Key papers

• ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution (2025)
  Robert Tjarko Lange et al.
  11.17
• InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery (2026)
  Shiyang Feng et al.
  11.03
• Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions (2025)
  Jiadong Lou et al.
  7.02
• Multilevel neural simulation-based inference (2025)
  Yuga Hikida et al.
  6.01
• Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science (2025)
  Runlong Yu et al.
  5.79
• SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models (2025)
  Chuan Qin et al.
  4.76
• Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction Tasks (2026)
  Hamid Ebrahimy et al.
  4.33
• Are LLMs Ready for Scientific Discovery? A Capability-Oriented Benchmark for AI Scientists (2026)
  Chuhan Shi et al.
  4.33
• Geometric Learning Dynamics (2025)
  Vitaly Vanchurin
  4.30
• Enabling AI Scientists to Recognize Innovation: A Domain-Agnostic Algorithm for Assessing Novelty (2025)
  Yao Wang et al.
  4.25
• From Simulation to Discovery: AI Enabled Probabilistic Emulation of Mechanistic Crop Systems (2026)
  Mojdeh Saadati et al.
  4.22
• Compass: Navigating Global Marine Lead Data Integration through Expert-Guided LLM Agent (2026)
  Yiming Liu et al.
  4.22
• Neural cellular automata: applications to biology and beyond classical AI (2025)
  Benedikt Hartl et al.
  3.92
• AutomataGPT: Forecasting and Ruleset Inference for Two-Dimensional Cellular Automata (2025)
  Jaime A. Berkovich and Noah S. David and Markus J. Buehler
  3.75
• Reconceptualizing Smart Microscopy: From Data Collection to Knowledge Creation by Multi-Agent Integration (2025)
  P.S. Kesavan and Pontus Nordenfelt
  3.70
• Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations (2025)
  Junlan Chen et al.
  3.59
• Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy (2025)
  Ron van Bree et al.
  3.47
• Friend or Foe (2025)
  Oleksandr Cherendichenko et al.
  2.99
• Aleks: AI powered Multi Agent System for Autonomous Scientific Discovery via Data-Driven Approaches in Plant Science (2025)
  Daoyuan Jin et al.
  2.93
• Scientific Machine Learning with Kolmogorov-Arnold Networks (2025)
  Salah A. Faroughi et al.
  2.87
• Evaluating machine learning models for predicting pesticide toxicity to honey bees (2025)
  Jakub Adamczyk et al.
  2.65
• Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback (2025)
  Jiakang Yuan et al.
  2.54
• ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono (2025)
  Jingquan Wang et al.
  2.54
• A green solvent screening tool for emerging materials via uncertainty aware, transformer enhanced transfer learning (2026)
  Ioannis Kouroudis et al.
  1.89
• Toward Artificial Intelligence Enabled Earth System Coupling (2026)
  Maria Kaselimi et al.
  1.78
• InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI (2026)
  Can Wang et al.
  1.78
• Depth-Resolved Coral Reef Thermal Fields from Satellite SST and Sparse In-Situ Loggers Using Physics-Informed Neural Networks (2026)
  Alzayat Saleh and Mostafa Rahimi Azghadi
  1.78
• What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity (2026)
  Laura Alonso Bartolom\'e (MICALIS et al.
  1.78
• Machine Learning for Complex Systems Dynamics: Detecting Bifurcations in Dynamical Systems with Deep Neural Networks (2026)
  Swadesh Pal and Roderick Melnik
  1.72
• Leveraging Phytolith Research using Artificial Intelligence (2026)
  Andr\'es G. Mej\'ia Ram\'on et al.
  1.72
• Bayesian Inference for Missing Physics (2026)
  Arno Strouwen
  1.72
• Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI (2026)
  Joao Manoel Herrera Pinheiro et al.
  1.72
• The AI Scientific Community: Agentic Virtual Lab Swarms (2026)
  Ulisses Braga-Neto
  1.72
• FlowPIE: Test-Time Scientific Idea Evolution with Flow-Guided Literature Exploration (2026)
  Qiyao Wang et al.
