Mission statement
Accelerating scientific discovery and providing cross-disciplinary solutions for a broad customer base with recognized expertise in the fields of advanced computing, networking, automation, signal processing, sensing, and modeling and simulation.
Summary
At Oak Ridge National Laboratory, the Autonomous and Complex Systems Group is focused on advancing workflows to accelerate scientific discoveries and provide end-to-end computing, sensing, and data analysis solutions. Researchers in the group have experience in generating novel solutions to meet the challenges of a broad customer base. Researchers develop foundational approaches to address outstanding research challenges and translate these approaches to implementations that are responsive to specific customer needs.
The group is investigating the use of advanced computing methods in the development of emerging classical and quantum network architectures. Although the research occurs at the network level, its application in integrating autonomous facilities has implications across the U.S. Department of Energy complex. These efforts have resulted in the ability to streamline advanced experiments with niche instrumentation and make efficient use of high-performance computing (HPC) resources. The group has also made significant advances in virtual infrastructure twins; these advancements enable the software development and testing of compute-instrument ecosystems without requiring resources that are either sparsely available or in the design or construction phase.
The group also specializes in research that combines applied mathematics and HPC to accelerate high-fidelity modeling and simulation for various engineering applications. These efforts include the development of high-accuracy numerical methods matched to challenging computational simulation problems and the implementation of these methods at scale with HPC resources.
Group experts also focus on accelerating data processing workflows for edge processing of high-bandwidth data collection systems. This work includes optimizing advanced processor memory for specific mathematical operations that are needed for particular signal processing routines. Algorithm development for efficient processing of datasets is another dimension of research in the group. The focus is on quantifying the trade-offs of algorithms for specific data processing needs against computational complexity constraints. The group also specializes in constructing solutions that roll up the optimization and algorithm research with hardware and throughput limitations of compute environments at various scales.
