Big Science Data

Big Science Data

In close collaboration with the prestigious Paul Scherrer Institute, the SDSC team leverages big data from large-scale research infrastructures. We drive innovation and advance scientific discovery in particle physics, tomographic microscopy, and neurosciences.

Projects

ML-L3DNDT

Completed
Robust and scalable Machine Learning algorithms for Laue 3-Dimensional Neutron Diffraction Tomography
Big Science Data

CHIP

In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Big Science Data

RED-ML

Completed
Reduction of high volume experimental data using machine learning
Big Science Data

ML4FCC

In Progress
Machine Learning for the Future Circular Collider Design
Big Science Data

MLATEM

Machine Learning tools for Analytical Transmission Electron Microscopy
Big Science Data

COVID-19

Completed
Epidemic Forecasting
Biomedical Data Science
Big Science Data
Digital Administration

PACMAN LHC

Completed
Particle Accelerators and Machine Learning
Big Science Data

PACMAN HIPA

Completed
Particle Accelerators and Machine Learning
Big Science Data

Neuro-choice

Completed
Extracting Neural Activity Signals from Large-scale Calcium Imaging Data
Biomedical Data Science
Big Science Data

COMMIT

Completed
Context-Aware Mobility Mining Tools
Big Science Data
Digital Administration
Energy, Climate & Environment

BISTOM

Completed
Bayesian Parameter Inference for Stochastic Models
Big Science Data

DLOC

Completed
Deep Learning for Observational Cosmology
Big Science Data

DeepMICROIA

Completed
Deep learning for TOMCAT imaging
Biomedical Data Science
Big Science Data

Other domains

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