All projects
AutoGraph
Automated multi-scale graph manipulation with topological and flow-based methods
- Big data
- Data Analysis
- geospatial
- + 2
CEDAR
CEDAR is MCnet’s initiative to support sustainable, reusable software tools for collider phenomenology, including Rivet, YODA, and LHAPDF, enabling precision comparisons between theory and experiment.
- Big data
- CERN
- Data Analysis
- + 4
City Cloud
From the Things to the Cloud and back
- Data Analysis
- IoT
- Workflow technologies
CLASS-web
Bringing the Chemistry Land-surface Atmosphere Soil Slab (CLASS) model to the web browser
- Graphical user interface
ConFu
Consolidating and Future-proofing Kernel Tuner by developing Software Engineering Best Practices
- automated testing
- auto-tuning
- continuous integration
- + 4
CRiSp
City River Spaces, a tool for automated and scalable delineation of urban river spaces with spatial-temporal big data
- Big data
- Data Analysis
- geospatial
Data Story Telling
Improving how the eScience Center communicates complex research outputs, especially data-driven results, using data storytelling techniques.
- Data Analysis
- storytelling
- Visualization
DEEPDIP
Discovering deep physics models with differentiable programming
- GPU
- Machine learning
- neural networks
- + 2
DeepMolGen
Deep learning for molecule generation with optimal properties
- Machine learning
DeltaCrop
From Theory to Gradients: Crop Growth Models for the AI era
- Agriculture
- Climate change
- deep learning
- + 4
DEMOSES
Designing and modelling future systems of energy systems
- Inter-operability & linked data
- Multi-scale & multi model simulations
- Workflow technologies
DEPICTION
DEveloPing an International CollaboraTIon to advance community-based, Open and FAIR eNvironmental modelling
- FAIR
- software sustainability