— Background: Chaos is considered hypersensitive to conditions of a system and is often thought to be unpredictable and difficult to explain. However, recent work has shown that chaos can be added as noise to improve amplification of weak signals through stochastic resonance. Stochastic resonance has …
— Background
Material morphology and composition are critical for production of Li+ ion battery cathodes, and there is a need for improved synthesis methods that yield high quality materials through cost effective, green, scalable processes. Further, there is often a need to dope materials during syn…
— Background
Material morphology and composition are critical for production of Li+ ion battery cathodes, and there is a need for improved synthesis methods that yield high quality materials through cost effective, green, scalable processes. Further, there is often a need to dope materials during syn…
— Many problems require the analysis of large, high-dimensional datasets, which make the problem intractable to most optimization algorithms. Gilboa has developed a new parallel distributed algorithm for block optimization problems using adaptive regularizer PDARÂ. PDAR is able to solve both t…
— A novel method for solving the inverse problem of inferring the conductivity tensor field structure (e.g. biological tissue) from a set spatiotemporal measurement. The new method is computationally more efficient than existing methods. We achieved the computational efficiency by using the optimizati…
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