  1.72
• AgroFlux: A Spatial-Temporal Benchmark for Carbon and Nitrogen Flux Prediction in Agricultural Ecosystems (2026)
  Qi Cheng et al.
  1.67
• EvoMU: Evolutionary Machine Unlearning (2026)
  Pawel Batorski et al.
  1.67
• BABE: Biology Arena BEnchmark (2026)
  Junting Zhou and Jin Chen and Linfeng Hao and Denghui Cao and Zheyu Wang and Qiguang Chen and Chaoyou Fu and Jiaze Chen and Yuchen Wu and Ge Zhang and Mingxuan Wang and Wenhao Huang and Tong Yang
  1.67
• Multi-Scale Temporal Homeostasis Enables Efficient and Robust Neural Networks (2026)
  MD Azizul Hakim
  1.67
• AI-Driven Predictive Modelling for Groundwater Salinization in Israel (2026)
  Laxmi Pandey et al.
  1.67
• Importance inversion transfer identifies shared principles for cross-domain learning (2026)
  Daniele Caligiore
  1.67
• PHAST: Port-Hamiltonian Architecture for Structured Temporal Dynamics Forecasting (2026)
  Shubham Bhardwaj et al.
  1.67
• Neuro-Symbolic Activation Discovery: Transferring Mathematical Structures from Physics to Ecology for Parameter-Efficient Neural Networks (2026)
  Anas Hajbi
  1.61
• Multi-Scale Negative Coupled Information Systems (MNCIS): A Unified Spectral Topology Framework for Stability in Turbulence, AI, and Biology (2026)
  Pengyue Hou
  1.61
• Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems (2026)
  Benedikt Hartl et al.
  1.61
• Large Language Model-Powered Evolutionary Code Optimization on a Phylogenetic Tree (2026)
  Leyi Zhao and Weijie Huang and Yitong Guo and Jiang Bian and Chenghong Wang and Xuhong Zhang
  1.61
• AgriPINN: A Process-Informed Neural Network for Interpretable and Scalable Crop Biomass Prediction Under Water Stress (2026)
  Yue Shi et al.
  1.61
• OSIRIS: Bridging Analog Circuit Design and Machine Learning with Scalable Dataset Generation (2026)
  Giuseppe Chiari et al.
  1.61
• The future of AI in critical mineral exploration (2025)
  Jef Caers
  1.56
• Learning From Limited Data and Feedback for Cell Culture Process Monitoring: A Comparative Study (2025)
  Johnny Peng et al.
  1.56
• ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms (2025)
  Juan Diego Toscano et al.
  1.56
• Interpretable Neural Approximation of Stochastic Reaction Dynamics with Guaranteed Reliability (2025)
  Quentin Badolle et al.
  1.56
• General-purpose AI models can generate actionable knowledge on agroecological crop protection (2025)
  Kris A.G. Wyckhuys
  1.56
• The Universe Learning Itself: On the Evolution of Dynamics from the Big Bang to Machine Intelligence (2025)
  Pradeep Singh et al.
  1.56
• Interpretable Machine Learning for Reservoir Water Temperatures in the U.S. Red River Basin of the South (2025)
  Isabela Suaza-Sierra et al.
  1.50
• Predicting Microbial Interactions Using Graph Neural Networks (2025)
  Elham Gholamzadeh et al.
  1.50
• Accelerating scientific discovery with the common task framework (2025)
  J. Nathan Kutz et al.
  1.50
• Simulation-based Methods for Optimal Sampling Design in Systems Biology (2025)
  Tuan Minh Ha and Binh Thanh Nguyen and Lam Si Tung Ho
  1.50
• Prediction-Augmented Trees for Reliable Statistical Inference (2025)
  Vikram Kher et al.
  1.44
• Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systems (2025)
  Long Jiang et al.
  1.39
• Data-Driven Discovery of Emergent Dynamics in Reaction-Diffusion Systems from Sparse and Noisy Observations (2025)
  Saumitra Dwivedi et al.
  1.39