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
LAMP
In Progress
Lensless Actinic Metrology for EUV Photomasks
Big Science Data
DS4MS
In Progress
Data Science for Multiplexing Spectrometers
Big Science Data
ML-ED
In Progress
Increased spatial resolution in electron detectors through machine learning
Big Science Data
FastPlasmaSim
In Progress
Acceleration of Free-boundary Grad-Shafranov codes using advanced numerical methods
Big Science Data
CHIP
In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Big Science Data
MLfusion
In Progress
Machine Learning for Disruption Prediction in Tokamaks
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
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
DLOC
Completed
Deep Learning for Observational Cosmology
Big Science Data
DeepMICROIA
Completed
Deep learning for TOMCAT imaging
Biomedical Data Science
Big Science Data
Case studies
Other domains
Data Science per domain
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