PNNL

The Scalable, Efficient and Accelerated Causal Reasoning Operators, Graphs and Spikes for Earth and Embedded Systems (SEA-CROGS) Center advances scalable and efficient physics-informed machine intelligence to accelerate modeling, inference, causal reasoning, etiology, and pathway discovery for Earth systems, embedded systems, mobile platforms, and others by a thousand times.

The SEA-CROGS investigators are developing higher levels of abstraction at the operator regression level that can be expressed using deep neural layers, kernels, graphs, and spiking neural networks, and implemented into the next generation of power-efficient advanced computing architectures. 

The impact of SEA-CROGS will be a paradigm shift in our computational capability to analyze and predict the behavior of complex systems.

The SEA-CROGS is a collaboration between Pacific Northwest National Laboratory and Sandia National Laboratories, with academic partners at Brown University, Yale University, California Institute of Technology, New Jersey Institute of Technology, Spelman College, and Stanford University.

This work is supported by the Applied Mathematics Program within the Department of Energy Office of Advanced Scientific Computing Research.

SEA-CROGS Latest News and Features

KARNIADAKIS NAMED 2023 HIGHLY CITED RESEARCHER

George Karniadakis was named to the 2023 Highly Cited Researchers List by Clarivate Analytics, a list that recognizes world-class researchers selected for their exceptional research performance.

WCCM-PANACM MINISYMPOSIA TO BE ORGANIZED BY SEA-CROGS RESEARCHERS

SEA-CROGS researchers are organizing two minisymposiums for the upcoming 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, taking place July, 2024 in Vancouver, Canada.