Derived from the Latin word for "faster," the word “ocius (OH-see-us)” in our company’s name, Ocius Technologies LLC, indicates that several of our research projects concern making a technology work much, much faster.
Analog computing for complex simulations is our main project, currently in Phase II of a grant from DARPA. Ocius Tech was chosen for DARPA's "ACCESS" project for our development of analog computer chips for transformational speedups (at low power) for the solution of systems of partial differential equations modeling physical processes. This project is headed by PI Arjuna Madanayke. Applications include electromagnetics, computational fluid dynamics, or any application involving modeling based on systems of equations. Our fabricated analog co-processors solve systems of partial differential equations at speeds many times faster than digital methods. Ocius Tech welcomes inquiries related to any algorithm that is taking much too long to compute, as analog computing may provide the speedup needed. (Review a recent brief White Paper at this link)
For a basic description of our work, see a March, 2020, general audience feature article about Ocius Tech's analog computer chips and their applications at this link to the online Toggle Tech magazine.
In addition... Ocius Tech will soon be partnering with MUSC on a proposal to support a new method headed by CTO Dale Mugler for more accurate proton Magnetic Resonance Spectroscopy (MRS). Besides providing faster results because of a computationally simple algorithm requiring no least squares minimization, it has many advantages such as enabling simple corrections for spectral baseline distortions.
Also, see a more complete listing of our research projects here.