81
• Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model (2025)
  Gan Zhang et al.
  3.70
• Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction (2025)
  Jiaqi Zheng et al.
  3.70
• AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage (2024)
  G. S. Seabra (1 et al.
  3.64
• SAGE-Amine: Generative Amine Design with Multi-Property Optimization for Efficient CO2 Capture (2025)
  Hocheol Lim et al.
  3.59
• Physics-Informed Residual Neural Ordinary Differential Equations for Enhanced Tropical Cyclone Intensity Forecasting (2025)
  Fan Meng
  3.59
• AtmosSci-Bench: Evaluating the Recent Advance of Large Language Model for Atmospheric Science (2025)
  Chenyue Li et al.
  3.53
• Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming (2025)
  Xiaofeng Liu and Yalan Song
  3.53
• Learning Physically Interpretable Atmospheric Models from Data with WSINDy (2025)
  Seth Minor et al.
  3.47
• MOFA: Discovering Materials for Carbon Capture with a GenAI- and Simulation-Based Workflow (2025)
  Xiaoli Yan et al.
  3.47
• Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy (2025)
  Ron van Bree et al.
  3.47
• Comparing Socially-Equitable Renewable Energy Budget Allocation MDP Policies in Mature and Emerging Economies (2026)
  Riya Kinnarkar et al.
  3.45