Open, retrainable crop-mapping workflows with emerging foundation-model integration
Resources
Explore resources about AI-enabled scientific research in Europe
YieldSAT
A multimodal benchmark dataset for field and subfield crop yield prediction
Tessera
Open reuse of geospatial foundation-model embeddings for Earth observation
Semantic workflows for atomistic simulations
Toward Knowledge-Based Workflows: A Semantic Approach to Atomistic Simulations for Mechanical and Thermodynamic Properties
Bonding Analysis Database and Machine Learning Framework
Ontology-Aligned Materials Workflows
Ontology-Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction
Deep Learning for Slurry Modelling
Deep learning-enhanced physical modelling for tape-casting slurry microstructures of solid oxide cell substrates
polySCOUT
Deep learning-enhanced physical modelling for tape-casting slurry microstructures of solid oxide cell substrates
pyMarAI
Human-in-the-Loop Deep-Learning Toolchain for Tumor Spheroid Delineation
Semantic Segmentation via Foundation Features and Random Forests
Segmentation of various organelles of microalgae in free-living cell and symbiotic forms in large 3D electron microscopy images
Implicit neural image field for biological microscopy image compression
ViV1T
AI-guided closed-loop discovery in visual neuroscience