Accelerate development of viable fusion energy
Ian Langmore studied the mathematics of inverse problems under Gunther Uhlmann at the University of Washington
. After his PhD, he worked on probabilistic methods for inverse problems in transport with Guillaume Bal at Columbia.
At Google, Ian worked on Bayesian modeling for local search algorithms, before moving on to the inverse problem of plasma state reconstruction.
This places him happily at the intersection of applied probability, software engineering, and physics,
all with a real-world purpose. His secret goal is to use rigorous mathematics in engineering. "
One more mathematician attempt on hot fusion.
Lots of maths .....but all this does is simply model everything we know anyway. How does this get us anywhere? Where is the new physics we need TG?
New Google USPTO patent --
United States Patent 10,566,094 February 18, 2020
Enhanced electron screening through plasmon oscillations
Enhanced Coulomb repulsion screening around light element nuclei is achieved by way of utilizing electromagnetic (EM) radiation to induce plasmon oscillations in target structures (e.g., nanoparticles) in a way that produces high density electron clouds in localized regions of the target structures, thereby generating charge density variations around light element atoms located in the localized regions. Each target structure includes an electrically conductive body including light elements (e.g., a metal hydride/deuteride/tritide) that is configured to undergo plasmon oscillations in response to the applied EM radiation. The induced oscillations causes free electrons to converge in the localized region, thereby producing transient high electron charge density levels that enhance Coulomb repulsion screening around light element (e.g., deuterium) atoms located in the localized regions. Various systems capable of implementing enhanced Coulomb repulsion screening are described, and various nanostructure compositions and configurations are disclosed that serve to further enhance fusion reaction rates.
the google search page shows illustrations
It seems to be just an application, and I don't see much practical results.
The style of illustration looks like it is a patent application following a lab finding?
What do you think?
Note that it involves LED light and THz source... I connect it to the work of Dennis Letts.