Computing actively participates in the Fermilab Laboratory Directed Research and Development (LDRD) program. LDRD is a national program sponsored by the Department of Energy that allows national laboratories to internally fund R&D projects that are novel and explorative of new ideas or concepts.
Current projects
- Accelerator-based Dark Matter Initiatives at Fermilab
- Accelerator Control with Artificial Intelligence
- Breaking the Big Data Bottleneck and Meeting the Real-time Constraints of Multi-messenger Astronomy in DUNE and LSST with Computational Storage and Machine Learning
- Developing simulation-based Inference to enable next-generation cosmological discoveries
- Graph Neural Networks for Accelerating Calorimetry and Event Reconstruction
- Numerical Integration on GPUs
- Q-NetARCH: Software defined network architecture for quantum networks
Past projects
- Application-Oriented Network Traffic Analysis based on GPUs
- High Energy Physics Pattern Recognition with an Automata Processor
- Implement open source HEP NoSQL database
- Increasing the photon detector light efficiency in a liquid argon detector by an order of magnitude
- Modeling physical systems with deep learning algorithms
- Off-the-Shelf Data Acquisition System
- Preparing HEP reconstruction and analysis software for exascale era computing
- Silicon precision timing detectors for minimum ionizing particles
